JP7701256B2 - System and method for adjusting supply and demand of renewable energy among multiple consumers - Google Patents

Description

The present invention relates to the adjustment of supply and demand of renewable energy among multiple consumers.

The use of renewable energy is increasing as a measure against climate change. Traditionally, the most common method of procuring renewable energy was to purchase certificates such as non-fossil fuel certificates. However, in recent years, aiming to increase the amount of renewable energy in circulation, there has been an increase in cases where renewable energy is purchased directly from power generation companies through Power Purchase Agreements (PPAs) and other arrangements, and environmental value is obtained through the transfer of certificates that accompany the purchase.

This trend is also seen among large electricity consumers, and data centers (DCs), which are large electricity consumers, are increasingly procuring electricity through PPAs, mainly in Europe and the United States. Furthermore, advanced businesses in Europe and the United States are aiming to increase the renewable energy utilization rate throughout society in the future, and are working to increase the renewable energy utilization rate from the currently mainstream annual unit to an hourly unit that combines renewable energy generation and consumption on an hourly basis. In this way, renewable energy targets are becoming more diverse among companies.

In addition, storage batteries are expected to become more widespread as a means of adjusting for the unstable supply of renewable energy, and it is expected that consumers themselves will have their own storage batteries, as well as electricity retail businesses that purchase electricity from various power generation companies and sell it on their own.

On the other hand, DCs, which are large-scale consumers, require large amounts of electricity 24 hours a day, and procuring large amounts of renewable energy is a challenge, especially for urban DCs where demand is high. It is difficult from a cost perspective for DCs to have storage battery systems to cover their own renewable energy demand, so we believe that renewable energy supplies from multiple power generation companies and prosumers will become important.

Patent Document 1 discloses a technology that adjusts power interchange between consumers by using EV driving plans and storage battery operation based on each consumer's hourly power surplus or shortage and target indicators, so as to meet target indicators such as CO2 emissions and costs that differ for each consumer.

In Patent Document 1, it is possible to supply electricity to large consumers using the adjustment capacity of multiple storage batteries, but it does not take into account differences in renewable energy utilization rate targets, such as annual units, hourly units, and the ratios of these. Meanwhile, the renewable energy targets for each consumer differ depending on the level of renewable energy adoption. Furthermore, the actions to be taken, such as whether to purchase certificates, actually procure electricity, and how many kW to procure, differ depending on the renewable energy target and its level of achievement.

JP 2021-52529 A

Therefore, there is a need for technology that can devise demand adjustment plans that can simultaneously meet the different renewable energy targets of businesses.

A representative example of the present invention is a system for adjusting the supply and demand of renewable energy among multiple consumers. The system includes a calculation device and a storage device. The use of the renewable energy is certified by a certificate. The storage device stores management information including information on renewable energy usage targets with different unit periods for each of the multiple consumers. The calculation device determines other consumers that can supply renewable energy to a consumer that has a shortage of renewable energy at a specific time, and determines a plan of action for the other consumers, including the supply of renewable energy to the consumer with a shortage, based on the degree of achievement of the other consumers' renewable energy targets, with reference to the management information.

Enables demand adjustment to improve the achievement rate of renewable energy targets for multiple consumers.

1 shows the overall configuration of an energy management system according to an embodiment. 2 shows the logical configuration of a resource management server. An image of the data managed in the demand management table is shown. 1 shows an example of data managed in a battery management table. 1 shows the logical configuration of a renewable energy usage management table. 1 shows an overall flowchart of a renewable energy arrangement program according to an embodiment. 1 shows an image of the annual unit renewable energy target achievement rate for the embodiment. 1 shows an image of the hourly renewable energy target achievement rate in the embodiment. 13 illustrates a GUI that presents a proposed action to a consumer, among the GUIs displayed by the visualization program according to the embodiment.

The following embodiments are described with reference to the drawings. Note that the embodiments described below do not limit the scope of the invention as claimed, and not all of the elements and combinations thereof described in the embodiments are necessarily essential to the solution of the invention.

In the following explanation, various types of information may be explained using the expression "aaa table", but the various types of information may be expressed in a data structure other than a table. To indicate independence from the data structure, the "aaa table" may be called "aaa information". In the following explanation, processes may be explained using the computer as the subject, but this indicates that these processes are executed by a processor (e.g., a CPU (Central Processing Unit)) in the control device of the computer.

Similarly, when a process is described simply with the device as the subject, it indicates that the process is being executed by a controller provided in the device. Furthermore, at least one of the control device and the controller may be a processor itself, or may include a hardware circuit that performs some or all of the processes performed by the control device or the controller. A program may be installed in each computer or device from a program source. The program source may be, for example, a program distribution server or a storage medium.

In the following description, an ID is used as identification information for an element, but other types of identification information may be used instead of or in addition to the ID.

In the embodiment, a demand control method for achieving each consumer's renewable energy target using a renewable energy (RE) arrangement program 2470 is disclosed. Similarly, an example of visualization of proposed actions related to demand control using a visualization program 2475 is also disclosed.

Figure 1 shows the overall configuration of an energy management system according to an embodiment. VPP 1000 indicates a virtual power plant. The VPP is a mechanism for adjusting the balance between power supply and demand by collectively managing and controlling various types of energy resources. The VPP 1000 receives requests for power demand control or renewable energy supply plans from a power transmission and distribution company (PTD) 5000. The VPP 1000 controls the demand of the power consumers associated with it, thereby adjusting supply and demand to meet requests or correspond to the renewable energy supply plan.

In the VPP 1000, an aggregation coordinator (AC) 2050, a resource aggregator (RA) 1500, consumers (D) 3000, a power transmission and distribution network 6000, and power generation companies (PPs) 4000 cooperate with each other. The AC, RA, D, and PPs are businesses.

In the VPP1000, AC1000 receives a request for power demand control and requests power demand control from one or more RA1500. The RA1500 further requests power demand control from D3000, which it is responsible for. AC2050 and RA1500 create a demand control plan using a resource management server (RMS) 2000. The RMS2000 obtains information on the power demand and supply of D3000 from an energy management system (EMS) 3050, which manages the power demand and supply of D3000 and power generation companies (PPs) 4000.

D3000 and PPs4000 are connected by a power transmission and distribution network 6000, and power is supplied from PPs4000 to D3000. In the figure, a connection form in which the devices are connected by a line other than the power transmission and distribution network 6000 can be, for example, a LAN (Local Area Network) form, but is not limited to this network form. The connection may also be the same network as the power transmission and distribution network 6000.

In this embodiment, the RMS2000 is distributed and placed in the AC2050 and the RA1500, but this is not limited to this configuration. For example, the RMS2000 can be aggregated in any server, and the aggregated RMS2000 can have the function of collectively managing the power supply and demand of all consumers.

Figure 2 shows the configuration of an RMS 2000 according to an embodiment. A management network interface 2100, a processor 2200, an input/output (I/O) device 2300, a local disk 2400, and a memory 2500 are hardware components. The processor 2200 is a computing device, and the local disk 2400, the memory 2500, or a combination thereof, are storage devices.

The management network interface 2100 connects this RMS to the multiple systems shown in Figure 1. The input/output device 2300 is a user interface such as a monitor, keyboard, and mouse.

The local disk 2400 stores a demand management table 2420, a storage battery management table 2410, a renewable energy utilization management table 2480, a prediction program 2460, a renewable energy arrangement program 2470, and a visualization program 2475. The demand management table 2420, the storage battery management table 2410, and the renewable energy utilization management table 2480 are included in the management information. In addition, a renewable energy supply plan (not shown) is also stored in the local disk 2400 and is included in the management information. Part of the management information and the corresponding processes described below, for example, the storage battery management table 2410 and the processes related to the storage batteries, may be omitted.

The prediction program 2460, the renewable energy arrangement program 2470, and the visualization program 2475 are loaded into the memory 2500 and executed by the processor 2200. The processing of the prediction program 2460, the renewable energy arrangement program 2470, and the visualization program 2475 will be described later.

The demand management table 2420, the battery management table 2410, and the renewable energy usage management table 2480 are loaded into the memory 2500 and used by the prediction program 2460, the renewable energy arrangement program 2470, and the visualization program 2475. Details of these tables will be described later.

RMS2000 may be a physical computer system (one or more physical computers) or a system built on a group of computing resources (multiple computing resources) such as a cloud infrastructure. The computer system or group of computing resources includes one or more interface devices, one or more storage devices (including, for example, a main storage device and an auxiliary storage device), and one or more arithmetic devices.

When a function is realized by a program being executed by a computing device, the defined processing is performed using a storage device and/or an interface device, etc., as appropriate, and therefore the function may be considered to be at least a part of the computing device. Processing described using the function as the subject may be considered to be processing performed by the computing device or a system having its processor.

The program may be installed from a program source. The program source may be, for example, a program distribution computer or a computer-readable storage medium (e.g., a computer-readable non-transitory storage medium). The description of each function is an example, and multiple functions may be combined into one function, or one function may be divided into multiple functions.

Figure 3 is a demand forecast chart 2421 illustrating the data (information) managed in the demand management table 2420 and the data created by the forecast program 2460 from the data. The demand management table 2420 is generated from power consumption information obtained from the EMS 3050 of D3000 and PPs 4000, and shows the history of D3000's past power consumption (demand). The data is created by EMS 3050 and PPs 4000, and the created data may be received by RMS 2000; the method of data creation is arbitrary.

Demand forecast chart 2421 shows the power demand history of any D3000 and the forecast results. The solid line up to NOW (current time) on demand forecast chart 2421 is a plot of the power consumption information of D3000 managed by the demand management table 2420. The dashed line after NOW on demand forecast chart 2421 is a plot of the power consumption forecast results created by prediction program 2460 based on the power consumption information in the demand management table 2420. The method of forecasting power consumption is arbitrary, and in addition to past power consumption history, business plans, environmental conditions, etc. may be referenced.

Figure 4 is a battery prediction chart 2411 illustrating data managed in the battery management table 2410 and data created by the prediction program 2460 from the data. The battery management table 2410 is generated from battery information obtained from the EMS 3050 of the D3000 and the PPs 4000, and shows the history of the remaining power (charge amount) of the D3000 battery. Note that only some of the D3000 may have batteries. The data may be created by the EMS 3050 and the PPs 4000, and the created data may be received by the RMS; the method of data creation is arbitrary.

The battery prediction chart 2411 shows the remaining power history of an arbitrary D3000 battery and the prediction results. The solid line up to NOW on the battery prediction chart 2411 is a plot of the D3000 battery information managed by the battery management table 2410. The dashed line after NOW on the battery prediction chart 2411 is a plot of the remaining power prediction results of the battery created by the prediction program 2460 based on the battery information in the battery management table 2410. The method for predicting the remaining power is arbitrary, and may be based on, for example, the power consumption prediction of the consumer, the unit time renewable energy usage target value described below, a renewable energy supply plan for the consumer, etc. The renewable energy supply plan for the consumer includes the consumer's private renewable energy power generation amount.

Figure 5 shows the renewable energy utilization management table 2480. This table includes the renewable energy target information of each D3000 that the RMS2000 acquires from the D3000 and manages, and the renewable energy utilization information of each D3000 that the RMS2000 acquires from the EMS3050 of the D3000 and manages. The RMS2000 collects information at any time and updates the renewable energy utilization management table 2480. The renewable energy utilization information includes not only electricity information but also information on certificates that certify the utilization of renewable energy. The certificate information may be acquired not from the EMS3050 but from another entity that manages the certificate information, and the method of creating the data is arbitrary.

Column 2481 indicates the ID of the consumer. Column 2482 indicates the annual unit renewable energy usage target value of the consumer. Column 2483 indicates the hourly (1 hour) unit renewable energy usage target value of the consumer. In the example of FIG. 5, the annual unit renewable energy usage target value and the hourly renewable energy usage target value are shown as a percentage of the total power consumption. In other examples, these may be shown as the amount of power. Column 2484 indicates the achievement rate of the annual unit renewable energy usage target of the consumer. Details of the achievement rate of the annual unit renewable energy usage target will be described later with reference to FIG. 7. Column 2485 indicates the total amount of power consumption of the consumer up to the present time in the current year.

Column 2486 indicates the total hourly renewable energy consumption of the consumer up to the present time within the current year. The hourly renewable energy consumption indicates the amount of electricity actually used within the unit time from the generation of the renewable energy, or the amount of the certificate equivalent to the electricity that has been amortized. The certificate indicates the time period during which it can be amortized. Column 2487 indicates the achievement rate of the hourly renewable energy usage target of the consumer. Details of the achievement rate of the hourly renewable energy usage target will be described later with reference to FIG. 8.

Each row indicates information about a consumer. For example, row 248A indicates that the consumer ID is 1, that the consumer's annual unit renewable energy usage target is 50% of the total annual electricity consumption, and that the hourly renewable energy usage target is 50% of the total annual electricity consumption. Row 248A further indicates that the current achievement rate of the annual unit renewable energy usage target is 80%, that the current total electricity consumption for the current year is 100 MW, that the current hourly renewable energy usage for the current year is 70 MW, and that the current achievement rate of the hourly renewable energy usage target is 140%.

In addition, rows 248B and 248C indicate that only annual renewable energy usage targets are set. In addition, row 248C indicates that only annual renewable energy usage targets are set. In addition, row 248D indicates that only hourly renewable energy usage targets are set.

This example uses annual and hourly renewable energy usage targets. In other examples, renewable energy usage targets with different time periods may be used instead or in addition.

Figure 6 shows a flowchart of the renewable energy arrangement program 2470. Figure 6 shows the flow in which the renewable energy arrangement program 2470 receives plans for renewable energy power generation supply and power demand, and presents appropriate action plans when an impact occurs on each consumer's renewable energy usage target.

Step S1
The renewable energy arrangement program 2470 receives the plan of renewable energy power generation supply and power demand, starts processing, and proceeds to step S2. The plan of renewable energy power generation supply and power demand can be issued, for example, by the PTD 5000, which is a power transmission and distribution company.

Step S2
The renewable energy arrangement program 2470 calculates the surplus or shortage of renewable energy supply with respect to the renewable energy utilization target for all consumers D3000. For the calculation, the prediction program 2460 is used. Specifically, the annual unit target surplus or shortage Yt, the hourly unit target surplus or shortage Ht, and the hourly unit target surplus or shortage HGt are calculated. A specific calculation method will be described later with reference to FIGS. 7 and 8.

The renewable energy arrangement program 2470 repeatedly performs the processes of steps S3 to S13 for businesses (consumers) that are short of renewable energy. Businesses that are short of renewable energy are, for example, businesses for which the predicted value of the hourly surplus/shortage Ht indicates a shortage. The predicted value of the hourly surplus/shortage Ht is, for example, the sum of the planned value (predicted value) of the renewable energy supply amount and the predicted charge amount of the storage battery, minus the product of the power demand forecast value and the hourly renewable energy usage target value.

Step S3
The renewable energy arrangement program 2470 calculates the renewable energy chargeable amount Zt of each of the other consumers until the shortage time based on the storage battery states of the other consumers by the prediction program 2460. The shortage time is calculated in units of, for example, one hour, which is a unit of time.

Specifically, as described with reference to FIG. 4, the prediction program 2460 predicts the remaining amount of energy that can be stored based on information about the storage batteries of other consumers, the prediction of the amount of electricity demand of other consumers, the planned amount of renewable energy supply to other consumers indicated in the renewable energy supply plan received in step S1, the unit time renewable energy usage target value, etc. The renewable energy arrangement program 2470 calculates the amount of renewable energy that can be lent without affecting the renewable energy target achievement rates Yt, HGt of other consumers from the predicted charging amount as the chargeable amount. If the remaining amount of renewable energy exceeds Yt, HGt when consumed as is, it is determined that Yt, HGt can be achieved even if the power equivalent to the amount in excess of the target is stored and lent to other consumers. In this case, this amount of power in excess of the target can be determined as the amount of renewable energy that can be lent without affecting Yt, HGt.

Step S4
The renewable energy arrangement program 2470 queries the system of a target consumer that is short of renewable energy as to whether or not the consumer will suppress the power demand during the time period of the shortage, and if so, the amount of suppression. If the answer to step S4 is Yes (S4: Y), proceed to step S5. If the answer to step S4 is No (S4: N), proceed to step S7.

Step S5
The renewable energy arrangement program 2470 updates Yt, Ht, HGt, and Zt of the target consumers who are short of renewable energy, based on the response results of the demand suppression.

In steps S6 to S13 below, other consumers are classified based on their renewable energy surplus or shortage status, and action plans are created to be presented for each classification. This allows proposals for renewable energy adjustments that are effective in achieving each consumer's renewable energy target to be made. Note that classifications different from those shown below may be used, and some classifications may be omitted.

Step S6
In order to determine how to respond to consumers who are subject to demand control at other consumers, the renewable energy arrangement program 2470 calculates whether there will be surplus renewable energy at the renewable energy shortage time using the prediction program 2460, and sets the case where this is true as A. A consumer who has surplus renewable energy at the renewable energy shortage time without charging the storage battery from the present is determined to be A. The surplus renewable energy is the value obtained by subtracting the target renewable energy consumption amount from the renewable energy supply amount. The renewable energy supply amount includes the supply amount from PPs400, private power generation, and storage batteries. The target renewable energy usage amount is the product of the predicted power demand and the unit time renewable energy usage target value.

Step S7
In order to determine how to respond to consumers who are the subject of demand control, the renewable energy arrangement program 2470 determines whether charging is necessary for electricity sales and whether there is a time period in which renewable energy is insufficient until the renewable energy shortage time, and sets the result as B. The renewable energy arrangement program 2470 can predict the amount of charging until the shortage time by referring to the result of step S3.

Step S8
In order to determine how to respond to consumers who are subject to demand control, the renewable energy arrangement program 2470 refers to the renewable energy usage management table 2480 and calculates whether the hourly target HGt is currently being overachieved, and sets C if this is true.

Step S9
In order to determine how to respond to consumers who are subject to demand control, the renewable energy arrangement program 2470 refers to the renewable energy usage management table 2480, calculates whether the annual target Yt has currently been overachieved, and sets D if this is true.

After this, an action plan is created according to the consumer classification based on the calculation results of steps S6 to S9. If there is no surplus of shared renewable energy at any time until the shortage time for all other consumers (￢A∩￢B), the action plan generation process ends and the process returns to step S3 to start processing for the next consumer with a shortage. The above method of creating an action plan is one example, and an action plan may be created by other methods. For example, the storage battery information and the corresponding action plan may be omitted when creating the action plan.

Step S10
In the case of A∩D, the renewable energy arrangement program 2470 proposes the sale of renewable energy (reverse power flow) at the time of shortage. A∩D is a case where there is a surplus of renewable energy with respect to the annual renewable energy utilization rate target, and it is determined that there is no problem in lending the renewable energy supply during the time of shortage to others, and the renewable energy arrangement program 2470 proposes the sale of the renewable energy.

In this case, setting the electricity selling price higher than the market price and promoting electricity selling is useful for improving the utilization rate of renewable energy. The cost of the higher price may be collected in advance from consumers as compensation for using this renewable energy supply and demand adjustment service by the RMS, or it may be borne by consumers with a shortage. The method for setting the electricity selling price is arbitrary.

Step S11
In the case of A∩C∩￢D, the renewable energy arrangement program 2470 proposes selling renewable energy and purchasing certificates at the time of shortage. A∩C∩￢D is a case where there is a surplus of renewable energy for the hourly renewable energy target, but it is necessary to procure renewable energy to meet the annual renewable energy target.

The renewable energy arrangement program 2470 determines that it is okay to lend renewable energy supply during times of shortage to others. It proposes selling the renewable energy and at the same time proposes the purchase of annual certificates to achieve the annual renewable energy target. Note that since the purchase of certificates does not need to be carried out on a daily basis and it is sufficient to ultimately reach the target in a year, the purchase of certificates is not proposed in this flow, and both the hourly and annual renewable energy usage target achievement levels may be updated in S15 described below.

Step S12
In the case of B∩D, the renewable energy arrangement program 2470 proposes charging until the shortage time and selling the power at the shortage time. B∩D is a case where a consumer who sets only an annual target has a surplus of renewable energy until the shortage time. The renewable energy arrangement program 2470 proposes charging the storage battery until the shortage time for an amount that does not affect the achievement of the annual renewable energy target, and selling the charged renewable energy at the shortage time to accommodate the renewable energy.

Step S13
In the case of B∩C∩￢D, the renewable energy arrangement program 2470 proposes charging until the shortage time, selling renewable energy during the shortage time, and purchasing a certificate. B∩C∩￢D is a case where there is a time period during which renewable energy is in excess of the hourly renewable energy target until the shortage time, and renewable energy can be lent to others, but renewable energy procurement is necessary to meet the annual renewable energy target.

In this case, the renewable energy arrangement program 2470 determines that it is acceptable to charge the surplus renewable energy into the storage battery until the time of shortage, and to lend it to others by discharging it during the shortage time. It proposes selling the charged renewable energy, and at the same time proposes the purchase of an annual certificate to achieve the annual renewable energy target. Note that since the purchase of certificates does not need to be carried out on a daily basis, and it is sufficient to ultimately reach the target in a year, the purchase of certificates is not proposed in this flow, and it is also acceptable to simply update both the hourly and annual renewable energy usage target achievement levels in S15 described below.

Step S14
The renewable energy arrangement program 2470 presents the demand control plan for other consumers to the shortage consumers and confirms whether to request the other consumers to adjust their demand. At this time, the renewable energy arrangement program 2470 may present the cost of the demand adjustment request described in step S10.

The demand control proposals presented at this time may be in multiple combinations depending on the situations of other consumers. One method for determining the combination is, for example, to select the combination with the most adjustable power. Other combination selection methods may also be used, and the method for selecting the combination of demand control proposals is arbitrary.

If the determination result in step S14 is Yes, the renewable energy arrangement program 2470 proceeds to step S15. If the determination result in step S14 is No, the renewable energy arrangement program 2470 terminates processing and proceeds to step S3 for the next shortage consumer.

Step S15
The renewable energy arrangement program 2470 updates Yt, Ht, HGt, and Zt based on the response to the demand adjustment request to other consumers. Note that the response to the demand adjustment request does not necessarily mean 100% approval of the request content. For example, a partially positive response may be given to a demand adjustment request of 1 MW, such as 0.5 MW being OK.
Step S16

The renewable energy arrangement program 2470 determines whether or not the renewable energy usage target can be achieved as a result of the demand adjustment responses from other consumers. If the determination result in step S16 is Yes, the renewable energy arrangement program 2470 ends the processing and proceeds to S3 for the next shortage consumer. If the determination result in step S16 is No, the renewable energy arrangement program 2470 determines that demand adjustment is necessary and proceeds to step S6 to determine and select a demand adjustment method again.

The steps outlined above will enable renewable energy to be provided to consumers with a renewable energy shortage while also helping other consumers achieve their renewable energy usage targets.

In the processing example of FIG. 6, only consumers with surplus renewable energy are selected as adjustment targets. In another example, it is possible to plan demand adjustment for consumers who do not have surplus renewable energy relative to the target, assuming consumers who place importance on the economic benefits of selling renewable energy. In this case, it is possible to deal with this by changing the condition of whether or not there is surplus renewable energy in steps S6 and S7 to whether or not renewable energy can be accommodated.

Figure 7 shows an image of the annual unit renewable energy target achievement rate. The annual unit target surplus/deficiency Yt described in step S2 of Figure 6 will be explained using Figure 7.

The X-axis in Figure 7 shows each month from January to December, and the Y-axis shows renewable energy consumption. As shown, the solid line shows the actual certificate procurement, and the dashed line shows the certificate procurement target (procurement plan). The figure shows a case where a fixed amount of certificates is procured every month, but the plan may be to procure a large amount every quarter or in December. In the example shown, the actual certificate procurement performance does not match the procurement plan. The total amount of the shaded portion shown as Yt shows the surplus or shortfall of the certificate procurement performance compared to the certificate procurement target.

The degree of goal achievement can therefore be expressed as the ratio of procurement results to the target value at the time of calculation. In the case shown in Figure 7, the current procurement amount exceeds the target, so the degree of goal achievement can be shown as 110%. This degree of goal achievement is managed in column 2484 of the renewable energy usage management table 2480 shown in Figure 5.

Figure 8 shows an image of the hourly renewable energy target achievement rate. The hourly surplus/shortage Ht and the hourly target surplus/shortage HGt mentioned in step S2 of Figure 6 are explained using Figure 8.

The X-axis in FIG. 8 shows each month from January to December, and the Y-axis shows the hourly renewable energy target achievement rate for each time period, summarized by month. The hourly renewable energy target achievement rate for each time period is the ratio of the amount of renewable energy consumed or the amount of certificates amortized in that time period to the amount of electricity consumed in that time period. The surplus or deficiency of renewable energy consumption and certificate amortization for each time period is set as Ht for the target amount of renewable energy usage for each time period Tt. The target amount of renewable energy usage Tt is the product of the hourly electricity consumption and the hourly renewable energy usage target value. The current target achievement rate can be expressed by the following formula.
Σ(Tt+Ht)/ΣTt

The target achievement rate for each month shown in Figure 8 can also be calculated using the above formula. The hourly target surplus/deficiency HGt is calculated by subtracting the hourly power consumption from the hourly target amount (Tt).

The current total power consumption is managed in column 2485 of the renewable energy usage management table 2480 shown in FIG. 5, the current hourly renewable energy usage (Σ(Tt+Ht)) is managed in column 2486, and the current target achievement level (Σ(Tt+Ht)/ΣTt) is managed in column 2487.

Figure 9 is an example of a proposed action for demand control visualized by the visualization program 2475. GUI 9000 is an example of a screen presented by the renewable energy arrangement program 2470 to users AC 2050 and RA 1500. GUI 9000 includes contact information for consumers with a renewable energy shortage, and information on demand adjustment details for other consumers to accommodate the shortage of renewable energy. It also includes interfaces for communicating the information to the consumer with a renewable energy shortage and other consumers.

The left section 9100 of the GUI shows a list of the collection of consumers and power generation companies managed by the user and their configuration. The left section 9100 can display the units in which electricity and certificates can be traded. In the example of Figure 9, it can be seen that there are groups BG1 and BG2 that can adjust supply and demand, and BG2 contains consumers D1, D2, and D3.

The top section 9200 of the GUI shows the results of a daily renewable energy supply forecast for the consumer selected in the left section 9100. In this example, consumer D1 is selected. Chart 9210 shows that there are time periods where the supply forecast, shown by the solid line, is insufficient compared to the demand forecast, shown by the dashed line, and the specific details are written on the left side of chart 9210. It shows that there is a 10 MW shortage of renewable energy from 14:00-15:00, and a 5 MW shortage of renewable energy from 15:00-16:00.

The bottom right section 9500 of the GUI shows the content of the demand adjustment requested of other consumers to procure the renewable energy shortage. Table 9510 shows the demand adjustment proposal created by the renewable energy arrangement program 2470. Column 9511 shows the ID of the other consumers, and column 9512 shows the action requested of the consumer.

Column 9513 shows the supply and demand results of a shortage consumer due to the actions of other consumers. Column 9514 shows the response results from other consumers to the action request. Initially, column 9514 is blank. Column 9515 shows the cost of making a request to other consumers. For example, a unit price is set in advance for each consumer, and the cost can be calculated from the unit price and the amount of electricity sold. The cost is useful for determining whether or not a request has been made.

When the user clicks button 9560, the user can contact consumer D1, which is short of renewable energy, as to whether or not to pay the cost shown and request demand adjustment from other consumers. When the user clicks button 9570, the user can request demand adjustment from other consumers. The result of accepting/rejecting the request is displayed in column 9514.

The present invention is not limited to the above-described embodiments, but includes various modified examples. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those having all of the configurations described. It is also possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

Furthermore, each of the above configurations, functions, processing units, etc. may be realized in hardware, for example by designing some or all of them as an integrated circuit. Furthermore, each of the above configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as the programs, tables, files, etc. that realize each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card or SD card.

In addition, the control lines and information lines shown are those considered necessary for the explanation, and not all control lines and information lines on the product are necessarily shown. In reality, it can be assumed that almost all components are interconnected.

1000...VPP, 1500...RA, 2000...RMS, 3000...D, 3050...EMS

Claims (9)

A system for adjusting supply and demand of renewable energy among multiple consumers,
A computing device;
a storage device;
The use of said renewable energy is certified by a certificate;
The storage device stores management information including information on renewable energy usage targets having different unit periods for each of the multiple consumers,
The computing device includes:
Determine other consumers that can supply renewable energy to a consumer that is experiencing a shortage of renewable energy at a specific time;
The system determines the other consumers' proposed actions, which include selling renewable energy to the shortage consumer and consist of one or more of the actions of selling renewable energy, purchasing a certificate, and charging , based on the degree of achievement of the other consumers' renewable energy usage target values having different unit periods, by referring to the management information. 2. The system of claim 1,
The other consumer to which the renewable energy can be supplied is a consumer that can have surplus renewable energy with respect to a renewable energy usage target value at the specific time. 2. The system of claim 1,
The management information includes information regarding a storage battery charge amount of each of the multiple consumers,
The calculation device determines the action plan for the other consumer based on the battery charge amount and unit period of the other consumer and the degree of achievement of the renewable energy usage target value that differs by referring to the management information. 4. The system of claim 3,
The other consumer that can accommodate the renewable energy is a consumer that can have surplus renewable energy with respect to the renewable energy usage target value at the specific time,
The calculation device identifies the shortage consumer and the other consumer based on a power demand forecast, a renewable energy supply plan, and a storage battery charge forecast for the multiple consumers. 2. The system of claim 1,
The renewable energy usage target includes a renewable energy usage target value for a first unit period and a renewable energy usage target value for a second unit period that is shorter than the first unit period,
The system further comprises a step of selling the power as an action plan for other consumers who have overachieved their renewable energy usage target value for the first unit period. 2. The system of claim 1,
The renewable energy usage target includes a renewable energy usage target value for a first unit period and a renewable energy usage target value for a second unit period that is shorter than the first unit period,
The system further comprises a step of: providing a power supply to the other consumers whose renewable energy usage target value for the second unit period has been exceeded; and providing a step of providing the other consumers whose renewable energy usage target value for the second unit period has been exceeded ; 4. The system of claim 3,
The other consumers who can supply the renewable energy are consumers who can have surplus renewable energy with respect to a renewable energy usage target value at the specific time, and the action plan for the other consumers who can have the surplus renewable energy by charging a storage battery by the specific time consists of charging the storage battery and selling the electricity, or charging the storage battery, selling the electricity, and purchasing the certificate . 2. The system of claim 1,
The computing device presents information on the cost borne by the shortage consumer for the proposed action together with the proposed action. A method for adjusting supply and demand of renewable energy among multiple consumers, comprising:
The use of said renewable energy is certified by a certificate;
The system stores management information including information on renewable energy usage targets having different unit periods for each of the multiple consumers,
The method further comprises the steps of:
Determine other consumers that can supply renewable energy to a consumer that is experiencing a shortage of renewable energy at a specific time;
The method includes determining, by referring to the management information, a proposed action of the other consumer, which includes the sale of renewable energy to the shortage consumer and consists of one or more of the actions of the sale, purchasing a certificate, and charging , based on the degree of achievement of the other consumer's renewable energy usage target values having different unit periods.

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