JP7802599B2 - Self-consignment management system - Google Patents

Description

The present invention relates to a self-consignment management system that consigns self-generated electricity.

Patent Document 1 describes a self-consignment system. As an example of self-consignment, Patent Document 1 describes a power transmission service provided by a general electric utility that allows companies to supply electricity they generate themselves at factories or other locations to their own remote business premises using the power company's transmission and distribution network.

Japanese Patent Application Laid-Open No. 2020-58141

However, the system does not permit switching between self-dispatch and selling electricity, or doing both at the same time. For example, Article 2, Paragraph 1, Item 14 (c) of the Electricity Business Act sets out the scope of those who can use self-dispatch. Furthermore, there are cases where a specific supply license must be obtained based on Article 17, Paragraph 1 of the Electricity Business Act.

On the other hand, as described in Patent Document 1, although the current social situation encourages the use of self-consignment in order to promote the use of renewable energy, if a large amount of surplus electricity is generated by self-generated solar power, the surplus electricity may remain even if self-consignment is used.

On the other hand, if this system is relaxed and solar power generation systems installed for the purpose of selling electricity can be used for self-dispatch, there will be a need to process that electricity economically.

To solve the above-mentioned problems, the present invention aims to provide a self-consignment management system that can appropriately determine whether to self-consign or sell self-generated electricity.

The self-consignment management system of the present invention includes an acquisition unit that acquires source power generation data related to the amount of power that can be generated at a self-power generation facility and external information that affects the amount of power that can be self-consigned from the self-power generation facility; a prediction unit that predicts the amount of power consumed at the facility to which the self-consignment is to be made; a prediction unit that predicts the amount of power that can be self-consigned in the future based on the source power generation data; and a decision unit that determines self-consignment execution processing, indicating whether or not to implement self-consignment and power sale, based on the amount of power consumed at the destination and the amount of power that can be self-consigned.

This invention makes it possible to appropriately determine whether to self-consign or sell the electricity generated by self-generation.

1 is a diagram showing a system configuration including an energy management system 100 according to the present disclosure. FIG. 2 is a block diagram showing the functional configuration of the energy management system 100. 3 is a flowchart showing the operation of the energy management system 100. FIG. 10 is a diagram showing an outline of calculations for self-consignment and electricity selling. FIG. 10 is a diagram showing a self-transfer and power sale plan. 10 is a flowchart showing the operation of the consignment management server 500. FIG. 5 is a diagram showing a specific example of a management table 501. FIG. 10 is a diagram showing a self-wheeling and power selling plan in a modified example. 1 is a diagram illustrating an example of a hardware configuration of an energy management system 100 according to an embodiment of the present disclosure.

Embodiments of the present disclosure will be described with reference to the accompanying drawings. Where possible, identical parts will be designated by the same reference numerals, and duplicate descriptions will be omitted.

Figure 1 shows a system configuration including the energy management system 100 of this disclosure.

The energy management system 100 corresponds to a self-consignment management system and is a server device that manages the electricity self-generated by solar power generation at the power facility 300.

The electricity rate server 200 is a server that stores electricity rates, including the selling price, buying price, and self-transportation fee for electricity.

Power facility 300 is a facility that generates electricity through solar power generation. Power facility 300 has a solar power generation function, a power transmission function, and a communication function. The communication function acquires the amount of electricity generated by the solar power generation function and transmits it to energy management system 100. In this disclosure, power facility 300 is a base station for mobile phone communications scattered throughout the country, and these base stations operate using commercial power and solar power. In this disclosure, surplus electricity generated by solar power generation can be self-consignment or sold via transmission line L via power transmission and distribution facility 300b.

The prediction management server 400 is a server that stores information for predicting weather information and traffic information. Because the power facility 300 generates electricity through solar power generation, power generation is affected by weather information, including sunshine information. The energy management system 100 uses weather information to predict the power generated by the power facility for the next day. Similarly, the prediction management server 400 may also manage traffic information for the base station, which is the power facility 300. This allows the energy management system 100 to predict traffic information for the future, such as the next day, and predict its power consumption.

The transmission management server 500 is a server located in the related institution 500a and has a management table 501. The related institution 500a is, for example, the Agency for Cross-regional Coordination of Transmission Operators. This institution has a supply and demand adjustment function. The transmission management server 500 receives a transmission plan from the energy management system 100 and, based on that, processes billing for the electricity used at the self-transfer destination facility 300a.

Next, we will explain the configuration of the energy management system 100, which corresponds to a self-consignment management system. Figure 2 is a block diagram showing the functional configuration of the energy management system 100. This energy management system 100 includes a power data receiving unit 101, a forecast data receiving unit 102, an electricity rate information receiving unit 103, a power information processing unit 104, a power amount forecasting unit 105, a plan determination unit 106, and a plan transmission unit 107.

The power data receiving unit 101 is a part that receives power data indicating the power generated from the power facility 300.

The forecast data receiving unit 102 is a part that receives forecast data such as weather information and/or traffic information for base stations (communication devices installed in the power facility 300) from the forecast management server 400. This weather information and traffic information includes information for the present and future (e.g., the next day). Future information is, for example, information about the time of self-consignment or the time of power sales. This disclosure will be described assuming that a decision on whether to self-consignment or power sales will be made the next day, but is not limited to this.

The electricity rate information receiving unit 103 is the part that receives electricity rate information from the electricity rate server 200.

The power information processing unit 104 aggregates power data, forecast data, and electricity rate information.

The power amount prediction unit 105 uses power data, prediction data, and electricity rate information to predict the power generation and power consumption of solar power generation at the power facility 300, as well as the power generation and power consumption at the self-consignment facility 300a. The prediction method uses known methods. For example, the power consumption at the power facility 300 and the self-consignment facility 300a is determined from past history (e.g., traffic volume), and may be, for example, the average value for the past week or the average for the same day of the week for the past month. Similarly, the power generation amount may be determined from past history, or a prediction may be made taking into account the weather (hours of sunshine) predicted from a weather forecast, taking into account solar power generation.

The plan determination unit 106 determines whether to self-consign or sell electricity based on the power generation and power consumption at the power facility 300 (self-consignment source) and the self-consignment destination facility 300a. The plan includes the consignment schedule, the power generation source (facility ID), the self-consignment destination (facility ID), and the amount of electricity to be self-consigned.

The plan transmission unit 107 is the part that transmits the plan to the consignment management server 500.

The operation of the energy management system 100 configured in this manner will now be described. Figure 3 is a flowchart showing the operation of the energy management system 100.

The forecast data receiving unit 102 receives forecast data correlated with power (S101). The power data receiving unit 101 receives power data on power generated at the power facility 300 (S102). The electricity rate information receiving unit 103 receives electricity rate data (S103). These reception processes may be performed simultaneously. Furthermore, the order is not limited to the above.

The power information processing unit 104 aggregates this power data, forecast data, and electricity rate data. The power amount prediction unit 105 then predicts the power generation and power consumption at the power facility 300 and the power generation and power consumption (demand prediction) at the self-consignment destination facility 300a using the forecast data correlated with power and the power data of the power facility 300 (S104).

More specifically, the power amount prediction unit 105 predicts the amount of power W1 to be generated by solar power generation on the following day based on weather information (prediction data) for the power facility 300. The power amount prediction unit 105 also predicts the amount of power W2 to be consumed by the power facility 300 on the following day based on traffic information for the power facility 300.

The power amount prediction unit 105 also predicts the amount of power generated W3 and the amount of power consumed W4 by solar power generation at the predetermined self-consignment facility 300a. These predict the amount of power generated W3 and the amount of power consumed W4 for the next day, respectively. Note that the power facility 300 and the self-consignment facility 300a are facilities with the same equipment, and have solar power generation and communication functions.

Next, the plan determination unit 106 determines whether to perform self-consignment or power sales at the power facility 300 when the amount of power generated by solar power generation W1 is greater than the amount of power consumption W2. If the amount of power W1 < the amount of power consumption W2, neither self-consignment nor power sales can be implemented, and therefore the process of selecting between self-consignment and power sales is not performed.

Then, if the amount of generated power W1 is greater than the amount of consumed power W2, the plan determination unit 106 calculates the costs of implementing self-consignment and selling power from the predicted generated power and consumed power in order to select self-consignment or selling power (S105). The costs here indicate the power purchasing costs at the self-consignment destination facility 300a.

The plan determination unit 106 first calculates the amount of self-transferable power W5 = generated power W1 - consumed power W2 to determine the amount of self-transferable power. Hereinafter, unless otherwise specified, consumed power W4 > self-transferable power W5, and all self-transferable power is self-transferred, resulting in self-transferable power W5. Note that there may be no consumed power W2 (no power consumption at the power facility 300), in which case the generated power W1 may be used as the self-transferable power.

Then, the plan determination unit 106 calculates the purchase cost of the self-consignment destination facility 300a during self-consignment using the following formula. This formula is based on the purchase cost of the electricity shortage. Figure 4 shows an overview of the calculation for self-consignment and electricity sales.

Cost A for self-consignment = (power consumption at the self-consignment destination when self-consignment is not performed (power consumption W4) - power amount self-consignment (self-consignment power amount W5) * electricity price at the time of purchase + self-consignment cost ... (1)
The self-transmission fee corresponds to the amount of transmission line usage when self-transmission is performed. Generally, the transmission fee is set per unit of power, but it may also be set as a fixed amount. In the above, it is set as a fixed amount for the sake of convenience, but it may also be a fee according to the cost of self-transmission.

In addition, the plan determination unit 106 calculates the purchase cost of the self-consignment destination facility 300a when selling electricity using the following formula:

Sales profit B1 = Amount of electricity sold (Amount of generated electricity W1) * Electricity rate at time of sale ... (2)
Cost B2 = power consumption of the self-consignment destination (power consumption W4) * unit price at time of purchase ... (3)
Purchase cost of self-consignment destination B = B2 - B1 ... (4)
The sold power may be calculated as generated power W1 minus consumed power W2.

Then, the plan determination unit 106 determines whether to perform self-consignment or sell electricity based on the purchase cost A for self-consignment at the self-consignment destination facility 300a and the purchase cost B for selling electricity, and formulates a plan (S108). Note that here, B2 > B1.

For example, if purchase cost A > purchase cost B, the plan determination unit 106 formulates a plan to sell electricity. Also, if purchase cost A < purchase cost B, the plan determination unit 106 formulates a plan to carry out self-consignment. Note that if purchase cost A = purchase cost B, whether to carry out self-consignment or sell electricity may be set in advance, or may be determined based on other factors.

In the present disclosure, as shown in FIG. 5, the plan determination unit 106 determines, for each power generation source (facility ID) that is the power facility 300, the date of self-dispatch or power sale, the plan (self-dispatch or power sale), and if self-dispatch, the self-dispatch destination and the amount of power to be self-dispatch or power sale as a plan.

Figure 5(a) shows the plan contents when self-dispatch is performed, and Figure 5(b) shows the plan contents when electricity is sold. When selling electricity, there is no description of the self-dispatch destination. According to these figures, the plan includes the generator that supplies the electricity, the date (scheduled date) of self-dispatch/electricity sale, a plan indicating whether self-dispatch or electricity sale will be performed, the dispatch destination in the case of self-dispatch, and the amount of electricity to be dispatched or sold.

Next, the operation of the consignment management server 500 will be described. Figure 6 is a flowchart showing the operation of the consignment management server 500. In the consignment management server 500, its plan receiving unit (not shown) receives the plan from the energy management system 100 (S201). Then, its control unit (not shown) registers the plan in the management table 501 (S202). That is, the control unit obtains the power consumption (predicted value) at the self-consignment destination and registers the information in Figure 7 (a) in the management table 501. The power consumption (predicted value) at the self-consignment destination may be predicted by the consignment management server 500 as described above, or may be obtained from the energy management system 100.

Then, the plan receiving unit receives the plan contents shown in Figure 5 and extracts a data string (Figure 7(a)) in which the ID indicated in the self-consignment destination (e.g., 1001 in Figure 5) is the billing recipient. The control unit then registers the amount of electricity to be consigned and sold indicated in the plan contents obtained in Figure 5 as the amount of electricity to be consigned (Figure 7(b)).

The control unit then calculates the amount of power to be billed by subtracting the amount of power to be wheeled from the amount of power used. The control unit performs billing processing using the calculated amount of power to be billed (S203). Billing processing is performed by the wheeling management server 500 to the electric power company. Specifically, this billing data is sent to the electric power company's server. The electric power company performs billing processing based on the amount of power to be wheeled and sold, respectively, for self-wheeling and power sale, as specified in the plan type.

In the case of self-consignment, billing is performed taking into account self-consignment costs. For example, when billing a company with self-consignment destination 1001 and power generation source 0001, the amount of electricity consigned and sold is subtracted from the electricity used at the self-consignment destination, and then the self-consignment costs are added. In the case of electricity sales, when billing the company of power generation source 0001, the amount of electricity sold is multiplied by the selling price (so-called negative billing) and billed.

In this disclosure, the power generation source and the self-consignment destination are the same corporation or company. Therefore, the profits of the self-consignment destination can be considered to be the same as the profits of the power generation source.

In the above explanation, it is assumed that the self-consignment destination's power consumption W4 > self-consignment capacity W5 (self-consignable power), but there are also cases where power consumption W4 < self-consignable power W5. Here, we will explain such cases. In process S106 in Figure 3, the plan was formulated to determine whether to consign or sell the power, but this is not limited to this. For example, if power consumption W4 < self-consignable power W5, the power facility 300 may consign itself to the self-consignment destination facility 300a and sell the surplus power. In this case, by comparing the cost of self-consignment with the cost of selling the power, if it is determined that selling the power is more cost-effective, the power facility may sell the power without consigning itself.

For example, the plan determination unit 106 calculates the power shortage W6 at the self-consignment destination facility 300a by calculating the power shortage W6 at the self-consignment destination facility = power generation W3 - power consumption W4. Note that in the above example, the power consumption W4 is assumed to be greater than the power generation W3, and therefore to be insufficient.

Then, the power amount prediction unit 105 in the energy management system 100 calculates the amount of power sold W7 = the amount of self-consignment power W5 (self-consignable power) + the amount of power shortage W6. Note that, based on the above assumptions, the sign of W6 is negative. In other words, if the power shortage at the self-consignment destination is made up for with the power that can be self-consigned, the surplus power becomes the amount of power sold W7.

The plan determination unit 106 formulates plans for both self-dispatch and power sales. Figure 8 shows the specific plan contents. In the figure, two data strings for power generator (facility ID): 0001 are created, one for self-dispatch and one for power sales. The plan transmission unit 107 transmits these to the transmission management server 500.

The consignment management server 500 performs the billing process as described above.

The plan determination unit 106 may determine whether to sell the surplus electricity after self-consignment, or to sell all of the electricity without self-consignment, based on the electricity purchasing cost at the self-consignment destination facility 300a. In the present disclosure, when cost A > cost B, the plan determination unit 106 determines to sell all of the electricity without self-consignment.

Next, the effects of the self-consignment management system of the present disclosure will be described. In the energy management system 100, which is the self-consignment management system of the present disclosure, the power data receiving unit 101 receives source power generation data (power data of the power facility 300) regarding the amount of power that can be generated at the power facility 300, which is a self-power generating facility. In addition, the forecast data receiving unit 102 receives external information (e.g., weather or traffic information) that affects the amount of power to be self-consigned from the power facility 300 from the forecast management server 400.

Then, the power information processing unit 104 aggregates this data, and the power amount prediction unit 105 predicts the amount of power consumed (destination power consumption) at the self-consignment destination facility 300a. For example, the power consumption of the self-consignment destination facility 300a for the next day is predicted. Note that the self-consignment destination facility 300a may also generate its own power, and in this case, the power consumption (destination power consumption) of the self-consignment destination facility 300a indicates the amount of power that is insufficient.

The power amount prediction unit 105 also predicts the amount of power that can be self-consigned based on the power generation data (supply source power data) of the power facility 300 that supplies the power. For example, it predicts the amount of power that can be self-consigned for the next day.

The plan determination unit 106 determines the self-consignment execution process, which indicates whether to implement self-consignment and power sale, based on the power consumption of the supply destination and the amount of power that can be self-consigned. In the above embodiment, the decision to self-consign or power sale is made based on the purchase cost of the self-consignment destination, but this does not necessarily have to be included. Forecast data, etc. may be taken into consideration, and if there is power that can be self-consigned, self-consignment may be performed, and if not, self-consignment may not be performed. Furthermore, if there is surplus power left over after self-consignment, a decision may be made to sell it.

In this disclosure, self-consignment execution processing includes the implementation of at least one of self-consignment and electricity sales, or the non-implementation of either.

This configuration allows the system to appropriately decide whether to self-consign or sell electricity generated by self-generation, such as solar power generation, ensuring that electricity is used without waste.

For example, suppose there are two geographically separated power facilities 300 and a self-consignment facility 300a, and the solar power generation system installed at one of the power facilities 300 generates a large amount of surplus power that cannot be consumed by both facilities. In this case, even if the surplus power is consigned through self-consignment, the surplus power that cannot be used cannot be sold and is wasted. In this disclosure, by predicting the power generation and power consumption, it is possible to determine whether to consign or sell the power, and the power generated by self-generation can be used without waste.

Note that although this disclosure describes the power facility 300 using the self-generated power for its own use, it does not necessarily have to use it for its own use.

Also, as will be explained later, depending on the self-consignment usage fee, selling electricity is likely to be more cost-effective. In such cases, selling electricity will be selected. Conversely, if self-consignment can reduce costs, self-consignment will be selected.

In other words, the energy management system 100 of the present disclosure may have an electricity rate information receiving unit 103 as an acquisition unit, and acquire electricity rate information for self-consignment, electricity sales, and electricity purchases. The plan determination unit 106 then further uses the electricity rate information to calculate the profit for self-consignment and the profit for electricity sales, and determines the self-consignment execution process based on these profits.

Note that the above profits may also be interpreted as costs, which in this disclosure correspond to the cost of purchasing electricity at the self-consignment destination facility 300a.

The profit from the self-consignment is calculated based on the cost of purchasing the power shortage at the self-consignment destination facility 300a, calculated by subtracting the self-consignment power amount W5 from the power shortage amount W6 based on the power consumption amount W4. The plan determination unit 106 determines whether to execute the self-consignment process by comparing the purchase cost with the profit gained from selling the power.

In this disclosure, the profit earned from selling electricity refers to the cost at the self-consignment facility 300a. In other words, it is the amount obtained by subtracting the sales profit (the above-mentioned sales profit B1) from the purchase cost of purchasing the shortage of electricity at the self-consignment facility 300a.

The planning decision unit 106 decides to self-consign when the profit from self-consignment is greater than the profit from selling the electricity, and decides to sell the electricity when the profit from selling the electricity is greater than the profit from self-consignment.

In other words, in this disclosure, profit is synonymous with the purchase cost at the self-consignment facility 300a. The profit from self-consignment is based on the purchase cost of the power shortage at the self-consignment facility 300a at that time, and the profit from selling electricity is based on the amount obtained by subtracting the sales profit from the purchase cost of the power shortage at the self-consignment facility 300a.

This configuration allows plans to be formulated to comprehensively reduce electricity costs based on profits from self-consignment and profits from selling electricity.

The plan determination unit 106 in the energy management system 100 of the present disclosure determines to sell the surplus electricity obtained by subtracting the power consumed by the power facility 300 and the power self-transported from the self-generated electricity.

This configuration allows surplus electricity to be used without waste, which is effective in terms of electricity costs.

When the profit from selling electricity is greater than the profit from self-consignment, the plan determination unit 106 decides to sell electricity without self-consignment.

With this configuration, if selling electricity is more advantageous in terms of electricity costs, i.e., if selling electricity results in higher profits, it is better to sell electricity without self-consignment.

In the energy management system 100 of the present disclosure, the plan determination unit 106 generates a plan indicating whether or not to implement at least one of the determined self-dispatch and power sale. The plan transmission unit 107 then transmits the plan to the dispatch management server 500, which is a management server that manages self-dispatch and power sale.

This transmission management server 500 works in conjunction with the power company's billing server to process billing for the electricity used by users (corporations, etc.) of the power facility 300.

The external information used by the energy management system 100 of the present disclosure is predicted information on the power consumption at the power facility 300 (self-power generation facility) when self-consignment or selling power is in progress. For example, power consumption fluctuates depending on the traffic of the base station, so power consumption is predicted based on the traffic prediction.

The power facility 300 also has the ability to generate solar power. By using the weather at the location where the power facility 300 is installed as external information, it is possible to predict the power generation capacity of the power facility 300.

The energy management system 100, which is the self-consignment management system of the present disclosure, can be expressed as follows:

[1]
an acquisition unit that acquires supplier power generation data relating to the amount of power that can be generated at a self-power generation facility and external information that affects the amount of power that is self-consignment from the self-power generation facility;
a prediction unit that predicts the amount of power consumption at a supply destination in a facility that is a self-consignment destination;
A prediction unit that predicts a future amount of power that can be self-transported from the supplier power generation data;
A determination unit that determines a self-consignment execution process that indicates whether or not to perform self-consignment and power sale based on the power consumption amount of the supply destination and the amount of power that can be self-consigned;
A self-consignment management system.

[2]
The self-transportation execution processing includes the implementation or non-implementation of at least one of self-transportation or power selling,
The self-consignment management system described in [1].

[3]
The acquisition unit acquires electricity rate information for self-consignment, electricity selling, and electricity purchase,
The determination unit further calculates a profit when self-consignment is performed and a profit when selling electricity using the electricity rate information, and determines a self-consignment execution process based on the calculated profit.
The self-consignment management system according to [1] or [2].

[4]
The profit when the self-consignment is performed is calculated based on the cost of purchasing the shortage power based on the power consumption at the self-consignment destination,
The determination unit determines the self-transportation execution process by comparing the cost with the profit obtained by selling the electricity.
The self-consignment management system described in [3].

[5]
the determination unit determines to perform self-consignment when the profit from self-consignment is greater than the profit from selling the electricity, and determines to sell the electricity when the profit from selling the electricity is greater than the profit from self-consignment.
The self-consignment management system according to [3] or [4].

[6]
The determination unit determines to sell surplus power obtained by subtracting power consumption and power self-transported from power self-generated,
The self-consignment management system according to [3] or [4].

[7]
the decision unit decides to sell the self-generated electricity without self-consignment when a profit when selling the self-generated electricity is greater than a profit when consigning the electricity.
[6] The self-consignment management system described in [6].

[8]
a generation unit that generates a plan indicating whether or not to perform at least one of self-wheeling or power selling determined by the determination unit;
A transmission unit that transmits the plan to a management server that manages self-transmission or power selling,
Further preparations
[1] to [7] The self-consignment management system according to any one of the claims.

[9]
The external information is prediction information of power consumption at a self-power generation facility at the time of self-consignment or power sale,
[1] to [8]. The self-consignment management system according to any one of [1] to [8].

[10]
The self-power generation facility generates solar power,
The external information is weather at a location where the self-power generation facility is installed.
The self-consignment management system according to any one of [1] to [9].

The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of hardware and/or software. Furthermore, there are no particular limitations on how each functional block is realized. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are connected directly or indirectly (e.g., using wires, wirelessly, etc.) and these multiple devices. A functional block may also be realized by combining software with the single device or multiple devices.

Functions include, but are not limited to, judgment, determination, assessment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, regard, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission functions is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

For example, the energy management system 100 according to an embodiment of the present disclosure may function as a computer that performs processing of the energy management method of the present disclosure. Figure 9 is a diagram showing an example of the hardware configuration of the energy management system 100 according to an embodiment of the present disclosure. The above-described energy management system 100 may be physically configured as a computer device including a processor 1001, memory 1002, storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

In the following description, the term "apparatus" can be interpreted as a circuit, device, unit, etc. The hardware configuration of the energy management system 100 may be configured to include one or more of the apparatuses shown in the figure, or may be configured to exclude some of the apparatuses.

Each function in the energy management system 100 is realized by loading specific software (programs) onto hardware such as the processor 1001 and memory 1002, causing the processor 1001 to perform calculations, control communications via the communication device 1004, and control at least one of reading and writing data from and to the memory 1002 and storage 1003.

The processor 1001, for example, runs an operating system to control the entire computer. The processor 1001 may be configured as a central processing unit (CPU) that includes an interface with peripheral devices, a control device, an arithmetic unit, registers, etc. For example, the above-mentioned power information processing unit 104, power amount prediction unit 105, plan determination unit 106, etc. may be realized by the processor 1001.

The processor 1001 also reads programs (program code), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. For example, the power consumption prediction unit 105 may be implemented by a control program stored in the memory 1002 and running on the processor 1001, and similar implementations may be made for other functional blocks. While the above-described various processes have been described as being executed by a single processor 1001, they may also be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented on one or more chips. The programs may also be transmitted from a network via telecommunications lines.

Memory 1002 is a computer-readable recording medium and may be composed of, for example, at least one of ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), etc. Memory 1002 may also be called a register, cache, main memory (primary storage device), etc. Memory 1002 can store executable programs (program code), software modules, etc. for implementing an energy management method according to one embodiment of the present disclosure.

Storage 1003 is a computer-readable recording medium, and may be composed of at least one of an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray® disk), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy disk, a magnetic strip, etc. Storage 1003 may also be referred to as an auxiliary storage device. The above-mentioned storage medium may be, for example, a database, a server, or other suitable medium that includes at least one of memory 1002 and storage 1003.

The communication device 1004 is hardware (transmission/reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as a network device, network controller, network card, or communication module. The communication device 1004 may be configured to include a high-frequency switch, duplexer, filter, frequency synthesizer, etc. to implement at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, the above-mentioned power data receiving unit 101, forecast data receiving unit 102, electricity rate information receiving unit 103, and plan transmitting unit 107 may be implemented by the communication device 1004. The communication device 1004 may be implemented with the transmitting unit and receiving unit physically or logically separated.

The input device 1005 is an input device (e.g., a keyboard, mouse, microphone, switch, button, sensor, etc.) that accepts input from the outside. The output device 1006 is an output device (e.g., a display, speaker, LED lamp, etc.) that outputs to the outside. Note that the input device 1005 and the output device 1006 may be integrated into one device (e.g., a touch panel).

Furthermore, each device, such as the processor 1001 and memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

The energy management system 100 may also be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a field-programmable gate array (FPGA), and some or all of the functional blocks may be realized by this hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

The notification of information is not limited to the aspects/embodiments described in the present disclosure and may be performed using other methods. For example, the notification of information may be performed using physical layer signaling (e.g., Downlink Control Information (DCI), Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information (Master Information Block (MIB), System Information Block (SIB))), other signals, or a combination of these. Furthermore, RRC signaling may be referred to as an RRC message, such as an RRC Connection Setup message or an RRC Connection Reconfiguration message.

The order of the procedures, sequences, flowcharts, etc. of each aspect/embodiment described in this disclosure may be changed unless inconsistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

Input and output information may be stored in a specific location (e.g., memory) or managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be sent to another device.

The determination may be made based on a value represented by a single bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

Each aspect/embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, notification of specified information (e.g., notification that "X is true") is not limited to being done explicitly, but may also be done implicitly (e.g., not notifying the specified information).

Although the present disclosure has been described in detail above, it will be clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the present disclosure, which are defined by the claims. Therefore, the description of the present disclosure is intended for illustrative purposes only and does not have any limiting meaning on the present disclosure.

Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

Software, instructions, information, etc. may also be transmitted or received via a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, or Digital Subscriber Line (DSL)) and/or wireless technologies (such as infrared or microwave), these wired and/or wireless technologies are included within the definition of transmission media.

The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

Note that terms explained in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Furthermore, a signal may be a message. Furthermore, a component carrier (CC) may be called a carrier frequency, a cell, a frequency carrier, etc.

Furthermore, the information, parameters, etc. described in this disclosure may be expressed using absolute values, relative values from a predetermined value, or other corresponding information. For example, radio resources may be indicated by an index.

The names used for the parameters described above are not intended to be limiting in any way. Furthermore, the mathematical formulas using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (e.g., PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

In this disclosure, terms such as "Mobile Station (MS)," "user terminal," "User Equipment (UE)," and "terminal" may be used interchangeably.

A mobile station may also be referred to by those skilled in the art as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable terminology.

As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching a table, database, or other data structure), and ascertaining something that is considered a "determination." Also, "determining" and "determining" may include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and other actions that are considered a "determination." Furthermore, "judgment" and "decision" can include regarding actions such as resolving, selecting, choosing, establishing, and comparing as having been "judgment" or "decision." In other words, "judgment" and "decision" can include regarding some action as having been "judgment" or "decision." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and/or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

In this disclosure, where articles are added by translation, such as a, an, and the in English, this disclosure may include the noun following these articles being plural.

In this disclosure, the term "A and B are different" may mean "A and B are different from each other." It should be noted that the term may also mean "A and B are each different from C." Terms such as "separate" and "combined" may also be interpreted in the same way as "different."

100...Energy management system, 101...Power data receiving unit, 102...Prediction data receiving unit, 103...Electricity rate information receiving unit, 104...Power information processing unit, 105...Electricity amount prediction unit, 106...Plan determination unit, 107...Plan transmission unit, 200...Electricity rate server, 300...Electric power facility, 300a...Self-consignment destination facility, 300b...Electricity transmission and distribution facility, 400...Prediction management server, 500...Consignment management server, 500a...Related institution, 501...Management table.

Claims (9)

an acquisition unit that acquires source power generation data regarding the amount of power that can be generated in the self-power generation facility;
a first prediction unit that predicts a supply destination power consumption amount at a facility that is a self-consignment destination;
A second prediction unit that predicts a future amount of power that can be self-transported from the supplier power generation data;
A determination unit that determines a self-consignment execution process that indicates whether or not to perform self-consignment and power sale based on the power consumption amount of the supply destination and the amount of power that can be self-consigned;
Equipped with
The acquisition unit acquires electricity rate information for self-consignment, electricity selling, and electricity purchase,
The determination unit further calculates a profit when self-consignment is performed and a profit when selling electricity using the electricity rate information, and determines a self-consignment execution process based on the calculated profit.
Self-consignment management system. The self-transportation execution processing includes the implementation or non-implementation of at least one of self-transportation or power selling,
The self-consignment management system according to claim 1. The profit when the self-consignment is performed is calculated based on the cost of purchasing the shortage power based on the power consumption at the self-consignment destination,
The determination unit determines the self-transportation execution process by comparing the cost with the profit obtained by selling the electricity.
The self-consignment management system according to claim 1 . the determination unit determines to perform self-consignment when the profit from self-consignment is greater than the profit from selling the electricity, and determines to sell the electricity when the profit from selling the electricity is greater than the profit from self-consignment.
The self-consignment management system according to claim 1 . The determination unit determines to sell surplus power obtained by subtracting power consumption and power self-transported from power self-generated,
The self-consignment management system according to claim 1 . the decision unit decides to sell the self-generated electricity without self-consignment when a profit when selling the self-generated electricity is greater than a profit when consigning the electricity.
The self-consignment management system according to claim 5 . a generation unit that generates a plan indicating whether or not to perform at least one of self-wheeling or power selling determined by the determination unit;
A transmission unit that transmits the plan to a management server that manages self-transmission or power selling,
Further preparations
The self-consignment management system according to claim 1 . The acquisition unit
Furthermore, external information that affects the amount of power self-consignment from the self-power generation facility is acquired,
The external information is prediction information of power consumption at a self-power generation facility at the time of self-consignment or power sale,
The self-consignment management system according to claim 1 . The self-power generation facility generates solar power,
The external information is weather at a location where the self-power generation facility is installed.
The self-consignment management system according to claim 8 .