JP6981759B2 - Operation planning device and method - Google Patents

Description

The present invention relates to an operation plan creation technique for creating an operation plan for a plurality of heat source devices provided in an energy supply system.

In recent years, in the air conditioning system of commercial buildings, the introduction of energy supply systems that use various energy sources for emergencies is progressing. However, for electricity and gas, in addition to pay-as-you-go billing according to usage, annual energy contracts are stipulated based on standards such as peak usage and leveling. Creating an operation plan for multiple heat source devices requires a great deal of effort for the administrator (operator).

Conventionally, an operation assisting technique for automatically calculating an operation plan for such a plurality of heat source devices has been proposed (see, for example, Patent Document 1). In this prior art, the operator sets and inputs constraint conditions and objective functions for each of the operation guideline conditions indicating the conditions related to the operation guideline of each heat source device in advance, and the constraint conditions are satisfied in all of these operation guideline conditions. The operation plan is specified by solving the optimization problem that finds the solution that minimizes or maximizes the objective function within the above range based on the linear programming method.

In the above-mentioned prior art, it is possible to set two formulation patterns, a hard constraint type and a soft constraint type, as a formulation pattern when formulating an operation guideline condition as a definition expression of an optimization problem. These formulation patterns stipulate the strictness of compliance with the specified level of the index value expressed as a function of the target design variable, and specifically express the operator's request as follows. Is.

<Hard constraint type pattern>
・ I want to make sure that the index value is below the specified level.
・ If it is below the standard value, it is judged that there is no superiority or inferiority in any value of the index value.
<Soft constraint pattern>
-The index value does not necessarily have to be below the specified level, but we want to keep it below the level as much as possible.
・ If it is below the standard value, it is judged that there is no superiority or inferiority in any value of the index value.

At this time, when the hard constraint type pattern is used, there is an advantage that a solution satisfying the level is always obtained when an executable solution exists, but there is a case where the executable solution does not exist, in which case. There is a disadvantage that a solution cannot be obtained.

On the other hand, when a soft-constrained pattern is used, there is no possibility that a feasible solution does not exist by using it, and even if the level cannot be met, there is an advantage that a solution can be obtained with the amount of unachieved level as small as possible. be. However, there is a demerit that there is a possibility that a solution that does not meet the standard can be obtained even though there is a solution that meets the standard.
According to the prior art, the operator searches (examines) an operation plan that satisfies the requirements as much as possible by appropriately selecting and setting these formulation patterns and executing the optimization calculation.

Japanese Unexamined Patent Publication No. 2015-055941

However, in such a conventional technique, two formulation patterns, a hard constraint type and a soft constraint type, can be set as a formulation pattern when formulating an operation guideline condition, and each operation guideline condition can be set as these. It will be set as one of the formulation patterns, but it may not be applicable as a formulation pattern other than these, and the operator's request may not be accurately expressed by these formulation patterns alone. Therefore, there is a problem that it is not possible to obtain an operation plan that sufficiently satisfies the operator's requirements, or a large amount of formulation adjustment work is required to obtain the operation plan.

For example, there may be a case where it is desired that the index value is always equal to or less than a specified level value, and it is desired to set a requirement that the smaller the index value is, the more desirable it is. In such a case, if the formula is formulated with a hard constraint pattern, it is difficult to obtain such a solution even if there is a solution whose index value is smaller than the level value. Further, when the formula is formulated by the soft constraint type pattern, there may be a solution whose index value is equal to or less than the level value, but a solution that does not satisfy the level value may be obtained depending on other conditions.

On the other hand, it is not always necessary to set the index value below the specified level value, but it is desirable if the amount of unachieved level is to be as small as possible and the smaller the index value is than the level value. There are cases where you want to set a requirement in the operating guideline condition that the degree is smaller than the range that does not meet the standard value. In such a case, if the formula is formulated with a soft constraint pattern, it is difficult to obtain such a solution even if there is a solution whose index value is smaller than the level value. In addition, if the formula is formulated with a soft constraint pattern and a level smaller than the required level is intentionally set, it becomes easier to obtain a solution that is smaller than the level value required by the index value, but other minimization beyond the level value is possible. In some cases, a solution may be obtained in which the amount of unachieved level of other soft constraints is increased by giving priority to the minimization of the amount of unachieved level of other soft constraints more than necessary. Further, when the formula is formulated as a hard constraint type, a solution may not be obtained because there is no feasible solution that satisfies the level even though the level does not have to be satisfied.

The present invention is for solving such a problem, and an object of the present invention is to provide an operation plan closer to the operator's request with less formulation adjustment work.

In order to achieve such an object, the operation planning apparatus according to the present invention is used for each index for evaluating the process of generating demand energy by controlling the start and stop of a plurality of heat source devices. It is obtained by executing the optimization operation for the optimization problem including the objective function of the operation guideline condition and the definition formula indicating the constraint condition obtained by setting the required operation guideline condition and formulating these operation guideline conditions. It is an operation plan creation device that creates an operation plan indicating the start and stop of the heat source device based on the calculation result, and is used as an index value calculation function for calculating the index and the index for each operation guideline condition. The formulation used when formulating the operation guideline condition from a plurality of preset formulation patterns based on the operation guideline condition setting unit that sets the required level value and the input selection instruction. A formulation pattern selection unit that selects a pattern for each operation guideline condition, an index value calculation function for the operation guideline condition, a level value, and an objective function indicating the operation guideline condition based on the formulation pattern. And the formulation processing unit that formulates the constraint conditions, and the definition formula obtained by the formulation, the optimization operation that minimizes the value of the objective function is performed under the constraint conditions, and the obtained operation is performed. It is provided with an operation plan creation unit that creates the operation plan based on the result, and in the formulation pattern, a solution in which the index value is larger than the level value is an infeasible solution in the calculation result, and the above-mentioned In the first formulation pattern that generates a definition formula indicating that the gradient of the lower bound value of the objective function with respect to the index value becomes larger than zero in the range where the index value is smaller than the level value, and the index in the calculation result. In the range where the value is larger than the level value, the lower bound value of the objective function increases monotonically, and in the range where the index value is smaller than the level value, the gradient of the lower bound value of the objective function with respect to the index value is larger than zero. It is intended to include at least one or both of the second formulation patterns that generate a definition expression indicating that the gradient is smaller than the gradient in the range larger than the level value.

In addition, the other operation planning apparatus according to the present invention sets the operation guideline conditions required for the index for each index for evaluating the process of generating demand energy by controlling the start and stop of a plurality of heat source devices. The optimization operation is executed for the optimization problem including the objective function of the operation guideline condition and the definition formula indicating the constraint condition obtained by setting and formulating these operation guideline conditions, and based on the obtained operation result. An operation plan creation device that creates an operation plan indicating the start and stop of the heat source device, and an index value calculation function definition unit that defines an index value calculation function for calculating the index for each operation guideline condition. Used when formulating the operation guideline condition from a plurality of preset formulation patterns based on the level value setting unit for setting the level value required for the index and the input selection instruction. The operation guideline condition is shown based on the formulation pattern selection unit that selects the formulation pattern for each operation guideline condition, the index value calculation function for the operation guideline condition, the level value, and the formulation pattern. The formulation processing unit that formulates the objective function and constraint conditions, and the definition formula obtained by the formulation are obtained by performing an optimization operation that maximizes the value of the objective function under the constraint conditions. It is provided with an operation plan creation unit that creates the operation plan based on the calculation result, and the formulation pattern is an operation in which the optimization operation maximizes the value of the objective function under the constraint condition. In this case, in the calculation result, a solution in which the index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, the upper bound value of the objective function is related to the index value. In the first formulation pattern that generates the definition formula indicating that the gradient is smaller than zero, and in the calculation result, the upper bound value of the objective function decreases monotonically in the range where the index value is larger than the level value. In addition, a definition formula is generated showing that the gradient of the upper bound value of the objective function with respect to the index value is smaller than zero and larger than the gradient in the range larger than the level value in the range where the index value is smaller than the level value. The second formulation pattern to be used is to include at least one or both of them.

Further, in one configuration example of the operation plan creating device according to the present invention, when the formulation processing unit formulates the objective function and the constraint condition regarding the operation guideline condition, the objective function in a range smaller than the level value. The absolute value of the gradient of is set to a value small enough not to increase the amount of unachieved level of the operation guideline conditions other than the operation guideline condition.

Further, in one configuration example of the operation plan creating device according to the present invention, the formulation pattern includes at least the second formulation pattern, and the formulation pattern selection unit is any formulation according to the selection instruction. When the pattern is not selected, the second formulation pattern is automatically selected.

Further, in one configuration example of the operation plan creating device according to the present invention, the formulation pattern includes at least the first formulation pattern, and the optimization operation minimizes (maximizes) the value of the objective function. In the case of the optimization operation to be performed, the lower bound value of the objective function is monotonically increased (the upper bound value is monotonically decreased) and the index value is smaller than the level value in the range where the index value is larger than the level value. The range further includes a third formulation pattern that generates a definition expression indicating that the index value becomes zero, and the formulation pattern selection unit does not select any formulation pattern by the selection instruction. , The third formulation pattern is automatically selected, the optimization calculation is performed, and it is confirmed that all the operation guideline conditions for which the third formulation pattern is automatically selected satisfy the respective level values. If so, the first formulation pattern is automatically reselected as the formulation pattern of these operation guideline conditions, and the formulation processing unit automatically reselects the index value calculation function and the level of the operation guideline condition. Based on the value and the first formulation pattern, the objective function and the constraint condition indicating the operation guideline condition are re-formulated, and the operation planning unit prepares the constraint expression for all the operation guideline conditions. The optimization operation for minimizing (maximizing) the value of the objective function is performed again under the conditions, and the operation plan is created based on the obtained operation result.

Further, in the operation plan creating method according to the present invention, the operation guideline conditions required for the index are set for each index for evaluating the process of generating demand energy by controlling the start and stop of a plurality of heat source devices. , The optimization operation including the definition formula showing the objective function of the operation guideline condition and the constraint condition obtained by formulating these operation guideline conditions is executed, and the heat source is based on the obtained calculation result. This is an operation plan creation method for creating an operation plan indicating the start / stop of equipment, wherein the operation guideline condition setting unit has an index value calculation function for calculating the index for each operation guideline condition, and the index. The operation guideline condition setting step for setting the required level value and the formulation pattern selection unit formulate the operation guideline condition from a plurality of preset formulation patterns based on the input selection instruction. The formulation pattern selection step for selecting the formulation pattern to be used for each operation guideline condition, and the formulation processing unit performs the index value calculation function, the level value, and the formulation pattern for the operation guideline condition. Based on the above, the formulation processing step for formulating the objective function and the constraint condition indicating the operation guideline condition, and the definition formula obtained by the formulation by the operation plan creation unit, are described under the constraint condition. It includes an operation plan creation step of performing an optimization operation that minimizes the value of the objective function and creating the operation plan based on the obtained operation result, and the formulation pattern is the index value in the operation result. A definition formula indicating that a solution in which is larger than the level value is an infeasible solution, and the gradient of the lower bound value of the objective function with respect to the index value is larger than zero in the range where the index value is smaller than the level value. In the first formulation pattern that generates Then, at least one of the second formulation patterns that generate a definition expression indicating that the gradient of the lower bound value of the objective function with respect to the index value is greater than zero and smaller than the gradient in the range larger than the level value. Or both are included.

Further, in another operation plan creating method according to the present invention, the operation guideline conditions required for the index are set for each index for evaluating the process of generating demand energy by controlling the start and stop of a plurality of heat source devices. The optimization operation is executed for the optimization problem including the objective function of the operation guideline condition and the definition formula indicating the constraint condition obtained by setting and formulating these operation guideline conditions, and based on the obtained operation result. An operation plan creation method for creating an operation plan indicating the start / stop of the heat source device, wherein the operation guideline condition setting unit has an index value calculation function for calculating the index for each operation guideline condition, and the index. The operation guideline condition setting step for setting the level value required for the function and the formulation pattern selection unit select the operation guideline condition from a plurality of preset formulation patterns based on the input selection instruction. A formulation pattern selection step that selects a formulation pattern to be used for formulation for each operation guideline condition, and the formulation processing unit performs the index value calculation function, the level value, and the formulation regarding the operation guideline condition. Based on the formulation pattern, the formulation processing step that formulates the objective function and constraint conditions that indicate the operation guideline conditions, and the operation plan creation unit determines the definition formula obtained by the formulation under the constraint conditions. It is provided with an operation plan creation step of performing an optimization operation for maximizing the value of the objective function and creating the operation plan based on the obtained operation result, and the formulation pattern is described in the operation result. A solution in which the index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, the gradient of the upper bound value of the objective function with respect to the index value becomes smaller than zero. In the first formulation pattern that generates the definition formula shown, and in the calculation result, the upper bound value of the objective function decreases monotonically in the range where the index value is larger than the level value, and the index value is the level. In the range smaller than the value, the gradient of the upper bound value of the objective function with respect to the index value is smaller than zero and larger than the gradient in the range larger than the level value. , At least one or both are included.

Further, in one configuration example of the operation plan creating method according to the present invention, when the formulation processing step formulates the objective function and the constraint condition related to the operation guideline condition, the objective function in a range smaller than the level value. The absolute value of the gradient of is set to a value small enough not to increase the amount of unachieved level of the operation guideline conditions other than the operation guideline condition.

Further, one configuration example of the operation plan creating method according to the present invention includes at least the second formulation pattern as the formulation pattern, and the formulation pattern selection step is any formulation according to the selection instruction. When the pattern is not selected, the second formulation pattern is automatically selected.

Further, one configuration example of the operation plan creating method according to the present invention includes at least the first formulation pattern as the formulation pattern, and the optimization operation minimizes (maximizes) the value of the objective function. In the case of the optimization operation to be performed, the lower bound value of the objective function is monotonically increased (the upper bound value is monotonically decreased) and the index value is smaller than the level value in the range where the index value is larger than the level value. The range further includes a third formulation pattern that generates a definition expression indicating that the index value is zero, and the formulation pattern selection step is when none of the formulation patterns are selected by the selection instruction. , The third formulation pattern is automatically selected, the optimization calculation is performed, and it is confirmed that all the operation guideline conditions for which the third formulation pattern is automatically selected satisfy the respective level values. If so, the first formulation pattern is automatically reselected as the formulation pattern of these operation guideline conditions, and the formulation processing step is the index value calculation function and the level regarding the operation guideline condition automatically reselected. Based on the value and the first formulation pattern, the objective function and the constraint condition indicating the operation guideline condition are re-formulated, and the operation plan creation step is the constraint for all the definition formulas related to the operation guideline condition. The optimization operation for minimizing (maximizing) the value of the objective function is performed again under the conditions, and the operation plan is created based on the obtained operation result.

According to the first formulation pattern, according to the present invention, it is desirable that the index value is always equal to or less than the specified level value for the operation guideline condition, and the smaller the index value is, the more desirable it is. The request can be expressed in the definition formula of the optimization problem.

Further, according to the second formulation pattern, as an operation guideline condition, it is not always necessary to make the index value smaller than the specified level value, but it is a case where the amount of unachieved level is desired to be as small as possible, and the index value. The smaller the value is, the more desirable it is, but the requirement that this degree of requirement is smaller than the range that does not satisfy the level value can be expressed in the definition formula of the optimization problem.

Further, when both the first and second formulation patterns are included, the user (operator) can use any of these formulation patterns, which is appropriate for the operation guideline condition as required. You can select the conversion pattern. As a result, the user's request can be more accurately reflected in the formulation of the optimization problem, so that an operation plan closer to the user's request can be obtained.

It is a block diagram which shows the configuration example of the operation plan making apparatus. This is an example of a model configuration of an energy supply system. It is explanatory drawing which shows the definition expression about a hard constraint + objective type pattern. It is explanatory drawing which shows the definition expression about soft constraint + objective type pattern. This is an explanation showing the operation plan creation process. It is a flowchart which shows the operation plan making process which concerns on 1st Embodiment. It is a flowchart which shows the operation plan making process which concerns on 2nd Embodiment. It is a flowchart which shows the operation plan making process which concerns on 3rd Embodiment.

Next, an embodiment of the present invention will be described with reference to the drawings.
[First Embodiment]
First, the operation plan creating device 10 according to the first embodiment of the present invention will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration of an operation plan creating device.

The operation plan creating device 10 is composed of an arithmetic processing device such as a server device as a whole, and is obtained for each index for evaluating the process of generating demand energy by controlling the start and stop of a plurality of heat source devices. The operation guideline conditions to be obtained are set, the optimization calculation is executed for the objective function and constraint conditions of the operation guideline condition obtained by formulating these operation guideline conditions, and the heat source equipment is started and stopped based on the obtained calculation result. It has a function to create an operation plan indicating.

The energy supply system 20 is an energy supply system including a plurality of various heat source devices such as a heat pump, a heat exchanger, cogeneration, and further, Genelink.
FIG. 2 is an example of a model configuration of an energy supply system. It is composed of a heat source device group composed of a plurality of heat source devices and individual heat source devices n (integers of n = 1 to N) according to the type of energy demand.

As a result, the purchased energy is converted into intermediate energy by the heat source equipment group, and finally converted into individual demand energy by the heat source equipment n, and supplied to various equipment which is a load. Here, for ease of understanding, it is assumed that there is one type of energy demand (cold water, hot water, electricity, steam, etc.) and one type of purchased energy (gas, electricity, heavy oil, etc.). Has been done.

In FIG. 2, dem (J, K) is a parameter indicating a demand forecast value at time K on the representative day J. y _n (J, K) is a real number variable indicating the amount of output energy of the heat source device n that finally supplies the demand energy at the time K of the representative day J. I _n (J, K) is at time K representative day J, start-stop situation of the heat source equipment n (0: Stop 1: running) is an integer variable indicating the. p (J, K) is a real number variable indicating the amount of purchased energy at time K on the representative day J.

The heat source operation control system 30 is composed of an industrial controller, and has a function of performing various operation controls related to each heat source device of the energy supply system 20 based on the operation plan created by the operation plan creation device 10. ..

The host device 40 is composed of a server device as a whole, has a function of managing various management information related to the energy supply system 20, and is optimal for creating an operation plan in response to a request from the operation plan creation device 10. It has a function to be provided as processing data used in the conversion calculation.

Next, with reference to FIG. 1, the configuration of the operation plan creating device 10 according to the present embodiment will be described in detail.
The operation plan creating device 10 is provided with an upper network I / F unit 11, an operation input unit 12, a screen display unit 13, a communication I / F unit 14, a storage unit 15, and an arithmetic processing unit 16 as main functional units. Has been done.

The upper network I / F unit 11 has a function of exchanging various information with the upper device 40 by performing data communication with the upper device 40 via the upper line L1.
The operation input unit 12 is composed of an operation input device such as a keyboard, a mouse, and a touch panel, and has a function of detecting an operator's operation and outputting the operation to the arithmetic processing unit 16.
The screen display unit 13 is composed of a screen display device such as an LCD, and has a function of displaying various information such as an operation menu, setting contents, and an operation plan output from the arithmetic processing unit 16 on the screen.

The communication I / F unit 14 has a function of receiving various information related to the operation control of the energy supply system 20 from the heat source operation control system 30 and a heat source by performing data communication with the heat source operation control system 30 via the communication line L2. It has a function of transmitting an operation plan to the operation control system 30.

The storage unit 15 is composed of a storage device such as a hard disk or a semiconductor memory, and has a function of storing various processing data used in the optimum operation meter creation processing in the arithmetic processing unit 16 and a program executed by the arithmetic processing unit 16. ..
The main processing data stored in the storage unit 15 includes plan target period data 15A, equipment model data 15B, contract data 15C, predicted load data 15D, actual data 15E, and operation guideline condition data 15F.

The plan target period data 15A is data indicating a target date and a target time for creating an operation plan.
The equipment model data 15B is data showing various operating characteristics such as equipment efficiency, maximum (rated) heat generation amount, minimum heat generation amount, and input / output relations related to each heat source device provided in the energy supply system 20.
The contract data 15C is data showing the contents of the energy contract concluded with the energy supply company such as the electric power charge system and the gas charge system.

The predicted load data 15D is data showing various demands such as a hot / cold water demand amount and an electric power demand amount for each time in the energy supply system 20.
The actual data 15E is data showing the actual results regarding the amount of purchased energy such as gas.
The operation guideline condition data 15F provides economic efficiency, energy saving, environmental protection, equipment maintenance, controllability, etc., which are the objectives when operating the energy supply system 20, such as cost condition, supply shortage rate condition, simultaneous operation number condition, and total operation time condition. It is data showing operating conditions consisting of various indicators such as.

The arithmetic processing unit 16 has a microprocessor and its peripheral circuits, and has a function of realizing various processing units for executing an operation plan creation process by executing a program read from the storage unit 15. There is.
As the main processing units realized by the arithmetic processing unit 16, a data acquisition unit 16A, an operation guideline condition setting unit 16B, a formulation pattern selection unit 16C, a formulation processing unit 16D, and an operation plan creation unit 16E are provided. ..

The data acquisition unit 16A acquires various processing data used in the operation plan creation process from the host device 40 via the host network I / F11 or in response to an operator operation detected by the operation input section 12, and stores the data in the storage section 15. It has a function to register.

The operation guideline condition setting unit 16B acquires the operation guideline condition, the index value calculation function for calculating the index, and the level value required for the index according to the operator operation detected by the operation input unit 12, and operates the operation guideline. It has a function of setting the condition data 15F in the storage unit 15.
For example, in the case of the operation guideline condition that the cost required for supplying energy demand is equal to or less than the specified reference value, the cost corresponds to the index, the function formula for calculating the cost corresponds to the index value calculation function, and the reference value is. Corresponds to the standard value.

When the formulation pattern selection unit 16C formulates the operation guideline condition from a plurality of preset formulation patterns based on the input selection instruction according to the operator operation detected by the operation input unit 12. It has a function to select the formulation pattern used for each operation guideline condition. The formulation pattern is a processing pattern for generating a definition expression showing the objective function and the constraint condition regarding the set operation guideline condition. These formulation patterns will be described again.

In the present invention, as this formulation pattern, a hard constraint + objective pattern (first formulation pattern) in which an objective function is combined with a conventional hard constraint pattern and an objective function are combined with a conventional soft constraint pattern. It has two new formulation patterns consisting of soft constraints + target pattern (second formulation pattern).

The formulation processing unit 16D applies the index value calculation function and the level value related to the operation guideline condition to the objective function indicating the operation guideline condition and the general formula of the constraint condition based on the formulation pattern to formulate the operation guideline. It has a function of generating a definition formula for each condition and generating an optimization problem based on these definition formulas and various data stored in the storage unit 15.

The operation plan creation unit 16E communicates the function of creating an operation plan by executing the optimization operation for the optimization problem consisting of the objective function of each operation guideline condition and the definition formula indicating the constraint condition, and the obtained operation plan. It has a function of notifying the heat source operation control system 30 of the operation plan via the I / F unit 14.

[Formulation pattern]
The formulation pattern is a processing pattern for generating a definition expression showing the objective function and the constraint condition regarding the set operation guideline condition. In the present invention, as this formulation pattern, a hard constraint + objective pattern (first formulation pattern) in which an objective function is combined with a conventional hard constraint pattern and an objective function are combined with a conventional soft constraint pattern. We propose two new formulation patterns consisting of soft constraints + target pattern (second formulation pattern).

That is, in the hard constraint + objective pattern, in the calculation result, a solution whose index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, it is related to the index value of the lower bound value of the objective function. A formulation pattern that produces objective functions and constraints that indicate that the gradient is greater than zero.

In the soft constraint + objective pattern, the lower bound value of the objective function increases monotonically in the range where the index value is larger than the level, and the index value of the lower bound value of the objective function increases in the range where the index value is smaller than the level. A formulation pattern that produces objective functions and constraints that indicates that the gradient with respect to is less than the gradient in the range greater than the level.

In the present embodiment, as the formulation pattern used when actually formulating the operation guideline condition, in addition to the conventional hard constraint type pattern and soft constraint type pattern, a new hard constraint + objective pattern and soft constraint + The purpose type pattern is used, and the formulation pattern used for the formulation is selected and applied for each operation guideline condition from these based on the input selection instruction. As a result, the objective function and the constraint condition regarding the set operation guideline condition can be formulated more flexibly, and an operation plan corresponding to various requests required for the energy supply system 20 can be created.

Next, each of the four types of formulation patterns used in this embodiment will be described. The variables used in the following explanation are as follows.
i: Index for specifying operating guideline conditions x: Design variables (vectors including input energy amount and output energy amount of each device, 0-1 integer variable representing start and stop)
f _i (x): Index value calculation function for operating guideline condition i b _i : Level value (parameter) to be achieved for _{f i (x)}
z _i: variable was introduced for formulation G _i (z _i): the objective function gamma _i: inclination correction parameter

[Hard constraint type pattern]
Hard constraints type pattern, in the operating guidelines conditions, even if you want to below the level values b _i specified index value f _i (x) is always, determined that there is no superiority or inferiority in any value equal to or less than the level value b _i It is a formulation pattern that generates a definition expression that expresses what to do.
According to the hard-constrained pattern, defining equation showing the objective function G _i (z _i) is not generated, the formula shows the constraint f _i (x) ≦ b _i to a specific f _i (x), The definition formula is generated by applying _{b i.}

[Soft constraint pattern]
Soft-constrained pattern, in the operating guidance conditions need not be below the level value b _i specified index value f _i (x) is not necessarily, in a case to be below possible levels value b _i, the level value b It is a formulation pattern that generates a definition expression that expresses that it is judged that there is no superiority or inferiority in any value if it is _{i or less.}
According to this soft-constrained _{pattern, G i (z i) =} z i ( the identity function) is generated as a definition formula showing the objective function, indicating the constraint formula _{z i ≧ f i (x)} -b _i and z _i ≧ 0 specific f _i (x), b _i is defined formulas by is fitted is generated.

[Hard constraint + purpose pattern]
Hard constraints + purposive pattern, in the operating guidance conditions, even if you want to decrease below the level value b _i specified index value f _i (x) is always further index values f _i (x) is the level value b _i It is a formulation pattern that generates a definition formula that expresses that the smaller the size, the better.
FIG. 3 is an explanatory diagram showing a definition formula for the hard constraint + target pattern. According to the hard constraints + purposive _{pattern, G i (z i) =} z i as defined expression that the objective function (the identity function) is generated, the formula z _i ≧ f _i indicating the constraint (x) and f _i (x) ≦ b _i to a specific f _i (x), defining equation is generated by b _i is fitted.

[Soft constraint + purpose pattern]
Soft constraints + purposive pattern, in the operating guidance conditions need not be below the level value b _i specified index value f _i (x) is not necessarily, in a case to be below possible levels values b _i, further The smaller the index value f _i (x) is _{smaller than the level value b i} , the better, but the degree of the requirement is smaller than the degree of the requirement in the range that does not satisfy the level. be.
FIG. 4 is an explanatory diagram showing a definition formula for the soft constraint + target pattern. According to this soft constraint + purposive _{pattern, G i (z i) =} z i as defined expression that the objective function (the identity function) is generated, the formula z _i ≧ f _i indicating the constraint (x) -b _i and _{z i ≧ γ i · {f} i (x) -b i} (0 <γ i <1) the specific _{f i (x), b i} , γ i defined formula by is fitted Is generated.

Note that γ _i is a tilt correction parameter that takes a value in the range of 0 <γ _{i <1. Represents the ratio of the magnitude of the gradient of the objective function z i in} the range smaller than the level value to the gradient in the range larger than the level value. As for γ _i , a predetermined one may be used for each operation guideline condition or common to all operation guideline conditions, or may be arbitrarily set by the operator.

In the present embodiment, the objective function and the constraint condition obtained by formulating each operation guideline condition are integrated in this way, and the weighted linear sum of each objective function is used as the final objective function of the optimization operation. At the same time, the optimization problem is defined by setting each constraint condition including the constraint condition defined by various data of the storage unit 15 as the final constraint condition, and by solving this by the optimization operation, the time of the representative day J in K, start-stop situation I _n the heat source device n (J, K), the output energy y _n (J, K), and the purchase amount of energy p (J, K) to identify each value of design variables including , Will create an operation plan.

Therefore, in the optimization problem, the set of all operation guideline conditions i (i = 1, ..., R) is I, and the set of operation guideline conditions whose formulation pattern is a hard constraint type is H. When the weighting coefficient for the guideline condition i is w _i , the feasible region of x determined by the constraint conditions other than the operation guideline condition is X, and the constraint condition for the operation guideline condition i is Constraints _i , the following equation (1) is used. Defined. If X and all _fi (x) are represented in linear form, the above optimization problem can be solved by an optimization operation method generally used in mixed integer linear programming.

In this embodiment, an example of unifying the objective functions by taking the weighted linear sum of the objective functions of each operating guideline condition and solving by the mixed integer linear programming method is shown, but the weighted linear sum is not taken. A metaheuristic algorithm such as GA (Genetic Algorithm) or PSO (Particle Swarm Optimization) may be used as an optimization calculation method while the objective function remains multiple (multipurpose). In this case, it is not necessary to define the weighting coefficient.

Further, the weighting coefficient w _i may be set by the operator, but the set level value b _{i and the minimum value f i} ^* = minf of the preset f _i (x) can be set. _{Using i} (x), w _i = 1 / (b _i − f _i ^* ) may be set.
Further, although the lower bound of the objective function is formulated to be a piecewise linear function related to the index value, it may be formulated as a nonlinear function and solved by using a nonlinear optimization calculation method.

Further, in the present embodiment, for convenience of explanation, four formulation patterns of hard constraint type, soft constraint type, hard + objective type, and soft + objective type are defined, but the method of defining the formulation pattern is this. Not exclusively.

Also, in the hard constraint + objective type, the gradient of the objective function in the range smaller than the level is set to be larger than zero, and the one that becomes zero is defined as another formulation pattern, the hard constraint type. the gradient of the objective function of the type at levels below, e.g., such as multiplying the parameters that can be adjusted in a range of 0 or more prior constraints z _i ≧ f _i f _i of (x) (x), also set to zero The definition of the hard constraint type may be omitted by defining it as possible.

Similarly, in the soft constraint + objective type, the gradient of the objective function in the range smaller than the level is set to be larger than zero, and the one that becomes zero is defined as another formulation pattern, the soft constraint type. The definition of the soft constraint type may be omitted by defining the gradient of the objective function in a range smaller than the level of the objective type as being able to be set to zero.

[Operation of the first embodiment]
Next, the operation of the operation plan creating device 10 according to the present embodiment will be described. Here, as operation guideline conditions, an operation plan is created that satisfies the following (1) cost condition, (2) supply shortage rate condition, (3) simultaneous operation number condition, and (4) total operation time condition as much as possible. The case will be described as an example.

[Operator request]
(1) Cost conditions ・ We want to keep the total cost required for energy supply to 1e7 (10 million) yen or less as much as possible.
・ Furthermore, it is desirable to make it as cheap as possible, but if it meets 1e7 yen, I would like you to give some priority to the fact that the indicators of other driving guideline conditions meet the standard.
(2) Supply shortage rate conditions ・ Please make sure that the shortage rate for the ideal supply value is 5% or less. In this embodiment, the ideal supply value is assumed to be + 10% of the predicted demand value.
・ The closer the shortage rate is to 0%, the more desirable it is. However, the shortage rate shall be 0% or more in the definition.

(3) Simultaneous operation number conditions ・ The number of simultaneous operation units of the heat source equipment that finally supplies the required energy should be 2 or less as much as possible.
・ If absolutely necessary (such as when demand is high), you can move 3 or more units.
・ If it is 2 or less, it may be 2 or 1. It may be determined according to other operating guideline conditions such as cost.
(4) Total operating time conditions ・ The total operating time of the heat source device 1 must be 5000 hours or less in the entire period.
・ There is no difference in hours as long as it is 5000 hours or less. On the contrary, it would be a problem if the time was shortened and the amount of unachieved levels of other index values increased.

Next, the operation plan creation process in the operation plan creation device 10 will be described with reference to FIGS. 5 and 6. FIG. 5 is an explanation showing an operation plan creation process. FIG. 6 is a flowchart showing an operation plan creation process according to the first embodiment.
The operation plan creation device 10 executes the operation plan creation process of FIGS. 5 and 6 in response to the operator operation. As a premise, it is assumed that the planning target period data 15A, the equipment model data 15B, the contract data 15C, the predicted load data 15D, and the actual data 15E are preset in the storage unit 15.

First, the operation guideline condition setting unit 16B displays the setting screen on the screen display unit 13, and is the operation guideline condition (1) cost condition, (2) supply according to the operator operation detected by the operation input unit 12. For the shortage rate condition, (3) simultaneous operation number condition, and (4) total operation time condition, the index value calculation function and the level value are acquired and set in the storage unit 15 as the operation guideline condition data 15F (step 100). As for the index value calculation function, a preset one may be selected according to the perator operation.

Next, the formulation pattern selection unit 16C displays the setting screen on the screen display unit 13, and according to the operator operation detected by the operation input unit 12, the formulation pattern used for the formulation is set for each operation guideline condition. Select (step 101).
Here, according to the above-mentioned operator's request, software constraint + purpose type, hardware for (1) cost condition, (2) supply shortage rate condition, (3) simultaneous operation number condition, and (4) total operation time condition. It is assumed that the constraint + purpose type, soft constraint type, and hard constraint type formulation patterns are selected.

After that, the formulation processing unit 16D acquires the index value calculation function and the level value for each operation guideline condition from the operation guideline condition data 15F of the storage unit 15, and based on the formulation pattern of each operation guideline condition, these. By formulating the objective function and the constraint condition indicating the operation guideline condition, the definition formula used for the optimization operation is generated (step 102).

Here, as an example, it is assumed that the formulation is performed using the following parameters and variables.
[Parameter]
J: It is a parameter representing the representative date of the planning target, and is included in the planning target period data 15A. Regarding the operation for one year, the same operation shall be planned on the day within the same month, and J = 1-12. That is, J = 1 to 12 refers to each month.
K: It is a parameter representing the time of the planning target, and is included in the planning target period data 15A. It is assumed that the operation is planned every hour, and K = 1 to 24.

days (J): It is a parameter representing the number of days of the representative day J, and is included in the planning target period data 15A. In this embodiment, it is the number of days in each month.
dem (J, K): It is a parameter representing the demand forecast value at the time K of the representative day J, and is included in the forecast load data 15D.
N: A parameter representing the number of heat sources that finally supply the energy demand.

c (J, K): It is a parameter representing the hourly unit price of the purchased energy at the time K of the representative day J, and is included in the contract data 15C.
idealSupply (J, K): A parameter representing an ideal value of the supply amount. In this embodiment, it is assumed that idealSupply (J, K) = dem (J, K) * 1.10.

b _c : A parameter indicating the desired level of cost, which is set by user input.
b _s : A parameter indicating the desired level of the supply shortage rate, which is set by the input of the user.
b _onNum : A parameter indicating the desired level of the number of operating units, which is set by user input.
b _totalOnTime : A parameter indicating the desired level of the total operating time of the heat source device 1, and is set by the input of the user.
w _c : A parameter indicating the weighting factor of the cost condition.
w _s : A parameter indicating the weighting coefficient of the supply shortage rate.
w _onNum : A parameter indicating the weighting coefficient of the number of operating units.

[variable]
y _n (J, K): A real number variable representing the output energy amount of the heat source device n that finally supplies the demand energy at the time K of the representative day J.
I _n (J, K): Representative date at time K of J, 0-1 integer variable that represents the start-stop of the finally supplied heat source device n demand energy (0: Stop 1: running) is.
p (J, K): A real variable representing the amount of purchased energy at time K on the representative day J.
sudden (J, K) is a real number variable representing the total amount of energy supplied at time K on the representative day J.

f _c : A real variable that represents the total cost for the entire period for which the operation plan is to be created.
f _s (J, K): A real variable representing the supply shortage rate at time K on the representative day J.
f _onNum (J, K): A real number variable representing the number of operating units at time K on the representative day J.
f _totalOnTime : A real number variable representing the total operating time of the heat source device 1.
x (J, K): at time K representative day _{J, y n (J, K} ), a vector obtained by arranging all of the design variables including _{I n (J, K),} p (J, K).

Next, specific examples of the formulation processing regarding the operation guideline conditions in the formulation processing unit 16D, that is, (1) cost condition, (2) supply shortage rate condition, (3) simultaneous operation number condition, and (4) total operation time condition. Will be described respectively.

_{(1) Cost conditions The total cost f c} for the entire period for which the operation plan is to be created shall be defined by the following equation (2), and the cost demand level b _c shall be according to the operator input, b _c = 1e7. Is defined as.

At this time, since (1) soft constraint + objective type is selected as the formulation pattern for the cost condition, the definition equation shown in the following equation (3) is generated for the objective function and the constraint condition. The inclination correction parameter γ _c is defined as, for example, γ _c = 1e (-4).

(2) Supply shortage rate condition The supply shortage rate f _s (J, K) and the total supply energy amount supply (J, K) at time K on the representative day J shall be defined by the following equation (4). , The demand level b _s of the supply shortage rate is defined as _{b s} = 5 according to the operator input.

At this time, since the hard constraint + objective type is selected as the formulation pattern for (2) supply shortage rate condition, the definition equation shown in the following equation (5) is generated for the objective function and the constraint condition.

(3) Simultaneous operation number condition It is _{assumed that the} operation number f onNum (J, K) at the time K of the representative day J is defined by the following equation (6), and the _desired level b onNum of the simultaneous operation number is input by the operator. _Therefore , b onNum = 2 is defined.

At this time, since the soft constraint type is selected as the formulation pattern for (3) the simultaneous operation number condition, the definition formula shown in the following formula (7) is generated for the objective function and the constraint condition.

(4) Total operating time condition The total operating time f _totalOnTime of the heat source device 1 is defined by the following equation (8), and the _desired level of the total operating time of the heat source device 1 b totalOnTime is according to the operator input, b. _{Define totalOnTime} = 5000.

At this time, since the hard constraint type is selected as the formulation pattern for the total operating time condition (4), the objective function is not generated and the definition expression shown in the following equation (9) is generated as the constraint condition. ..

In the present embodiment, since the mixed integer linear programming method is used as the optimization operation method, the formulation processing unit 16D takes the weighted linear sum of each objective function obtained by the formulation, and obtains the following equation (10). ), The final objective function F is generated. At this time, the weight coefficients w _c , w _s , and w on _Num shall be arbitrarily specified by the operator according to the importance of each operation guideline condition.

In this way, after the optimization problem is generated, the operation plan creation unit 16E includes a definition formula showing the objective function and the constraint condition of each operation guideline condition, and the constraint condition determined from various data of the storage unit 15. The optimization operation is executed for the optimization problem (step 103). In the present embodiment, as the solution method, a general solution method used in the mixed integer linear programming method is used.

Subsequently, the operation plan creation unit 16E displays the obtained optimization calculation result on the screen as information indicating the operation plan on the screen display unit 13. After that, according to the operator operation, the heat source operation control system 30 is notified of the operation plan via the communication I / F unit 14 (step 104), and a series of operation plan creation processes are completed.
In the above, the case where the optimization operation is an operation that minimizes the value of the objective function under the constraint condition has been described as an example, but the same applies to the operation that maximizes the value of the objective function. Applicable.

[Effect of the first embodiment]
As described above, in the present embodiment, the operation guideline condition setting unit 16B sets the index value calculation function and the level value for each operation guideline condition, and the formulation pattern selection unit 16C is based on the input selection instruction. Then, the formulation pattern to be used when formulating the operation guideline condition is selected from a plurality of preset formulation patterns, and the formulation processing unit 16D determines the index value calculation function, the level value, and the operation guideline condition. And, based on the formulation pattern, the objective function and the constraint condition indicating the operation guideline condition are formulated.

In addition to this, as a formulation pattern, when the optimization operation is an operation that minimizes (maximizes) the value of the objective function under constraint conditions, the index value becomes larger than the level value in the operation result. Is an infeasible solution, and in the range where the index value is smaller than the level value, a definition expression is generated indicating that the gradient of the index value of the lower bound value (upper bound value) of the objective function is larger (smaller) than zero. In the formulation pattern of 1 and the calculation result, the lower bound value of the objective function increases monotonically (decreases monotonically) in the range where the index value is larger than the level value, and the lower bound value of the objective function increases in the range where the index value is smaller than the level value. At least one or both of the second formulation patterns that generate a definitional expression indicating that the gradient with respect to the index value of is greater than (smaller) than zero and less than (greater than) the gradient in the range greater than the level value. It is intended to be included.

Therefore, according to the first formulation pattern, it is desirable that the index value is always smaller than the specified level value for the operation guideline condition, and the smaller the index value is, the more desirable it is. The conditions can be adapted. As a result, for example, when it is desired to keep the supply shortage rate for the energy demand below the standard value, it is possible to obtain an operation plan in which the supply shortage rate is below the standard value and the supply shortage rate is as low as possible.

Further, according to the second formulation pattern, it is not always necessary to make the index value smaller than the specified level value as an operation guideline condition, but it is a case where it is desired to make the amount of unachieved level as small as possible, and the index value. The smaller the value is, the more desirable it is, but the formulation condition that this requirement is smaller than the range that does not satisfy the level value can be applied. As a result, for example, when it is desired to make the total cost less than or equal to the standard value, it is possible to obtain an operation plan in which the total cost exceeds the designated level value and the total cost is further reduced.

Further, when both the first and second formulation patterns are included, the user (operator) selects an arbitrary formulation pattern suitable for the operation guideline condition from these formulation patterns. can. This makes it possible to more accurately reflect the user's request in the formulation of the optimization problem, so that an operation plan that is extremely close to the user's request can be obtained.

Further, in the present embodiment, when formulating the objective function and the constraint condition regarding the operation guideline condition, the gradient of the objective function in a range smaller than the level value is set to the level unachieved amount of the operation guideline condition other than the operation guideline condition. May be set to a small value so as not to increase.
As a result, the first and second formulation patterns can be used as the same formulation patterns as the hard constraint type pattern and the soft constraint type pattern, and the user's request can be flexibly responded to.

[Second Embodiment]
Next, the operation plan creating device 10 according to the second embodiment of the present invention will be described.
In FIG. 6 described above, a case where the operator sets the formulation pattern for each operation guideline condition by the selection instruction has been described. In the present embodiment, the soft constraint + the target pattern (second formulation pattern) is automatically selected for the operation guideline condition in which none of the formulation patterns is selected by the selection instruction. .. However, it is assumed that the level required for the index value is set even for the operation guideline condition for which the formulation pattern is not selected.

FIG. 7 is a flowchart showing an operation plan creation process according to the second embodiment, and the same or equivalent portions as those in FIG. 6 are designated by the same reference numerals.
That is, the formulation pattern selection unit 16C selects the formulation pattern specified for any operation guideline condition based on the operator selection instruction (step 200), and the soft constraint + for the unselected operation guideline condition. The target pattern (second formulation pattern) is automatically selected (step 201).
In this case, the soft constraint + target pattern is automatically selected first for all the operation guideline conditions, and only the operation guideline condition selected and instructed by the operator is changed to the formulation pattern instructed later. You may.

This reduces the work of selecting the formulation pattern, and if there is a feasible solution for the constraints other than the constraints of the operation guideline conditions that were not instructed to select the formulation pattern in one optimization operation. A solution is obtained. Furthermore, in the obtained solution, the index value of each operation guideline condition satisfies the level rather than minimizing the index value of each operation guideline condition for which the formulation pattern has not been instructed to select beyond the set level. While giving priority to this to some extent, the formulation pattern is minimized beyond the standard as much as possible in consideration of the operation guideline condition in which the selection is instructed, so that a solution closer to the user's request can be obtained.

[Third Embodiment]
Next, the operation plan creating device 10 according to the third embodiment of the present invention will be described.
In the second embodiment described above, it is assumed that the optimization operation is performed only once, but the solution obtained by this is that the level value is satisfied for all the operation guideline conditions for which the formulation pattern is not selected. Is not always the preferred solution.

FIG. 8 is a flowchart showing an operation plan creation process according to the third embodiment, and the same or equivalent portions as those in FIG. 6 are designated by the same reference numerals.
In the present embodiment, first, the formulation pattern selection unit 16C selects the formulation pattern specified for any operation guideline condition based on the operator selection instruction (step 300), and sets the unselected operation guideline condition. On the other hand, the soft constraint type pattern (third pattern) is automatically selected (step 301).

In the soft constraint type pattern (third pattern), when the optimization operation in the operation plan creation unit 16E is an optimization operation that minimizes (maximizes) the value of the objective function, the index value is larger than the level value. A formula that generates an objective function and constraints that indicate that the lower bound value of the objective function increases monotonically (the upper bound value decreases monotonically) in the range, and the index value becomes zero in the range where the index value is smaller than the level value. It is a conversion pattern.

After that, the optimization calculation is executed, and among the obtained calculation results, if the index value satisfies the level value under all the operation guideline conditions for which the formulation pattern is automatically selected (step 302: YES). , The hard constraint + target pattern (first formulation pattern) is automatically reselected for each operation guideline condition for which the formulation pattern is automatically selected (step 303), and the definition expression is regenerated (step 304). , The optimization operation is re-executed (step 305), and the information indicating the operation plan is output based on the obtained operation result.

On the other hand, in the obtained calculation result, when the index value of a certain driving guideline condition does not satisfy the level value among the driving guideline conditions for which the formulation pattern is automatically selected (step 302: NO), the obtained calculation is performed. Outputs information indicating the operation plan based on the result.

As a result, the optimization calculation is required up to two times as compared with the second embodiment, but the index satisfies the level value for all the operation guideline conditions for which the formulation pattern is not instructed to be selected. , A solution that is prioritized over minimizing beyond the level value is obtained. Further, since these indicators are minimized beyond the standard as much as possible in consideration of the operation guideline condition for which the formulation pattern is selected and instructed, a solution closer to the user's request can be obtained.

[Extension of embodiment]
Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present invention within the scope of the present invention. In addition, each embodiment can be implemented in any combination within a consistent range.

10 ... Operation plan creation device, 11 ... Upper network I / F unit, 12 ... Operation input unit, 13 ... Screen display unit, 14 ... Communication I / F unit, 15 ... Storage unit, 15A ... Planning target period data, 15B ... Equipment model data, 15C ... contract data, 15D ... predicted load data, 15E ... actual data, 15F ... operation guideline condition data, 16 ... arithmetic processing unit, 16A ... data acquisition unit, 16B ... operation guideline condition setting unit, 16C ... formula Data pattern selection unit, 16D ... Formulation processing unit, 16E ... Operation plan creation unit, 20 ... Energy supply system, 30 ... Heat source operation control system, 40 ... Upper device, L1 ... Upper line, L2 ... Communication line.

Claims (10)

For each index value for evaluating the process of generating demand energy by starting and stopping control of multiple heat source devices, set the operation guideline conditions required for the index value, and formulate these operation guideline conditions. The optimization operation including the objective function of the operation guideline condition and the definition expression indicating the constraint condition is executed, and an operation plan indicating the start / stop of the heat source device is created based on the obtained calculation result. It is an operation planning device
For each of said operating guidance condition, the index value calculation function for calculating the index value, the operating guidance condition setting unit for setting a level value determined relative to the index value,
Based on the input selection instruction, the formulation pattern used when formulating the operation guideline condition is selected from a plurality of formulation patterns corresponding to different request patterns for the index values, which are set in advance. The formulation pattern selection unit selected for each operation guideline condition,
A formulation processing unit that formulates an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the formulation pattern related to the operation guideline condition.
With respect to the definition formula obtained by the formulation, an optimization operation for minimizing the value of the objective function is performed under the constraint conditions, and an operation plan is created based on the obtained calculation result. With a department,
In the formulation pattern, a solution in which the index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, the gradient of the lower bound value of the objective function with respect to the index value is The lower bound value of the objective function monotonically increases in the range where the index value is larger than the level value and the index value is the level. In the range smaller than the value, the gradient of the lower bound value of the objective function with respect to the index value is larger than zero and smaller than the gradient in the range larger than the level value. An operation planning device characterized by including at least one or both. For each index value for evaluating the process of generating demand energy by starting and stopping control of multiple heat source devices, set the operation guideline conditions required for the index value, and formulate these operation guideline conditions. The optimization operation including the objective function of the operation guideline condition and the definition expression indicating the constraint condition is executed, and the operation plan indicating the start / stop of the heat source device is created based on the obtained calculation result. It is an operation planning device
An index value calculation function definition unit that defines an index value calculation function for calculating the index value for each operation guideline condition,
A level value setting unit that sets the level value required for the index value,
Based on the input selection instruction, the formulation pattern used when formulating the operation guideline condition is selected from a plurality of formulation patterns corresponding to different request patterns for the index values, which are set in advance. The formulation pattern selection unit selected for each operation guideline condition,
A formulation processing unit that formulates an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the formulation pattern related to the operation guideline condition.
With respect to the definition formula obtained by the formulation, an optimization operation for maximizing the value of the objective function is performed under the constraint conditions, and an operation plan is created based on the obtained calculation result. With a department,
In the formulation pattern, when the optimization operation is an operation that maximizes the value of the objective function under the constraint condition, a solution in which the index value is larger than the level value becomes an infeasible solution. In addition, the first formulation pattern for generating a definition formula indicating that the gradient of the upper bound value of the objective function with respect to the index value becomes smaller than zero in the range where the index value is smaller than the level value, and the index value. In the range where is larger than the level value, the upper bound value of the objective function decreases monotonically, and in the range where the index value is smaller than the level value, the gradient of the upper bound value of the objective function with respect to the index value is greater than zero. An operation planning device comprising at least one or both of a second formulation pattern that produces a definitional expression indicating that it is smaller and greater than the gradient in the range larger than the level value. In OPERATION planning device according to claim 1 or claim 2,
When formulating the objective function and the constraint condition regarding the operation guideline condition, the formulation processing unit sets the absolute value of the gradient of the objective function in a range smaller than the level value to the operation guideline other than the operation guideline condition. An operation planning device characterized by setting a small value so as not to increase the amount of unachieved condition level. In OPERATION planning device according to claim 1 or claim 2,
The formulation pattern includes at least the second formulation pattern.
The operation plan creating device is characterized in that the formulation pattern selection unit automatically selects the second formulation pattern when none of the formulation patterns is selected by the selection instruction. In OPERATION planning device according to claim 1 or claim 2,
When the formulation pattern includes at least the first formulation pattern and the optimization operation is an optimization operation that minimizes (maximizes) the value of the objective function, the index value is more than the level value. A definition formula is generated indicating that the lower bound value of the objective function increases monotonically (the upper bound value decreases monotonically) in a large range, and the index value becomes zero in the range where the index value is smaller than the level value. Further including a third formulation pattern,
When none of the formulation patterns is selected by the selection instruction, the formulation pattern selection unit automatically selects the third formulation pattern, performs the optimization calculation, and performs the third formulation. When it is confirmed that all the operation guideline conditions for which the pattern is automatically selected satisfy the respective level values, the first formulation pattern is automatically reselected as the formulation pattern for these operation guideline conditions.
The formulation processing unit is an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the first formulation pattern regarding the operation guideline condition automatically reselected. Reformulated,
The operation plan creation unit re-performs the optimization operation for minimizing (maximizing) the value of the objective function under the constraint conditions for all the definition expressions related to the operation guideline conditions, and the operation result obtained. An operation plan creating device characterized in that the operation plan is created based on the above. For each index value for evaluating the process of generating demand energy by starting and stopping control of multiple heat source devices, set the operation guideline conditions required for the index value, and formulate these operation guideline conditions. The optimization operation including the objective function of the operation guideline condition and the definition expression indicating the constraint condition is executed, and an operation plan indicating the start / stop of the heat source device is created based on the obtained calculation result. It is a method of creating an operation plan to be done.
Operation guidance condition setting unit, for each of the operating guidance condition, the index value calculation function for calculating the index value, the operating guidance condition setting step of setting a level value determined relative to the index value,
When the formulation pattern selection unit formulates the operation guideline condition from a plurality of formulation patterns that correspond to different request patterns for the index values, which are set in advance based on the input selection instruction. The formulation pattern selection step for selecting the formulation pattern to be used for each of the operation guideline conditions, and
A formulation processing step in which the formulation processing unit formulates an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the formulation pattern related to the operation guideline condition. ,
The operation plan creation unit performs an optimization operation for minimizing the value of the objective function under the constraint conditions on the definition formula obtained by the formulation, and the operation plan is based on the obtained calculation result. With operation planning steps to create
In the formulation pattern, a solution in which the index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, the gradient of the lower bound value of the objective function with respect to the index value is The lower bound value of the objective function monotonically increases in the range where the index value is larger than the level value and the index value is the level. In the range smaller than the value, the gradient of the lower bound value of the objective function with respect to the index value is larger than zero and smaller than the gradient in the range larger than the level value. An operation planning method characterized by including at least one or both. For each index value for evaluating the process of generating demand energy by starting and stopping control of multiple heat source devices, set the operation guideline conditions required for the index value, and formulate these operation guideline conditions. The optimization operation including the objective function of the operation guideline condition and the definition expression indicating the constraint condition is executed, and an operation plan indicating the start / stop of the heat source device is created based on the obtained calculation result. It is a method of creating an operation plan to be done.
Operation guidance condition setting unit, for each of the operating guidance condition, the index value calculation function for calculating the index value, the operating guidance condition setting step of setting a level value determined relative to the index value,
When the formulation pattern selection unit formulates the operation guideline condition from a plurality of formulation patterns that correspond to different request patterns for the index values, which are set in advance based on the input selection instruction. The formulation pattern selection step for selecting the formulation pattern to be used for each of the operation guideline conditions, and
A formulation processing step in which the formulation processing unit formulates an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the formulation pattern related to the operation guideline condition. ,
The operation plan creation unit performs an optimization operation for maximizing the value of the objective function under the constraint conditions on the definition formula obtained by the formulation, and the operation plan is based on the obtained calculation result. With operation planning steps to create
In the formulation pattern, in the calculation result, a solution in which the index value is larger than the level value is an infeasible solution, and in the range where the index value is smaller than the level value, the upper bound value of the objective function is used. In the first formulation pattern that generates a definition expression indicating that the gradient with respect to the index value is smaller than zero, and in the calculation result, the upper bound value of the objective function is in the range where the index value is larger than the level value. It is shown that the gradient of the upper bound value of the objective function with respect to the index value is smaller than zero and larger than the gradient in the range larger than the level value in the range where the index value is monotonically decreased and the index value is smaller than the level value. A method for creating an operation plan, which comprises at least one or both of the second formulation patterns for generating a definition formula. In OPERATION planning method according to claim 6 or claim 7,
In the formulation processing step, when formulating the objective function and the constraint condition regarding the operation guideline condition, the absolute value of the gradient of the objective function in a range smaller than the level value is set to the operation guideline other than the operation guideline condition. An operation plan creation method characterized by setting a value small enough not to increase the amount of unachieved condition level. In OPERATION planning method according to claim 6 or claim 7,
The formulation pattern includes at least the second formulation pattern, and the formulation pattern selection step automatically performs the second formulation pattern when none of the formulation patterns is selected by the selection instruction. An operation planning method characterized by selection. In OPERATION planning method according to claim 6 or claim 7,
When the formulation pattern includes at least the first formulation pattern and the optimization operation is an optimization operation that minimizes (maximizes) the value of the objective function, the index value is more than the level value. A definition formula is generated indicating that the lower bound value of the objective function increases monotonically (the upper bound value decreases monotonically) in a large range, and the index value becomes zero in the range where the index value is smaller than the level value. Further including a third formulation pattern,
In the formulation pattern selection step, when none of the formulation patterns is selected by the selection instruction, the third formulation pattern is automatically selected, the optimization operation is performed, and the third formulation is performed. When it is confirmed that all the operation guideline conditions for which the pattern is automatically selected satisfy the respective level values, the first formulation pattern is automatically reselected as the formulation pattern for these operation guideline conditions.
The formulation processing step is an objective function and a constraint condition indicating the operation guideline condition based on the index value calculation function, the level value, and the first formulation pattern regarding the operation guideline condition automatically reselected. Reformulated,
In the operation plan creation step, the optimization operation for minimizing (maximizing) the value of the objective function is performed again under the constraint conditions for all the definition expressions related to the operation guideline conditions, and the operation result obtained is obtained. A method for creating an operation plan, which comprises creating the operation plan based on the above.

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