System and method for adjusting supply and demand of renewable energy among a plurality of demand households

Abstract

To enable demand adjustment to improve the achievement of renewable energy targets for a plurality of consumers.SOLUTION: A system is to adjust supply and demand of renewable energy among a plurality of consumers. Renewable energy utilization is certified by a certificate. The system stores management information including information on renewable energy utilization targets with different unit periods for each of the plurality of consumers. The system determines other consumers who can provide the renewable energy to a shortage consumer who is short of the renewable energy at a specific time. The system refers to the management information and determines action plans of other consumers, including the supply of the renewable energy to the shortage consumer, based on the achievement of the renewable energy targets of the other consumers.SELECTED DRAWING: Figure 6

Description

Technical Field

[0001] The present invention relates to the adjustment of the supply and demand of renewable energy among multiple consumers.

Background Art

[0002] As a countermeasure against climate change, the use of renewable energy (renewable energy) is progressing. Conventionally, the procurement method of renewable energy has generally been the purchase of certificates such as non-fossil certificates. However, in recent years, aiming at an increase in the renewable energy circulation volume, there has been an increasing case of directly purchasing renewable energy from power generation companies by means of a PPA (Power Purchase Agreement) or the like and acquiring environmental value through the transfer of certificates accompanying the purchase.

[0003] This trend is the same among consumers who consume a large amount of electricity. In data centers (DCs), which are large consumers of electricity, the procurement of electricity by means of PPA is spreading mainly in Europe and the United States. Furthermore, advanced operators in Europe and the United States aim to improve the overall renewable energy utilization rate of society in the future, and are promoting the improvement of the renewable energy utilization rate in units of hours by matching the power generation and consumption of renewable energy in units of hours, as opposed to the current mainstream renewable energy utilization rate on an annual basis. Thus, the renewable energy targets of companies are diversifying.

[0004] In addition, the spread of rechargeable batteries is expected as a means of adjusting renewable energy with unstable supply. It is expected that consumers themselves will have rechargeable batteries, or that power retail businesses that purchase electricity from various power generation companies and sell it will have rechargeable batteries.

[0005] On the other hand, DCs, which are large consumers, require a large amount of electricity throughout the day and night. In particular, in urban DCs with high demand, the large-scale procurement of renewable energy is an issue. It is difficult for DCs to have a rechargeable battery system to meet their own renewable energy demand from a cost perspective, and it is considered important to supply renewable energy from multiple power generation companies and prosumers.

[0006] Patent Document 1 discloses a technology that adjusts power interchange between consumers by using EV driving plans and battery operation based on each consumer's power surplus or shortage at each time and target indicators, so as to meet target indicators such as CO2 emissions and costs that differ for each consumer.

[0007] In Patent Document 1, it is possible to supply electricity to large consumers using the balancing power of multiple storage batteries, but it does not take into account the difference in the target renewable energy utilization rate, such as annual, hourly, or the ratio of these. Meanwhile, the renewable energy target for each consumer differs depending on the degree of renewable energy adoption. Furthermore, the actions to be taken, such as whether to purchase a certificate, whether to actually procure electricity, and how many kW to procure, differ depending on the renewable energy target and its achievement level. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Patent Publication No. 2021-52529 Summary of the Invention [Problem to be solved by the invention]

[0009] Therefore, there is a need for technology that can develop demand adjustment plans that can simultaneously meet different renewable energy targets of businesses. [Means for solving the problem]

[0010] A typical example of the present invention is a system for adjusting the supply and demand of renewable energy among multiple consumers. The system includes a computing 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 the renewable energy utilization targets of each of the multiple consumers with different unit periods. The computing device determines other consumers who can lend renewable energy to a deficit consumer whose renewable energy is insufficient at a specific time, and determines an action plan for the other consumers including the supply of renewable energy to the deficit consumer, with reference to the management information, based on the achievement degree of the renewable energy targets of the other consumers.

Advantages of the Invention

[0011] It enables demand adjustment to improve the achievement rate of the renewable energy targets of multiple consumers.

Brief Description of the Drawings

[0012]

Figure 1

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Figure 9

Modes for Carrying Out the Invention

[0013] The embodiments will be described with reference to the drawings. Note that the embodiments described below do not limit the invention according to the claims, and not all of the elements and combinations thereof described in the embodiments are essential for the solution means of the invention.

[0014] In the following description, various information may be described in the expression of "aaa table", but the various information may be expressed in a data structure other than a table. In order to indicate that it does not depend on the data structure, "aaa table" can be referred to as "aaa information". Also, in the following description, when the processing is described with a computer as the subject, it indicates that these processes are executed by a processor (for example, a CPU (Central Processing Unit)) included in a control device provided in the computer.

[0015] Similarly, when simply describing the processing with a device as the subject, it indicates that the processing is executed by a controller provided in the device. Also, at least one of the above control device and controller may be the processor itself, or may include a hardware circuit that performs part or all of the processing performed by the control device or controller. The program may be installed from a program source into each computer or device. The program source may be, for example, a program distribution server or a storage medium.

[0016] Also, in the following description, ID is used as the identification information of the element, but other types of identification information may be used instead of or in addition to it.

[0017] In the embodiment, a demand control method for achieving the renewable energy target of each customer by the renewable energy (RE) arrangement program 2470 is disclosed. Similarly, an example of visualization of action plan presentation related to demand control by the visualization program 2475 is also disclosed.

[0018] Figure 1 shows the overall configuration of the energy management system of the embodiment. VPP1000 represents a Virtual Power Plant. A VPP is a mechanism for adjusting the power supply-demand balance by collectively managing and controlling various types of energy resources. VPP1000 receives a power demand control request or a renewable energy supply plan from the Power Transmission and Distribution Operator (PTD) 5000. VPP1000 responds to the request or implements supply-demand adjustment corresponding to the renewable energy supply plan by controlling the demand of the power consumers involved.

[0019] In VPP1000, the Aggregation Coordinator (AC) 2050, the Resource Aggregator (RA) 1500, the Consumers (D) 3000, the power transmission and distribution network 6000, and the Power Producers (PPs) 4000 cooperate. AC, RA, D, and PPs are operators.

[0020] In VPP1000, AC1000 receives a power demand control request and requests power demand control from one or more RAs 1500. RA1500 further requests power demand control from the D3000 under its charge. AC2050 and RA1500 create a demand control plan by the Resource Management Server (RMS) 2000. RMS2000 acquires the power supply-demand information of D3000 from the Energy Management System (EMS) 3050 that manages the power supply-demand of each of D3000 and the Power Producers (PPs) 4000.

[0021] D3000 and PPs4000 are connected by the power transmission and distribution network 6000, and power is supplied from PPs4000 to D3000. The connection form shown by a line other than the power transmission and distribution network 6000 in the figure can exemplify the LAN (Local Area Network) form, but is not limited to this network form. Also, the connection may be in the same network as the power transmission and distribution network 6000.

[0022] In this embodiment, RMS2000 is distributed and arranged in AC2050 and RA1500, but it is not limited to this form. For example, 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.

[0023] Figure 2 shows the configuration of RMS2000 in the embodiment. The management network interface 2100, the processor 2200, the input / output (I / O) device 2300, the local disk 2400, and the memory 2500 are hardware components. The processor 2200 is an arithmetic unit, and the local disk 2400, the memory 2500, or a combination thereof is a storage device.

[0024] The management network interface 2100 connects this RMS to the multiple systems shown in FIG. 1. The input / output device 2300 is a user interface such as a monitor, a keyboard, and a mouse.

[0025] The local disk 2400 stores a demand management table 2420, a battery management table 2410, a renewable energy utilization management table 2480, a prediction program 2460, a renewable energy rearrangement program 2470, and a visualization program 2475. The demand management table 2420, the battery management table 2410, and the renewable energy utilization management table 2480 are included in the management information. Also, a renewable energy supply plan (not shown) is stored in the local disk 2400 and is included in the management information. A part of the management information and the corresponding processing below, for example, the battery management table 2410 and the processing related to the battery, may be omitted.

[0026] The prediction program 2460, the renewable energy rearrangement 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 rearrangement program 2470, and the visualization program 2475 will be described later.

[0027] The demand management table 2420, the storage battery management table 2410, and the renewable energy utilization management table 2480 are loaded into the memory 2500 and used by the prediction program 2460, the renewable energy rearrangement program 2470, and the visualization program 2475. Details of these tables will be described later.

[0028] RMS2000 may be a physical computer system (one or more physical computers) or a system constructed on a group of computing resources (a plurality of computing resources) such as a cloud platform. The computer system or the group of computing resources includes one or more interface devices, one or more storage devices (for example, including a main storage device and an auxiliary storage device), and one or more arithmetic devices.

[0029] When a function is realized by a program being executed by an arithmetic device, since the defined processing is performed while appropriately using a storage device and / or an interface device, etc., the function may be regarded as at least a part of the arithmetic device. The processing described with the function as the subject may also be the processing performed by an arithmetic device or a system having its processor.

[0030] 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 (for example, a computer-readable non-transitory storage medium). The description of each function is an example, and a plurality of functions may be combined into one function, or one function may be divided into a plurality of functions.

[0031] FIG. 3 is a demand prediction chart 2421 showing the data (information) managed by the demand management table 2420 and the data created by the prediction program 2460 from the said data. The demand management table 2420 is generated from the power consumption information acquired from the EMS3050 of D3000 and PPs4000, and shows the history of the past power consumption (demand) of D3000. The said data may be created by the EMS3050 and PPs4000, and the RMS2000 may receive the created data. The method of data creation is arbitrary.

[0032] The demand prediction chart 2421 shows the power demand history of any D3000 and its prediction results. The solid line up to NOW (current time) in the demand prediction chart 2421 plots the power consumption information of D3000 managed by the demand management table 2420. The dashed line after NOW in the demand prediction chart 2421 plots the prediction results of power consumption created by the prediction program 2460 based on the power consumption information in the demand management table 2420. The method of predicting power consumption is arbitrary, and in addition to the past power consumption history, business plans, environmental conditions, etc. may be referred to.

[0033] Figure 4 is a battery prediction chart 2411 showing the data managed by the battery management table 2410 and the data created by the prediction program 2460 from the said data. The battery management table 2410 is generated from the battery information acquired from the EMS3050 of D3000 and PPs4000, and shows the history of the past remaining battery power (charge amount) of the battery of D3000. Note that only some D3000s may have batteries. The said data is created by the EMS3050 and PPs4000, and the created data may be received by the RMS. The method of data creation is arbitrary.

[0034] The battery prediction chart 2411 shows the remaining battery power history of any D3000's battery and its prediction results. The solid line up to NOW in the battery prediction chart 2411 plots the battery information of D3000 managed by the battery management table 2410. The dashed line after NOW in the battery prediction chart 2411 plots the prediction results of the remaining battery power created by the prediction program 2460 based on the battery information in the battery management table 2410. The method of predicting the remaining battery power is arbitrary. For example, it may be based on the power consumption prediction of the customer, the target value of renewable energy utilization per unit time described later, the renewable energy supply plan to the customer, etc. The renewable energy supply plan to the customer includes the customer's own renewable energy generation amount.

[0035] Figure 5 shows the renewable energy utilization management table 2480. This table includes the renewable energy target information of each D3000 obtained and managed by the RMS2000 from the D3000, and the renewable energy utilization information of each D3000 obtained and managed from the EMS3050 of the D3000. The RMS2000 collects information at any time and updates the renewable energy utilization management table 2480. The renewable energy utilization information includes not only power information but also certificate information for proving renewable energy utilization. The certificate information may be obtained from another entity that manages the certificate information instead of the EMS3050, and the data creation method is arbitrary.

[0036] Column 2481 indicates the customer ID. Column 2482 indicates the annual unit renewable energy utilization target value of the customer. Column 2483 indicates the hourly unit renewable energy utilization target value of the customer. In the example of Figure 5, the annual unit renewable energy utilization target value and the hourly unit renewable energy utilization target value are shown as percentages of the total power consumption. In other examples, these may be shown in power amounts. Column 2484 indicates the achievement rate of the annual unit renewable energy utilization target of the customer. Details of the achievement rate of the annual unit renewable energy utilization target will be described later with reference to Figure 7. Column 2485 indicates the total sum of the power consumption of the customer up to the present within the current year.

[0037] Column 2486 indicates the total sum of the hourly unit renewable energy consumption of the customer up to the present within the current year. The hourly unit renewable energy consumption indicates the amount of power actually used within the unit time from the generation of the renewable energy, or the amount of amortization of the certificate corresponding to the power. The certificate indicates the amortizable time period. Column 2487 indicates the achievement rate of the hourly unit renewable energy utilization target of the customer. Details of the achievement rate of the hourly unit renewable energy utilization target will be described later with reference to Figure 8.

[0038] Each row shows the information of the customer. For example, row 248A indicates that the customer ID is 1, the annual renewable energy utilization target of the customer is 50% of the total annual power consumption, and the time-based renewable energy utilization target is 50% of the total annual power consumption. Row 248A further shows that the achievement rate of the annual renewable energy utilization target at the current time is 80%, the total annual power consumption within the current year at the current time is 100 MW, the time-based renewable energy utilization amount within the current year at the current time is 70 MW, and the achievement rate of the time-based renewable energy utilization target at the current time is 140%.

[0039] Also, rows 248B and 248C indicate that only the annual renewable energy utilization target is set. Also, row 248C indicates that only the annual renewable energy utilization target is set. Also, row 248D indicates that only the time-based renewable energy utilization target is set.

[0040] In this example, the annual and hourly renewable energy utilization targets are used. In other examples, instead of or in addition to these, renewable energy utilization targets with different period lengths may be used.

[0041] Figure 6 shows the flowchart of the renewable energy rearrangement program 2470. Figure 6 shows the flow in which the renewable energy rearrangement program 2470 receives the plans for renewable energy power supply and power demand and presents an appropriate action plan when the renewable energy utilization targets of each customer are affected.

[0042] Step S1 The renewable energy rearrangement program 2470 receives the plans for renewable energy power supply and power demand, starts the process, and proceeds to step S2. An example of the issuer of the plans for renewable energy power supply and power demand is PTD5000, which is a power transmission and distribution operator.

[0043] Step S2 The renewable energy rearrangement program 2470 calculates the surplus or deficit of renewable energy supply relative to the renewable energy utilization target for all consumers D3000. For this calculation, the prediction program 2460 is used. Specifically, the annual unit target surplus / deficit Yt, the time unit surplus / deficit Ht, and the time unit target surplus / deficit HGt are calculated respectively. The specific calculation method will be described later with reference to Figures 7 and 8.

[0044] The renewable energy rearrangement program 2470 repeatedly performs the processes of steps S3 to S13 for the operators (consumers) with insufficient renewable energy. An operator with insufficient renewable energy is, for example, an operator whose predicted value of the time unit surplus / deficit Ht indicates a shortage. The predicted value of the time unit surplus / deficit Ht is, for example, a value obtained by subtracting the product of the predicted power demand value and the time unit renewable energy utilization target value from the sum of the planned value (predicted value) of the renewable energy supply amount and the predicted charge amount of the storage battery.

[0045] Step S3 The renewable energy rearrangement program 2470 calculates, based on the state of the storage batteries of other consumers by the prediction program 2460, the chargeable amount Zt of renewable energy for each of the other consumers until the shortage time. The shortage time is calculated, for example, in units of 1 hour, which is a unit time.

[0046] Specifically, as described with reference to Figure 4, the prediction program 2460 predicts the remaining chargeable power amount based on the information of the storage batteries of other consumers, the prediction of the power demand amount of other consumers, the planned amount of renewable energy supply to other consumers indicated by the renewable energy supply plan received in step S1, the time unit renewable energy utilization target value, etc. The renewable energy rearrangement program 2470 calculates, as the chargeable amount, the amount of renewable energy that can be lent without affecting the renewable energy target achievement rates Yt and HGt of other consumers from the predicted charge amount. If Yt and HGt are exceeded when the remaining charge amount of renewable energy is consumed as it is, it is determined that Yt and HGt can still be achieved even if the power corresponding to the excess over the target is stored and lent to other consumers. In this case, this excess power over the target can be determined as the amount of renewable energy that can be lent without affecting Yt and HGt.

[0047] Step S4 The renewable energy rearrangement program 2470 inquires of the consumer in need of renewable energy whether they will suppress the power demand during the shortage period, and if so, the amount, to the consumer's system. If the answer to step S4 is Yes (S4: Y), it proceeds to step S5. If the answer to step S4 is No (S4: N), it proceeds to step S7.

[0048] Step S5 Based on the demand suppression response result, the renewable energy rearrangement program 2470 updates Yt, Ht, HGt, and Zt of the consumers in need of renewable energy.

[0049] In the following steps S6 to S13, other consumers are classified based on their renewable energy surplus or deficit status, and action plans are created for each classification. This enables proposals for effective renewable energy adjustment to achieve the renewable energy targets of each consumer. Note that classifications different from those shown below may be used, or some classifications may be omitted.

[0050] Step S6 For determining the response method of other consumers to the consumers subject to demand control, the renewable energy rearrangement program 2470 calculates whether there will be excess renewable energy at the time of renewable energy shortage by the prediction program 2460, and sets the case where it is true as A. Consumers with excess renewable energy at the time of renewable energy shortage are determined as A without charging the battery from now on. The excess renewable energy is the value obtained by subtracting the renewable energy target consumption from the renewable energy supply amount. The renewable energy supply amount includes the supply amounts from PPs400, self-generation, and the battery. The renewable energy target utilization amount is the product of the predicted power demand and the renewable energy utilization target value per unit time.

[0051] Step S7 The renewable energy rearrangement program 2470 determines the response method for consumers subject to demand control. For power sales, charging is necessary. Further, it determines whether there is a time period during which renewable energy remains until the time of renewable energy shortage, and if true, designates it as B. The renewable energy rearrangement program 2470 can predict the charging amount until the shortage time with reference to the result of step S3.

[0052] Step S8 The renewable energy rearrangement program 2470 refers to the renewable energy utilization management table 2480 to calculate whether the current target HGt per time unit is being exceeded for determining the response method for consumers subject to demand control, and if true, designates it as C.

[0053] Step S9 The renewable energy rearrangement program 2470 refers to the renewable energy utilization management table 2480 to calculate whether the current annual target Yt is being exceeded for determining the response method for consumers subject to demand control, and if true, designates it as D.

[0054] Subsequently, an action plan corresponding to the consumer classification based on the calculation results of steps S6 to S9 is created. If there is no surplus for renewable energy sharing until the shortage time in all other consumers (¬A ∩ ¬B), the action plan generation process is terminated, and the process returns to step S3 to start the process for the next shortage consumer. The method for creating the above action plan is an example, and an action plan may be created by other methods. For example, information on the storage battery and the corresponding action plan may be omitted in creating the action plan.

[0055] Step S10 In the case of A ∩ D, the renewable energy rearrangement program 2470 proposes selling renewable energy (reverse power flow) at the shortage time. A ∩ D is a case where there is surplus 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 shortage time period to others, and the sale of the renewable energy is proposed.

[0056] At this time, setting the selling electricity price higher than the market price and promoting the selling of electricity are useful for improving the renewable energy utilization rate. The cost for the increased price may be collected in advance from the consumers as the consideration for using the renewable energy supply and demand adjustment service provided by the RMS, or may be borne by the deficit consumers. The method for setting the selling electricity price is arbitrary.

[0057] Step S11 In the case of A ∩ C ∩ ¬D, the renewable energy rearrangement program 2470 proposes selling renewable energy and purchasing certificates during the deficit time. A ∩ C ∩ ¬D is a case where there is surplus renewable energy with respect to the renewable energy target per unit time, but renewable energy procurement is required for the annual renewable energy target.

[0058] The renewable energy rearrangement program 2470 determines that it is okay to lend the renewable energy supply during the deficit time period to others. When proposing the selling of the renewable energy, it also proposes purchasing annual certificates for achieving the annual renewable energy target. Note that it is not necessary to purchase certificates daily, as long as the target is finally achieved annually. Therefore, the purchase of certificates is not specifically proposed in this flow, and the achievement degrees of the renewable energy utilization targets per unit time and annually may be updated both in S15 described later.

[0059] Step S12 In the case of B ∩ D, the renewable energy rearrangement program 2470 proposes charging until the deficit time and selling electricity during the deficit time. B ∩ D is a case where consumers who only set the annual target generate surplus renewable energy until the deficit time. The renewable energy rearrangement program 2470 proposes to charge the battery until the deficit time for the amount that does not pose a problem for achieving the annual renewable energy target, and to sell the charged renewable energy during the deficit time to lend the renewable energy.

[0060] Step S13 In the case of B ∩ C ∩ ¬D, the renewable energy rearrangement program 2470 proposes charging until the shortage time, selling renewable energy during the shortage time, and purchasing certificates. B ∩ C ∩ ¬D means that there is a time period during which renewable energy is surplus with respect to the renewable energy target per unit time until the shortage time, and it is possible to lend it to others, but renewable energy procurement is required for the annual renewable energy target.

[0061] In this case, the renewable energy rearrangement program 2470 determines that it is okay to charge the surplus renewable energy in the battery until the shortage time and discharge it during the shortage time and lend it to others. While proposing to sell the charged renewable energy, it also proposes to purchase annual certificates in order to achieve the annual renewable energy target. Note that it is not necessary to purchase certificates daily, and it is only necessary to finally reach the target annually. Therefore, the purchase of certificates is not explicitly proposed in this flow, and it may be sufficient to simply update both the degree of achievement of the renewable energy utilization target per unit time and annually in S15 described later.

[0062] Step S14 The renewable energy rearrangement program 2470 presents a demand control plan to other consumers and checks whether to request demand adjustment from other consumers. At this time, the cost of the demand adjustment request described in step S10 may be presented.

[0063] At this time, multiple combinations of demand control plans can be considered depending on the situation of other consumers. As a method for determining the combination, for example, a method of selecting in descending order of the adjustable power amount can be mentioned. Other combination selection methods may also be used, and the method for selecting the combination of demand control plans is arbitrary.

[0064] If the determination result in step S14 is Yes, the renewable energy rearrangement program 2470 proceeds to step S15. If the determination result in step S14 is No, the renewable energy rearrangement program 2470 ends the process and proceeds to step S3 for the next consumer in shortage.

[0065] Step S15 The renewable energy rearrangement program 2470 updates Yt, Ht, HGt, and Zt based on the response to the request for demand adjustment to other consumers. Note that the response to the demand adjustment request does not necessarily fully approve the requested content. For example, in response to a demand adjustment request of 1 MW, a partially affirmative response such as OK for 0.5 MW may be given. Step S16

[0066] The renewable energy rearrangement program 2470 determines whether the renewable energy utilization target can be achieved as a result of the response to the demand adjustment by other consumers. If the determination result in step S16 is Yes, the renewable energy rearrangement program 2470 ends the process and proceeds to S3 for the next deficit consumer. If the determination result in step S16 is No, the renewable energy rearrangement program 2470 determines that demand adjustment is necessary and proceeds to step S6 again to determine and select a demand adjustment method.

[0067] By the steps shown above, it becomes possible to provide renewable energy to deficit renewable energy consumers while fulfilling the renewable energy utilization targets of other consumers.

[0068] In the processing example of FIG. 6, only consumers with surplus renewable energy are selected as the adjustment targets. In other examples, consumers who attach importance to economic advantages through the sale of renewable energy may be assumed, and demand adjustment for consumers with no surplus renewable energy relative to the target may be planned. In this case, it is possible to respond by changing the condition of whether there is surplus renewable energy in steps S6 and S7 to whether renewable energy can be provided.

[0069] FIG. 7 shows an image of the annual renewable energy target achievement rate. The annual unit target surplus / deficit Yt described in step S2 of FIG. 6 will be explained using FIG. 7.

[0070] The X-axis in Figure 7 represents each month from January to December, and the Y-axis represents the renewable energy consumption. As shown in the figure, the solid line indicates the procurement performance of the certificates, and the dashed line indicates the procurement target (procurement plan) of the certificates. The figure shows a case where a fixed amount of certificates is procured every month, but a plan to procure them quarterly or in a lump sum in December may also be adopted. In the example shown in the figure, the actual procurement performance of the certificates does not match the procurement plan. The total amount of the shaded part indicated as Yt shows the excess or deficiency of the certificate procurement performance with respect to the certificate procurement target.

[0071] Therefore, the achievement rate can be indicated by the ratio of the procurement performance to the target value at the time of calculation. In the case shown in Figure 7, since the current procurement amount exceeds the target, it can be exemplified that the achievement rate is 110%. This achievement rate is managed in column 2484 of the renewable energy utilization management table 2480 shown in Figure 5.

[0072] Figure 8 shows an image of the time unit renewable energy target achievement rate. Using Figure 8, the time unit excess or deficiency Ht and the time unit target excess or deficiency HGt described in step S2 of Figure 6 will be explained.

[0073] The X-axis in Figure 8 represents each month from January to December, and the Y-axis represents the value obtained by summarizing the time unit renewable energy target achievement rates for each time period on a monthly basis. The time unit 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 to the power consumption in a certain time period. Let the excess or deficiency of renewable energy consumption and certificate amortization for each time period be Ht with respect to the target amount Tt of renewable energy utilization for each time period. The target amount Tt of renewable energy utilization is the product of the power consumption in the time unit and the target value of renewable energy utilization in the time unit. The current achievement rate can be expressed by the following formula. Σ(Tt + Ht) / ΣTt

[0074] The achievement rate for each month shown in Figure 8 can also be calculated according to the above formula. The time unit target excess or deficiency HGt is obtained by subtracting the power consumption in the time unit from the time unit target amount (Tt).

[0075] Note that the total power consumption at the current time is managed in column 2485 of the renewable energy utilization management table 2480 shown in FIG. 5. The renewable energy utilization amount per unit time (Σ(Tt + Ht)) at the current time is in column 2486, and the degree of goal achievement (Σ(Tt + Ht) / ΣTt) at the current time is in column 2487.

[0076] FIG. 9 is an example of presenting an action plan related to demand control visualized by the visualization program 2475. The GUI 9000 is an example of a screen presented by the renewable energy rearrangement program 2470 to the users AC2050 and RA1500. The GUI 9000 includes contact information for customers with insufficient renewable energy and information on the content of demand adjustment to other customers for borrowing the insufficient renewable energy. In addition, the GUI 9000 includes interfaces for contacting the customers with insufficient renewable energy and other customers with the respective information.

[0077] The left section 9100 of the GUI shows a list of the set of customers and power generation companies managed by the user and their composition. The left section 9100 can display units capable of trading power and certificates. In the example of FIG. 9, it can be confirmed that there are supply - demand adjustable groups BG1 and BG2, and the group BG2 includes customers D1, D2, and D3.

[0078] The upper section 9200 of the GUI shows the predicted results of the daily renewable energy supply for the customer selected in the left section 9100. In this example, customer D1 is selected. The chart 9210 shows that there is a time period when the supply prediction (shown by the solid line) is insufficient compared to the demand prediction (shown by the dashed line), and the specific content is described on the left side of the chart 9210. It is shown that the renewable energy is insufficient by 10 MW from 14:00 to 15:00 and by 5 MW from 15:00 to 16:00.

[0079] The GUI lower right section 9500 shows the content of demand adjustment requested from other consumers to procure the insufficient renewable energy. Table 9510 shows the demand adjustment plan created by the renewable energy rearrangement program 2470. Column 9511 shows the ID of other consumers, and column 9512 shows the actions requested of the consumers.

[0080] Column 9513 shows the supply and demand results of the deficit consumer due to the actions of other consumers. Column 9514 shows the response results from other consumers to the action requests. Initially, column 9514 is blank. Column 9515 shows the cost for requests to other consumers. For example, a unit price is set in advance for each consumer, and the cost can be calculated based on the unit price and the amount of electricity sold. The cost is useful for determining whether to make a request.

[0081] Button 9560 enables the user to click and contact whether to pay the displayed cost to request demand adjustment from other consumers for consumer D1 with insufficient renewable energy. Button 9570 enables the user to click and request demand adjustment from other consumers. The acceptance / rejection result of the request is displayed in column 9514.

[0082] Note that the present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail for easy understanding of the present invention and are not necessarily limited to those having all the configurations described. Also, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, for a part of the configuration of each embodiment, addition, deletion, or replacement with other configurations is possible.

[0083] In addition, some or all of the above-described components, functions, processing units, etc. may be implemented in hardware, for example, by designing them in an integrated circuit or the like. Also, the above-described components, functions, etc. may be implemented in software by a processor interpreting and executing programs that realize their respective functions. Information such as programs, tables, and files that realize each function can be stored in a memory, a recording device such as a hard disk or an SSD (Solid State Drive), or a recording medium such as an IC card or an SD card.

[0084] Also, control lines and information lines show those considered necessary for explanation, and not necessarily all control lines and information lines are shown on the product. In reality, it may be considered that almost all components are interconnected.

Description of Reference Numerals

[0085] 1000…VPP, 1500…RA, 2000…RMS, 3000…D, 3050…EMS

Claims

1. A system for adjusting the supply and demand of renewable energy among a plurality of consumers, comprising: an arithmetic unit; a storage device, wherein the use of the renewable energy is certified by a certificate, the storage device stores management information including information on the renewable energy utilization targets for different unit periods of each of the plurality of consumers, the arithmetic unit determines other consumers who can lend renewable energy to consumers with insufficient demand for renewable energy at a specific time, and determines, with reference to the management information, an action plan for the other consumers, which includes selling electricity of the renewable energy to the consumers with insufficient demand and consists of one or more actions among the selling of electricity, certificate purchase, and charging, based on the achievement degrees of the renewable energy utilization target values for different unit periods of the other consumers.

2. The system according to claim 1, wherein the other consumers who can lend the renewable energy are consumers who can have surplus renewable energy with respect to the renewable energy utilization target value at the specific time.

3. The system according to claim 1, wherein the management information includes information on the battery charge amounts of each of the plurality of consumers, and the arithmetic unit determines the action plan for the other consumers with reference to the management information based on the battery charge amounts of the other consumers and the achievement degrees of the renewable energy utilization target values for different unit periods.

4. The system according to claim 3, wherein the other consumers who can lend the renewable energy are consumers who can have surplus renewable energy with respect to the renewable energy utilization target value at the specific time, and the arithmetic unit identifies the consumers with insufficient demand and the other consumers based on the power demand prediction, renewable energy supply plan, and battery charge amount prediction of the plurality of consumers.

5. The system according to claim 1, wherein the renewable energy utilization target includes a renewable energy utilization target value for a first unit period and a renewable energy utilization target value for a second unit period shorter than the first unit period, and the action plan for other consumers whose renewable energy utilization target value for the first unit period is over-achieved consists of selling electricity.

6. The system according to claim 1, wherein the renewable energy utilization target includes a renewable energy utilization target value for a first unit period and a renewable energy utilization target value for a second unit period shorter than the first unit period, For other consumers whose renewable energy utilization target value in the second unit period is over-achieved, the action plan for them is a system consisting of the electricity sales and the certificate purchase.

7. The system according to claim 3, wherein the other consumers who can lend renewable energy are consumers who can have surplus renewable energy with respect to the renewable energy utilization target value at the specific time, and the action plan for other consumers who can have surplus renewable energy by charging the battery until the specific time is a system consisting of charging the battery and electricity sales, or charging the battery, electricity sales and certificate purchase.

8. The system according to claim 1, wherein the arithmetic unit presents information on the cost borne by the deficit consumers for the action plan together with the action plan.

9. A method for adjusting the supply and demand of renewable energy among a plurality of consumers, wherein the utilization of the renewable energy is certified by a certificate, the system stores management information including information on the renewable energy utilization targets with different unit periods for each of the plurality of consumers, and the method includes the system determining other consumers who can lend renewable energy to deficit consumers whose renewable energy is insufficient at a specific time, and determining, with reference to the management information, an action plan for the other consumers consisting of one or more actions among the electricity sales, certificate purchase and charging, based on the achievement degrees of the renewable energy utilization target values with different unit periods of the other consumers, including selling electricity of the renewable energy to the deficit consumers.

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