JP3834788B2 - Power consignment management method and management system - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a power consignment management method and a management system that sell power while satisfying the same amount between a power generation facility and a load facility connected to an electric power system, and more particularly to power consignment management that improves a profit rate.
[0002]
[Prior art]
In the liberalized electric power market, the electric power generation company, the electric power consumer, and an intermediate trader (hereinafter referred to as “marketer”) that mediates these are configured, and electric power is traded in various forms by these members. The members of the market are not limited to these forms, and there are marketers who own power generation facilities, power generation companies that are also power consumers, and the like.
[0003]
In such a power market, each of the market members works to maximize their profits. In other words, power generators try to sell power as high as possible, marketers want to buy power as cheaply as possible and sell as high as possible, and consumers try to buy power as cheaply as possible.
[0004]
On the other hand, these market members also attach importance to long-term earnings stability. For example, generators are more stable in terms of long-term supply and price, even if the unit price is relatively cheaper than the power sellers whose short-term income may be the largest but expected to fluctuate. Tend to choose contracts.
[0005]
In response to such liberalized power transactions, a method for determining the operation of a power generation facility that maximizes the profit of a power generation company has been proposed in, for example, Japanese Patent Application Laid-Open No. 2001-86645. According to this, a plurality of market prices are predicted, a decision is made to sell power to the market with the highest price, and the operation of the power generation equipment is determined so as to maximize the profit. Further, for example, Japanese Patent Application Laid-Open No. 2000-78747 proposes a power purchase method that maximizes the profit on the consumer side.
[0006]
In general, the majority of transactions in the liberalized electricity market are one-to-one medium- to long-term contracts between power producers and consumers, referred to as relative or off-the-counter transactions, and the short-term spot market is at most full demand. Is expected to be around 20%. Therefore, from the point of view of transaction volume, it is important for market members to make good use of the short-term spot market, but it is more important to conclude an optimal medium- to long-term contract.
[0007]
[Problems to be solved by the invention]
By the way, a power generation company or marketer (hereinafter collectively referred to as a power generation company) sells electric power generated or procured by itself to consumers using a power system of a general electric company (so-called electric power company). There are many cases. In this way, a method of selling power via a power company's power transmission network is generally referred to as power consignment, and a fixed commission is paid to the power company. In general, a power consignment contract is a so-called simultaneous method in which the power generation equipment and load equipment to be contracted are connected to the power system at one location, and the power supply and demand monitored at that connection point must be within a certain tolerance. There are the same amount of constraints. In other words, when the power generation amount and the consumption amount are the same, it is assumed that they are the same amount, and if this is violated, a certain penalty is imposed.
[0008]
Therefore, it is the most important issue for power generation companies in the liberalized market to keep the same amount of restrictions and make a power sale contract that can stabilize and maximize profits.
[0009]
However, the conventional technique has a problem in that it does not consider the same amount of restrictions. In other words, in order to keep the same amount of restrictions, the power generation facility must generate power without excess or deficiency by following control corresponding to the demand of the load facility (hereinafter referred to as demand). However, in the case of medium- to long-term contracts, the demand may approach or exceed the operating limit of the power generation facility due to reasons that could not be expected at the beginning and the circumstances of the consumer. Here, the operation restriction may be, for example, that the minimum load restriction is set for the power generation equipment, and the power generation equipment must be stopped when the power generation output falls below this. The reason is that environmental regulations cannot be observed at low loads, or that stable combustion cannot be maintained in the case of thermal power plants.
[0010]
Therefore, when the demand falls below the minimum load limit of the power generation facility, the choice of the power generation facility is either to stop the power generation facility or to keep the minimum load. In either case, however, the same amount cannot be observed at the same time, so it is necessary to pay a penalty to the electric power company in accordance with the supply-demand difference, which is a big loss for the power generation company. In addition, when the power generation equipment is stopped, energy loss is also accompanied by the start and stop.
[0011]
On the other hand, if the contract relating to power consignment prohibits reverse power flow, that is, the supply amount exceeds consumption, when the reverse power flow occurs, the power system breaker will be May be forced to stop power generation.
[0012]
This invention makes it the 1st subject to implement | achieve the electric power consignment management method and management system which satisfy | fill the restrictions of the same amount in electric power consignment.
[0013]
Moreover, this invention makes it the 2nd subject to implement | achieve the electric power consignment management method and management system which can improve a profit rate in addition to a 1st subject.
[0014]
[Means for Solving the Problems]
The power consignment management of the present invention that solves the first problem includes a load facility of a power supply destination of a power generation facility according to one power consignment contract, and a load facility of a power supply destination of a power generation facility according to another power consignment contract To satisfy the restriction of the same amount related to the power consignment, and can be realized using a computer.
[0015]
That is, according to the present invention, when a power generation company consigns power to a power consumer based on a contract, the profit of the entire power generator can be obtained by rearranging the supply-demand relationship between the power generation equipment and the load equipment related to the consignment contract, for example. Manage power consignment to maximize. For example, if there is a possibility that one power generation facility's power generation facilities may be subject to operational restrictions for multiple contracts between a power generation company and a consumer who have a medium- to long-term power consignment contract, the power generation of another power generation company It is characterized in that the loss is reduced by avoiding operational restrictions by temporarily exchanging with the load equipment of the power sales contractor of the equipment.
[0016]
By the way, by exchanging contractors, the loss of one power generation company can be reduced, but the profits of other power generation companies may not necessarily increase. In this case, both the profits will be generated by liquidating the increased revenue as a whole by using the decrease in profit or loss or the increase in profit associated with the exchange of contractors as the source.
[0017]
Further, the power consignment management method of the present invention records fluctuations in demand of each load facility related to a plurality of power consignment contracts, predicts demand in a certain period in the future, and generates power generation equipment corresponding to the predicted demand Predicting the output during the predetermined period of time, determining whether the predicted output exceeds the operation limit of the power generation facility, and if the determination result exceeds the operation limit, the plurality of power consignment contracts It is determined whether or not the operation restriction can be avoided by changing the combination of the power generation equipment and the load equipment. If the determination result can avoid the operation restriction, the power generation equipment and the load equipment according to the power consignment contract according to the replacement. The rearrangement can be executed for the certain period.
[0018]
The second problem is that, when executing the reclassification, by comparing the revenues related to the plurality of power consignment contracts when the reclassification is performed and when not performing the reclassification, and performing the reclassification when the revenue increases can be solved. In addition, when there are a plurality of rearrangements that can avoid the operation restriction, it is preferable to select the rearrangement with the highest profit. Furthermore, it is preferable to distribute the profit increased by the recombination among a plurality of power generation facilities related to the recombination.
[0019]
The power consignment contract management system according to the present invention can meet the demand of each load facility according to a plurality of sets of power consignment contracts concluded between a plurality of power generation facilities and a plurality of load facilities connected to the power system. A power consignment contract management system for following and controlling the output of the power generation equipment according to the contract, and recording means for collecting and recording demand fluctuation data of each load equipment, and demand fluctuation data of each load equipment Based on the demand forecasting means for forecasting demand in a certain period in the future, output forecasting means for forecasting the output in the certain period of the power generation equipment corresponding to the load facility of the forecasted demand, and the forecasted output A means for determining whether or not the operation limit of the power generation facility is exceeded, and when the determination result exceeds the operation limit, the combination of the power generation facility and the load facility related to the plurality of power consignment contracts is changed. A means for determining whether or not the operation restriction can be avoided, and if the determination result can avoid the operation restriction, a restructuring instruction for the power generation equipment and the load equipment related to the power consignment contract according to the reassignment for the certain period And a recombination means for outputting.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, the present invention will be described based on embodiments. FIG. 1 shows a flowchart of an embodiment of a power consignment management method of the present invention, and FIG. 2 shows an overall configuration diagram of a power consignment system to which the power consignment management system of the present invention is applied.
[0021]
As shown in FIG. 2, a plurality of systems of power generation equipment 10N (N = a to n) are connected to the power system 70 through substation equipment not shown. A plurality of systems of load facilities 60N (N = a to n) are also connected to the power system 70 via substation facilities not shown. The electric power system 70 is a transmission network owned by a so-called electric power company. In the figure, the thick line indicates the flow of power, and the dotted line indicates the flow of information. In addition, the subscripts a to n in the figure indicate that the power generation equipment and the load equipment having the same subscript have a relationship in which a basic contract for power consignment is concluded. Although illustration is omitted, the power system 70 is connected to a power plant of an electric power company and load facilities of other consumers.
[0022]
The electric power generated in the power generation facility 10N is boosted by the substation facility and output to the power system 70. On the other hand, the electric power consumed by the load facility 60N is supplied from the power system 70 by being stepped down by the substation facility. The amount of power supplied from the power generation facility 10N to the power system 70 is measured at the connection point AN (N = a to n) and input to the simultaneous same amount control means 80N (N = a to n). Further, the amount of power output from the power system 70 to the load facility 60N is measured at the connection point BN (N = a to n), and is input to the simultaneous same amount control means 80N via the switch 95. The simultaneous same amount control means 80N compares the input power supply amount at the AN point and the power demand amount at the BN point, and within a limited range within a set time in which the difference between the supply and demand is set. So that the output of the corresponding power generation facility 10N is controlled. In other words, the output of the power generation facility 10N is designed to comply with the same amount of restrictions that the power demand of the load facility 60N that is in a consignment relationship must match within a certain limit.
[0023]
On the other hand, the power consignment management system 100 includes a management control device 101, a database 102, and an input / output device 103, and is formed by a computer. The management control device 101 takes in the time-series data of the demand amount at the connection point BN via the input / output device 103 and stores it in the database 101 as demand fluctuation data. Further, demand fluctuation factor data such as weather conditions and economic trends is taken in via the input / output device 103 and stored in the database 101. In addition, operating state data and characteristic data of the power generation facility 10N are taken in via the input / output device 103 and stored in the database 101 as power generation facility data. Note that data exchanged with the outside can be transmitted and received via the input / output device 103, for example, via a communication network such as the Internet.
[0024]
Next, processing and control procedures in the management control apparatus 101 will be described with reference to FIG. The flowchart of FIG. 1 is activated every predetermined period, captures the demand DN of the load facility 60N at the connection point BN at step S1, and records it in the database 102. Next, in step S2, load facilities in a certain period (i) in the future based on the demand history data stored in the database 102, load fluctuation factor data such as weather conditions and economic trends, and the current demand DN. Predict the demand DNi of 60N. In step S3, the power generation output PNi of the power generation facility 10N corresponding to each load facility 60N is predicted based on the predicted demand Di and the current contract combination. In step S4, it is determined whether or not the predicted power generation output PNi is below the minimum load limit LNi of the load operation limit set for the power generation facility or above the maximum load limit HNi. That is, it is determined whether PNi <LNi or PNi> HNi. If all the determinations are negative (NO), the process ends.
[0025]
When this determination is affirmative (YES), that is, when the load operation restriction is violated, the process proceeds to step S5, and a recombination plan that can replace the combination of the power generation facility and the load facility according to the basic contract is extracted. For example, as shown in FIG. 3 (a), when the predicted demand Dai of the load facility 60a decreases and is predicted to fall below the minimum load limit La of the power generation facility 10a at time T1, the database 102 is searched, The power generation facility having a minimum load limit lower than the predicted demand Dai is searched for. And as shown in (b) of the figure, the minimum load restriction Lb of the power generation facility 10b is lower than the predicted demand Dai, and the demand Dbi for the power generation facility 10b in a certain period (i) is the operation restriction of the power generation facility 10a. When Lai and Hai are satisfied, it is possible to deal with the change of contracts. In this case, the threshold value LNs having a higher margin than the minimum load limit LN is preferably used as a reference. When there is a load such as in-house power other than the load facility 60N corresponding to the power generation facility 10N, the power generation output PNi is predicted in consideration of such loads. In this way, all the plans that can be rearranged are extracted, and if even one set of rearrangement proposals is extracted, it is determined that it is possible to deal with contract rearrangement.
[0026]
If the determination in step S5 is negative, the process ends. That is, there is no corresponding cable that satisfies the same amount related to the contract between the power generation facility 10a and the load facility 60a. In this case, as in the conventional case, the power generation facility 10a is stopped or the operation is continued with the minimum load limit La.
[0027]
On the other hand, when the determination in step S5 is affirmative, the process proceeds to step S6, and the profitability is evaluated for all the rearrangement proposals that can be rearranged. That is, since the power generation efficiency changes according to the change in the power generation output, and the fuel cost changes when the power generation efficiency changes, the power generation cost increases or decreases. There is also the benefit of avoiding the same amount of penalty. Therefore, supply and demand forecasts are executed for each combination of power generation equipment and load equipment after reclassification, and overall profitability is evaluated in consideration of increase / decrease in power generation costs, the same amount of penalty that can be avoided, and other revenues.
[0028]
Next, in step S7, based on the evaluation in step S6, it is determined whether or not there is a recombination plan that improves profitability. If there is a rearrangement plan that improves profitability, the process proceeds to step S8, and the rearrangement plan with the highest profitability is selected. Then, a switching command is output to the switching device 95 via the input / output device 103 based on the combination according to the rearrangement plan selected in accordance with the timing of the certain period (i). Thereby, for example, the demand Db measured at the connection point Bb of the load facility 60b is input to the simultaneous equal amount control means 80a of the power generation facility 10a, and the simultaneous equal amount control means 80b of the power generation facility 10b is input to the load facility 60a. The demand Da measured at the connection point Ba is input, and the power consignment contract is rearranged.
[0029]
As a result, the power generation facility 10a can avoid the stop or the minimum load operation, and the power generation facility 10b can follow the load reduction of the load facility 60a and perform the operation satisfying the same amount of constraints simultaneously.
[0030]
In addition, the management control device 101 executes the subroutine S20 and collects performance data related to profits such as the supply and demand relationship of the power generation equipment and the load equipment related to the rearrangement in the fixed period (i) in which the rearrangement is performed, the power generation amount, and the like. Then, the clearing process is executed according to a predetermined clearing rule.
[0031]
Next, effects of the embodiment configured as described above will be described. For comparison, the conventional power consignment management will be described. In the case where there is no switching device 95 in FIG. 2, for example, the power generation facility 10a and the load facility 60a, and the power generation facility 10b and the load facility 60b must simultaneously control the same amount. That is, the simultaneous equal amount control means 80a compares the electric energy of the connection point Aa and the connection point Ba, and adjusts the output of the power generation equipment 10a so that they become the same amount. Moreover, the simultaneous equal amount control means 80b compares the electric energy of the connection point Ab and the connection point Bb, and adjusts the output of the electric power generation equipment 10b so that they may become the same amount.
[0032]
In such a control, as shown in FIG. 4, the demand Da of the load facility 60a may fall below the minimum load limit La of the power generation facility 10a for some reason at time T1. This minimum load limit is set for reasons that, for example, environmental regulations are not observed at an output below this level, or that the stability of combustion cannot be guaranteed in the case of a thermal power generation facility. Accordingly, when the demand Da falls below the minimum load limit La of the power generation facility 10a, (1) the actual operation I for quickly stopping the power generation facility 10a is selected or (2) the power generation facility 10a is held at the minimum load limit La One of the actual operations II will be selected. However, in either case, since the same amount cannot be observed, a penalty is paid according to the supply-demand difference corresponding to the shaded area (a) or (b) in the figure. On the other hand, the minimum load limit Lb of the power generation facility 10b is lower than the demand Da of the load facility 60a, and the demand Db of the load facility 60b is higher than the minimum load limit La of the power generation facility 10a.
[0033]
Basically, a medium- to long-term power sale contract for one year is generally concluded so as not to operate as shown in FIG. However, since the situation on the consumer side often changes during the contract period, there is a case where a low-load operation that was not expected is forced. In such a case, the power generation facility 10a may be able to respond by searching for other short-term power sales destinations. However, it is difficult to find such short-term demand unless a spot market or a store market is established. In addition, even if there is a market, there is no guarantee that the electric power generated with an intermediate load with generally low power generation efficiency will be sold in the short-term market because the unit price is high.
[0034]
The present embodiment solves such a problem. For example, a power generation facility and a load facility related to a power consignment contract for the power generation facility 10a and the load facility 60a, and a power consignment contract for another power generation facility 10b and the load facility 60b. These combinations are based on the premise that they can be arbitrarily exchanged during the contract period.
[0035]
That is, in the present embodiment, in a normal time when there is no problem in the operation of the power generation facilities 10a and 10b, the switching device 95 connects the connection points Ba and Bb related to the load facility of the basic contract to the simultaneous and equal amount control means 80a and 80b. The demands Da and Db are input. On the other hand, when the demand Da of the load facility 60a falls below the minimum load limit La of the power generation facility 10a as after time T1 in FIG. 3, the switch 95 is connected to the connection point Ba by a command from the management control means 101. The measured value is transferred to the simultaneous and same amount control means 80b, and the measured value at the connection point Bb is transferred to the simultaneous and same amount control means 80a.
[0036]
Actually, when the contract is changed after the time T1 when the demand of the load facility 60a falls below the minimum output limit La of the power generation facility 10a, the automatically operated power generation facility 10a is stopped or the minimum load holding state is maintained. You will have to choose either. Therefore, in the present embodiment, as described above, the determination is made based on the demand prediction, and the power sale contract is exchanged before the minimum output limit La is exceeded. That is, as shown in FIG. 3, the threshold value Ls is provided near the minimum load limit La, and the contract is rearranged when the predicted demand Dai of the load facility 60a falls below the threshold value Ls. I am doing so.
[0037]
As a result, the output Pa of the power generation facility 10a changes according to the demand Db of the higher load facility 60b, so that the operation can be continued without falling below the minimum load limit La. On the other hand, the power generation facility 10b can continue normal operation because there is a margin up to the minimum load limit Lb even for the demand Da of the load facility 60a.
[0038]
By reclassifying the contract in this way, it is possible to avoid a loss due to the stop of the power generation facility 10a or the minimum load holding operation. For example, as compared with the case where the vehicle is stopped, the profit from power generation corresponding to the shaded areas (b) and (c) in FIG. 3 is increased. On the other hand, since the power generation facility 10b has to reduce the output for the region (c), a loss corresponding to the power generation amount (c) occurs. Therefore, when executing the contract reclassification, a corresponding price must be paid from the power generation facility 10a to the power generation facility 10b. The price must be at least an amount that can guarantee profit when the power generation facility 10b can continue operation as shown in FIG. Here, the power generation efficiency of the power generation facility is generally a function of the output, and the higher the output, the lower the output. Therefore, it is necessary to consider this non-linearity of power generation efficiency in the above-mentioned calculation of loss and profit.
[0039]
Here, the clearing process of the value accompanying the contract exchange performed in the subroutine S20 of FIG. 1 will be described. Consideration for the reclassification of the contract is the prepaid settlement method that pays a certain amount at the time the combination is exchanged for the contract and the balance that is estimated when the actual balance during the reclassification operation is accumulated over a period of time and the reclassification is not performed. It is possible to consider a post-clearing method in which the profit is calculated in comparison with that and the liquidation is performed based on the profit. Consideration in the latter post-clearing method can be calculated by a relatively simple method. This can be done by adding the premium of the reclassification itself to the power generation facilities whose profits will decline due to the reclassification of the contract, based on the amount that guarantees the decline in earnings. For example, there is a method in which this premium is obtained by multiplying a certain ratio with respect to the profit / loss that should have occurred when the contract is not exchanged.
[0040]
On the other hand, for the calculation of the value in the former pre-clearing method, for example, a method of performing the same calculation as in the post-clearing method in advance based on output prediction can be considered. In addition, since the reclassification can be regarded as an option of financial engineering, the consideration (here, the price of the contract) can be determined in advance based on the option price theory. That is, the power generation facility 10a purchases the right to exchange the receiving contract from the power generation facility 10b when the demand of the consumer 60a falls below the minimum load of the power generation facility 10a using the output of the consumer 60a as a fluctuation factor. This is a call option, and the option premium can be determined based on the option price determination method of the European option.
[0041]
Next, a load facility demand prediction method performed in step S2 of FIG. 1 will be described. In general, several methods are known for predicting fluctuating demands and prices, such as pattern estimation using a neural network and prediction based on statistics such as multiple regression analysis and least square estimation. These are methods for estimating a deterministic pattern. In addition to this, as a probabilistic prediction method, there is a method of modeling demand fluctuating with a stochastic differential equation and obtaining an expected value and variance of demand in the future.
[0042]
In step S2, the predicted demand may be calculated by any prediction method. However, the deterministic prediction method and the probabilistic prediction method handle the results differently. When using a deterministic predicted value, the relationship between the predicted value or the predicted demand curve and the threshold value may be calculated. However, when considering the variance in addition to the probabilistic predicted value, that is, the definite amount, it is necessary to evaluate the relationship between the value obtained by adding or subtracting several times the standard deviation to the predicted value and the set threshold value. There is. In addition, dispersion appears in the overall economic evaluation that takes into account demand dispersion.
[0043]
By the way, in the above-mentioned embodiment, although the case where it was predicted that the power generation facility 10N would fall below the minimum load limit and the case where the power generation facility 10N was predicted to exceed the maximum load limit were described as examples, However, the present invention is not limited to this, and it is possible to expect an improvement in profits by group management of power consignment contracts by managing power consignment by contract reassignment processing under the following conditions.
(1) When a certain power generation facility is brought to an emergency stop
(2) Regardless of operational restrictions, if the overall revenue forecast is implemented and contracts are exchanged, revenue is expected to improve
In addition, if the output fluctuation of the power generation facility is large, there may be a case where the restriction of the same amount cannot be obeyed depending on the combination after the contract change. Therefore, by considering that the output difference between power generation facilities that implement contract reclassification is within a certain range as a condition for establishing simultaneous same-quantity control switching based on contract recombination, it is easy to follow the restrictions on the same amount. Become.
(Modification)
The power generation facility 10N is not limited to the case where the power generation facility 10N is composed of one system of power generation devices, and can also be applied to a case where a plurality of power generation devices arranged in parallel are provided. In this case, a plurality of power generators may be handled as one system of power generation equipment.
[0044]
In addition, the power generation facility 10N has a load facility (hereinafter referred to as an internal demand facility) that consumes power inside the power generation facility 10N independently of the power generation facility 10N on the upstream side that sends power to the power system 70 via the substation facility. In this case, it is necessary to predict the internal demand for electricity. Therefore, the demand forecast for the internal demand equipment is performed in the same manner as the demand forecast for the load equipment 60N. As with the load equipment, the demand fluctuation of the internal demand equipment is measured and recorded in the database 101. Then, an internal demand prediction function is added to the management control apparatus 101, and the same calculation as the load demand prediction in step S2 of FIG. 1 is performed. Then, the internal demand is added to the output of the power generation facility 10N, and the processes after step S3 are performed. The internal demand prediction method and the recorded contents are the same as those for the load facility 60N.
[0045]
Further, in the embodiment of FIG. 1, an example has been described in which the contract reassignment process is not executed when the operation restriction is not a problem in step S4 and the power consignment based on the combination at that time is continued. However, even when the driving constraint condition does not become a problem, the management method for improving the profit by reorganizing the contract according to the present invention can be applied. That is, steps S4 and S5 in the flowchart of FIG. 1 are omitted, and the process proceeds directly from step S3 to step S6 to evaluate the profitability of all the rearrangement proposals. As in the case of the first embodiment, the combination having the highest profitability is selected, and a switching command is output to the switch 95 based on the contract reassignment for the prediction period. On the other hand, it goes without saying that the settlement process of the subroutine S20 is performed based on the reassigned contract.
[0046]
【The invention's effect】
As described above, according to the present invention, it is possible to satisfy the restriction of the same amount in the power consignment and improve the profit rate.
[Brief description of the drawings]
FIG. 1 is a flowchart showing a processing procedure of a power consignment management method according to an embodiment of the present invention.
FIG. 2 is an overall configuration diagram of an electric power consignment system to which an electric power consignment management system according to an embodiment of the present invention is applied.
FIG. 3 is a diagram for explaining the effect of the same amount by reordering the contract according to the present invention.
4 is a diagram for explaining a conventional problem due to the restriction of the same amount for comparison with FIG. 3; FIG.
[Explanation of symbols]
10a, 10b, ... 10n Power generation equipment
60a, 60b, ... 60n Load equipment
70 Power system
80a, 80b,... 80n Simultaneous and same amount control means
95 selector
100 Electric power consignment management system
101 database
103 I / O device

Claims (6)

The load facility of the power supply destination of the power generation facility related to one power consignment contract and the load facility of the power supply destination of the power generation facility related to another power consignment contract are rearranged to satisfy the same amount of restrictions related to power consignment A power consignment management method characterized in that Recording demand fluctuations of each load facility related to a plurality of power consignment contracts, forecasting demand in a certain period in the future, forecasting output in the certain period of power generation equipment corresponding to the forecasted demand, It is determined whether the predicted output exceeds the operation limit of the power generation facility. If the determination result exceeds the operation limit, the combination of the power generation facility and the load facility related to the plurality of power consignment contracts is changed. It is determined whether or not the operation restriction can be avoided, and if the determination result can avoid the operation restriction, the power consignment for executing the reconfiguration of the power generation facility and the load facility according to the power consignment contract according to the recombination for the certain period of time. Management method. When the reclassification is executed, the revenues related to the plurality of power consignment contracts when the reclassification is executed and not executed are compared, and the reclassification is executed when the revenue increases. 2. The power consignment management method according to 2. The power transfer management method according to claim 3, wherein when there are a plurality of rearrangements that can avoid the operation restriction, the rearrangement having the highest profit is selected. The power consignment management method according to claim 3 or 4, wherein the profit increased by the reclassification is distributed among a plurality of power generation facilities related to the reclassification. According to a plurality of sets of power consignment contracts concluded between a plurality of power generation facilities connected to the power system and a plurality of load facilities, the output of the power generation facilities according to the contract is tracked and controlled according to the demand of each load facility. A management system for power consignment contracts,
Recording means for collecting and recording demand fluctuation data of each load facility;
Demand forecasting means for forecasting demand in a certain period in the future based on demand fluctuation data of each load facility;
Output predicting means for predicting the output of the power generation equipment corresponding to the predicted load equipment of the demand in the predetermined period;
Means for determining whether the predicted output exceeds an operation limit of the power generation facility;
Means for determining whether or not the operation restriction can be avoided by changing the combination of the power generation equipment and the load equipment related to the plurality of power consignment contracts when the determination result exceeds the operation restriction;
A power consignment management system comprising: a power generation facility related to the power consignment contract according to the recombination and a recombination means for outputting a load facility recombination command for the predetermined period when the determination result can avoid the operation restriction.

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