Power procurement plan creation system, power procurement plan creation method, trading system, and program

Abstract

To provide a power procurement planning system, etc. for creating an appropriate power procurement plan.SOLUTION: A power procurement planning system 100 provided herein comprises a control unit 20 configured to make display means 40 display a power procurement plan created with a combination of sources selected from among multiple supply procurement sources, or power supply sources, on the basis of given evaluation indicators, where the evaluation indicators include stability indicative of how stably power is supplied to a demand side. The control unit 20 causes the stability to be displayed on a display screen of the power procurement plan.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a power procurement plan creation system and the like. [Background technology]

[0002] As a technology for supporting the creation of power procurement plans, for example, Patent Document 1 describes determining the amount of power to be procured from each procurement source based on "evaluation indicators including the power procurement cost, renewable energy ratio, or non-carbon ratio." [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-39699 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, when the demand side of electricity includes mobile objects such as electric vehicles, the actual power demand may easily deviate from the initial forecast value, depending on the operation, including the possibility of being affected by external events such as traffic congestion. Furthermore, in renewable energy power generation facilities such as solar power generation and wind power generation, the generated power (i.e., power supply) often fluctuates with changes in the weather. The technology described in Patent Document 1 does not particularly take into account such uncertainties in power demand and power supply, and there is room for improvement.

[0005] Therefore, an object of the present invention is to provide a power procurement plan creation system or the like that creates an appropriate power procurement plan. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems, the power procurement plan creation system according to the present invention includes a control unit that displays, on a display means, a power procurement plan for a combination selected from a plurality of supply procurement sources that are power supply sources based on a predetermined evaluation index, and the evaluation index includes a stability indicating the degree to which power is stably supplied to the demand side. the supply procurement sources include storage batteries, and the control unit creates the power procurement plan to allocate stable supply to important and stable demand among demands for power in a predetermined time period included in a predetermined planning period, and allocate power supply from the storage batteries to important and uncertain demand, the stable demand and the uncertain demand being calculated based on demand forecast data and actual demand data obtained when power demand was predicted in the past, and the control unit calculates the stable supply by multiplying a stability ratio for each of the supply procurement sources included in the plurality of supply procurement sources in the predetermined time period by a ratio of the predicted supply amount of power of the supply procurement source to the total, calculating the sum of the values for each of the plurality of supply procurement sources, and multiplying the sum by the predicted supply amount of power for the predetermined time period, the stability ratio being the ratio of the stably supplied portion of the predicted supply amount of power of the supply procurement source in the predetermined time period, and is calculated based on an average value of the actual supply amount of power of the supply procurement source and a standard deviation indicating a degree of variation of the actual supply amount of power relative to the predicted supply amount of power. It was decided that. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide a power procurement plan creation system and the like that creates an appropriate power procurement plan. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a functional block diagram including a power procurement plan creation system according to a first embodiment. [Figure 2] 3 is a display example of an input screen in the power procurement plan creation system according to the first embodiment. [Figure 3] 4 is a flowchart of the processing of a demand accuracy estimation unit included in the power procurement plan creation system according to the first embodiment. [Figure 4] FIG. 2 is an explanatory diagram showing an example of actual demand data in the power procurement plan creation system according to the first embodiment. [Figure 5] FIG. 2 is an explanatory diagram showing an example of changes in average demand and standard deviation in the power procurement plan creation system according to the first embodiment. [Figure 6] FIG. 2 is an explanatory diagram showing an example of demand forecast data in the power procurement plan creation system according to the first embodiment. [Figure 7] 4 is a flowchart of the processing of a supply accuracy estimation unit included in the power procurement plan creation system according to the first embodiment. [Figure 8] FIG. 2 is an explanatory diagram showing an example of actual supply data in the power procurement plan creation system according to the first embodiment. [Figure 9] FIG. 2 is an explanatory diagram showing an example of supply forecast data in the power procurement plan creation system according to the first embodiment. [Figure 10]4 is a flowchart of the processing of a supply combination unit included in the power procurement plan creation system according to the first embodiment. [Figure 11] 4 is a flowchart of the processing of a plan creation unit included in the power procurement plan creation system according to the first embodiment. [Figure 12] 3 is an example of a display screen of a power procurement plan created by the power procurement plan creation system according to the first embodiment. [Figure 13] FIG. 10 is a functional block diagram including a power procurement plan creation system according to a second embodiment. [Figure 14] FIG. 10 is an explanatory diagram showing an example of demand forecast data in the power procurement plan creation system according to the second embodiment. [Figure 15] FIG. 10 is an explanatory diagram showing the chargeable time and charging timing of the battery of a mobile body in the power procurement plan creation system according to the second embodiment. [Figure 16] FIG. 10 is a configuration diagram including a power procurement plan creation system and a trading system according to a third embodiment. [Figure 17] FIG. 11 is an explanatory diagram showing an example of division of an amount of power in a power procurement plan creation system and a trading system according to a third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] First Embodiment <Configuration of the power procurement plan creation system> FIG. 1 is a functional block diagram including a power procurement plan creation system 100 according to the first embodiment. The power procurement plan creation system 100 is a system that presents a future power procurement plan to a user based on a predetermined combination selected from a plurality of supply procurement sources (power generation facilities and storage batteries; not shown).

[0010] The supply procurement sources may include renewable energy power generation facilities such as solar power generation and wind power generation, as well as cogeneration systems using fossil fuels, hydroelectric power generation facilities, nuclear power generation facilities, etc. The supply procurement sources may also include storage batteries (not shown). Consumers receiving power from the supply procurement sources may include, for example, office buildings and commercial facilities, as well as industrial facilities, ordinary households, and charging systems for electric vehicles.

[0011] As shown in Fig. 1, the power procurement plan creation system 100 includes a storage unit 10 and a control unit 20. Although not shown, the storage unit 10 is configured to include non-volatile memory such as a read-only memory (ROM) or a hard disk drive (HDD), and volatile memory such as a random access memory (RAM) or a register. The storage unit 10 stores predetermined programs in advance, and also stores data related to power demand and power supply as appropriate.

[0012] The control unit 20 is, for example, a CPU (Central Processing Unit), and executes predetermined processing by reading out a program stored in the non-volatile memory of the storage unit 10 and expanding it into a volatile memory. As a functional configuration for such processing, the control unit 20 includes a plan input unit 21, a demand accuracy estimation unit 22, a supply accuracy estimation unit 23, a supply combination unit 24, a plan creation unit 25, and a display control unit 26, all of which are shown in FIG.

[0013] The plan input unit 21 accepts input of a predetermined plan period to be covered by the power procurement plan and predetermined evaluation indices to be used in creating the power procurement plan, based on a user's operation of the input means 30. Note that, for example, a keyboard (not shown) or a mouse (not shown) is used as the input means 30 shown in FIG.

[0014] The demand accuracy estimation unit 22 classifies the predicted value of future power demand into stable power demand and uncertain power demand based on the planned value of future power demand and actual data of past power demand. Note that "stable" means that there is a high possibility that future power demand will be expected. Also, "uncertain" means that it is uncertain whether future power demand will be expected. The supply accuracy estimation unit 23 classifies the predicted value of the future amount of power supply into a stable amount of power supply and an uncertain amount of power supply based on the planned value of the future amount of power supply and actual data on the amount of power supply in the past. The supply accuracy estimation unit 23 performs this processing for each of the multiple power supply procurement sources. Note that, in the case of a renewable energy power generation facility, the planned value of the future amount of power supply may be the amount of power supply predicted based on future weather forecast data.

[0015] The supply combination unit 24 generates combinations of a plurality of supply procurement sources and calculates a predetermined evaluation index for each combination. Details of the evaluation index will be described later. The plan creation unit 25 extracts combinations of supply procurement sources from the supply combination unit 24 that satisfy the conditions of a predetermined evaluation index, and creates a future power procurement plan.

[0016] The display control unit 26 causes the power procurement plan created by the plan creation unit 25 to be displayed on the display means 40. The display means 40 may be, for example, a display of a computer (not shown). Alternatively, the display means 40 may be a display of a terminal device (not shown) such as a smartphone, mobile phone, or tablet. Next, the processing performed by each component of the power procurement plan creation system 100 will be explained in order.

[0017] FIG. 2 is a display example of the input screen R1 in the power procurement plan creation system (see also FIG. 1 as appropriate). The "Planning Period Setting" shown in FIG. 2 is used when a predetermined planning period is input based on a user's operation via the input means 30. In the example of FIG. 2, the start date and start time of the planning period are input in input fields F1 and F2 of the "Planning Period Setting" in this order. Furthermore, the end date and end time of the planning period are input in other input fields F3 and F4 of the "Planning Period Setting" in this order. The planning period may be, for example, one day or several days. Furthermore, the time resolution of the planning period can be changed arbitrarily, and may be, for example, one hour intervals, 30 minutes intervals, or some other time interval.

[0018] The "Evaluation Indicator Settings" shown in Figure 2 is used to input the evaluation indicators for the power procurement plan. In addition to the renewable energy ratio and cost shown in Figure 2, stability, which will be described later, is used as such evaluation indicators. The "renewable energy ratio" is the percentage of electricity supplied from renewable energy sources out of the total amount of electricity supplied to consumers (demand side) during a specified planning period. In the process of generating renewable energy, almost no greenhouse gases such as carbon dioxide are emitted. Therefore, the higher the renewable energy ratio, the greater the contribution to reducing greenhouse gas emissions.

[0019] The user enters the upper limit price they desire for the total electricity charges over the planning period in the "cost" input field shown in Figure 2. For example, the user may enter "cost" based on their own experience, or may refer to "estimated cost" or "average historical cost" when entering "cost."

[0020] The "estimated cost" shown in Fig. 2 is an estimated value of the electricity cost calculated based on the planning period and the renewable energy ratio. For example, the plan input unit 21 (see Fig. 1) predicts the amount of electricity demand of a consumer during a specified planning period, and calculates the amount of electricity from renewable energy and the amount of electricity from non-renewable energy included in this predicted value of the amount of electricity demand based on the set value of the renewable energy ratio (see Fig. 2). Furthermore, the plan input unit 21 calculates the "estimated cost" by multiplying the amount of electricity from renewable energy by an average unit price and by multiplying the amount of electricity from non-renewable energy by another average unit price, and then adding them up.

[0021] The "historical average cost" shown in Fig. 2 is the electricity cost calculated based on past historical data. For example, the plan input unit 21 (see Fig. 1) refers to past historical data, calculates an average cost based on historical data for dates corresponding to the planning period or dates close to the planning period, and displays the calculated average cost as the "historical average cost." Note that the planning period, renewable energy ratio, cost, and other values input by the user are stored in the storage unit 10 (see Fig. 1).

[0022] FIG. 3 is a flowchart of the process of the demand accuracy estimation unit (also see FIG. 1 as appropriate). 3, actual demand data indicating a history of past power demand is stored in the memory unit 10. In step S101, the control unit 20 causes the demand accuracy estimation unit 22 to read out the actual demand data from the memory unit 10.

[0023] FIG. 4 is an explanatory diagram showing an example of the demand result data D1. The actual demand data D1 shown in Fig. 4 is data showing the history of power demand at a specific consumer. The "forecast target date" and "forecast target time" shown in Fig. 4 indicate the date and time period for which power demand was forecast in the past. For example, for the time period from 00:00 to 0:30 on January 1, 2021, the forecast target time is shown as "00:30."

[0024] The "forecasted energy demand" shown in Figure 4 is a forecasted value of the energy demand for a specific consumer. The "actual energy demand" is an actual value of the energy demand for a specific consumer. For example, for the time period from 0:00 to 0:30 on January 1, 2021, the forecasted energy demand was 10 kWh, but the actual actual energy demand was 8 kWh. In addition to the weather for each time period, the actual demand data D1 also includes data indicating whether it is a weekday or weekend (Saturday, Sunday, public holiday, etc.).

[0025] Next, in step S102 of FIG. 3, the control unit 20 selects data for a predetermined period from the actual demand data D1 (see FIG. 4) using the demand accuracy estimation unit 22. For example, the control unit 20 selects data for the most recent three years from the actual demand data D1. Furthermore, from the data for the most recent three years, data that shares a common weekday / weekend classification or season with the target planning date (target planning period) specified by the user may be selected. Furthermore, from the data for the most recent three years, data that shares past weather with the predicted weather for the target planning date may be selected. In other words, the control unit 20 selects, from the actual demand data for a predetermined period in the past, data that shows power supply under conditions similar to those of the target planning date.

[0026] Next, in step S103 of Fig. 3, the control unit 20 calculates the average demand and standard deviation using the demand accuracy estimation unit 22. First, the control unit 20 calculates the average value of the actual energy demand in each time slot (i.e., average demand) using the data selected in step S102. To give a specific example, the control unit 20 extracts the actual energy demand in the time slot from 00:00 to 00:30 on Jan. 1, 2021, Jan. 2, 2021, ... from the data selected in step S102. Then, the control unit 20 calculates the average value of the actual energy demand in the time slot from 00:00 to 00:30.

[0027] Furthermore, the control unit 20 calculates the difference between the predicted energy demand and the actual energy demand for a time slot, for example, from 0:00 to 0:30, and calculates the standard deviation based on this difference. This standard deviation is a numerical value that indicates the degree of variation in the actual energy demand relative to the predicted energy demand. The control unit 20 calculates the average demand and the standard deviation for each time slot included in the planning period (for example, one day) set by the user.

[0028] FIG. 5 is an explanatory diagram showing an example of the transition of the average demand and the standard deviation. In Figure 5, the horizontal axis represents time, and the vertical axis represents power demand. Curve C1 in Figure 5 shows the trend in average demand. The upper curve C2 is a curve obtained by adding +2σ (σ: standard deviation) to the hourly average demand. The lower curve C3 is a curve obtained by subtracting 2σ (σ: standard deviation) from the hourly average demand. The area between these curves C2 and C3 is statistically an interval with a 95.4% confidence level. As shown in Figure 5, the average demand (curve C1) and standard deviation σ vary depending on the time period. Furthermore, the standard deviation σ increases as the uncertainty (variation) in the actual power demand relative to the predicted power demand increases.

[0029] Returning to FIG. 3 again, the explanation will be continued. After calculating the average demand and standard deviation in step S103, the control unit 20 calculates stable demand and uncertain demand using the demand accuracy estimation unit 22 in step S104. As described above, the average demand (curve C1: see FIG. 5) and standard deviation σ are calculated based on data that is common to the future planning period, such as seasons, predicted weather, weekdays / holidays, etc. Therefore, even in the future planning period, it is highly likely that the power demand will fluctuate within the area sandwiched between curves C2 and C3 in FIG. 5. Furthermore, it is highly likely that at least the value of curve C3 (average demand - 2σ) will be expected as the minimum power demand from moment to moment.

[0030] Therefore, in the first embodiment, the value (curve C3) obtained by subtracting 2σ from the average demand (curve C1: see FIG. 5) is defined as the "stable demand." Also, the difference in demand between curves C2 and C3 shown in FIG. 5 is defined as the "uncertain demand." The control unit 20 calculates the "stable demand" and the "uncertain demand" for the power demand in each time slot included in the planning period (S104).

[0031] FIG. 6 is an explanatory diagram showing an example of the demand forecast data D2. The demand forecast data D2 shown in Fig. 6 is data indicating predicted values of power demand in the future (e.g., 2022) beyond the time (e.g., 2021) when the power procurement plan is created, and is stored in the storage unit 10 (see Fig. 1). In the example of Fig. 6, for a specific consumer identified by a consumer ID, the forecast target date, forecast target time, predicted power demand amount for each time period, predicted weather, and weekday / weekend distinction are associated.

[0032] In step S105 of FIG. 3, the control unit 20 divides the demand forecast value (the forecasted amount of demand power for each time slot) into a stable portion and an uncertain portion using the demand accuracy estimation unit 22. For example, assume that the forecasted amount of demand power for a specific time slot is value A. If this value A is greater than the "stable demand" based on past actual demand data (curve C3: see FIG. 5), the control unit 20 defines the portion of the forecasted amount of demand power that is occupied by the "stable demand" as the "stable portion," and the portion that exceeds the "stable demand" as the "uncertain portion." Here, the "stable portion" refers to the portion of the forecasted amount of demand power that is likely to occur. Furthermore, the "uncertain portion" refers to the portion of the forecasted amount of demand power that is uncertain as to whether or not the demand will occur.

[0033] Furthermore, for example, when the value A of the predicted energy demand is equal to or less than the "stable demand" (curve C3: see FIG. 5), the control unit 20 determines the entire value A of the predicted energy demand to be the "stable portion." This is because, as described above, when past actual demand data is taken into consideration, there is a high possibility that "stable demand" will occur.

[0034] 6, the predicted power demand amount from 00:00 to 00:30 on January 1, 2022 (the prediction target time is 00:30) is 10 [kWh]. For example, if the "stable demand" from 00:00 to 00:30 is 8 [kWh] based on past actual demand data, the control unit 20 calculates 8 [kWh] of the predicted power demand amount of 10 [kWh] as the "stable portion" and the remaining 2 [kWh] as the "uncertain portion." Furthermore, if the "stable demand" from 0:00 to 0:30 is 11 [kWh] based on past demand performance data, the control unit 20 will classify the entire 10 [kWh] predicted power demand amount as the "stable portion." In this way, the control unit 20 divides the predicted power demand amount into a "stable portion" and an "uncertain portion" for each time period included in the planning period (S105 in FIG. 3).

[0035] FIG. 7 is a flowchart of the processing of the supply accuracy estimation unit (also see FIG. 1 as appropriate). At the time of "START" in FIG. 7, it is assumed that supply record data indicating the history of power supply from each supply and procurement source is stored in the storage unit 10 (see FIG. 1). In step S201, the control unit 20 selects a predetermined power supply procurement source using the power supply accuracy estimation unit 23. Note that a plurality of power supply procurement sources that are candidates for creating a power procurement plan are set in advance. Next, in step S202, the control unit 20 causes the supply accuracy estimation unit 23 to read out the supply record data from the storage unit 10.

[0036] FIG. 8 is an explanatory diagram showing an example of the supply record data D3. The actual supply data D3 shown in Fig. 8 is data showing the history of power supply from a predetermined supply procurement source to a consumer. In the example of Fig. 8, for a predetermined supply procurement source identified by a supplier ID, a forecast target date, a forecast target time, a forecasted amount of power supply in each time period, and an actual amount of power supply are associated with each other.

[0037] In step S203 of Fig. 7, the control unit 20 selects data for a predetermined period from the supply history data D3 using the supply accuracy estimation unit 23. For example, the control unit 20 selects data for the most recent three years from the supply history data D3. Note that the predetermined period (for example, the most recent three years) may be the same as or different from the period when data for the predetermined period is selected from the demand history data (S102 of Fig. 3).

[0038] In step S204, the control unit 20 calculates the average supply and standard deviation using the supply accuracy estimation unit 23. First, the control unit 20 calculates the average value of the actual supply amount of power in each time period (i.e., the average supply) using the data selected in step S203. Then, the control unit 20 calculates the difference between the predicted supply amount of power and the actual supply amount of power, and calculates the standard deviation based on this difference.

[0039] In step S205, the control unit 20 calculates stable supply and uncertain supply using the supply accuracy estimation unit 23. Here, "stable supply" refers to the portion of the amount of power supplied to the consumer from a specified supply procurement source that is likely to be supplied. Also, "uncertain supply" refers to the portion of the amount of power supplied to the consumer from a specified supply procurement source that is uncertain whether it will be supplied. The processing in step S205 is similar to the processing in step S104 related to power demand (see Figures 3 and 5), so a detailed description will be omitted.

[0040] FIG. 9 is an explanatory diagram showing an example of the supply forecast data D4. The supply forecast data D4 shown in Fig. 9 is data indicating a forecast value of power supply in the future (e.g., 2022) from the time when the power procurement plan is created (e.g., 2021), and is stored in the storage unit 10 (see Fig. 1). In the example of Fig. 9, a forecast target date, a forecast target time, a forecast power generation amount for each time period, and a power unit price are associated with a specific supply procurement source identified by a supplier ID.

[0041] In step S206 of FIG. 7, the control unit 20 divides the supply prediction value (predicted power generation amount) into a stable portion and an uncertain portion using the supply accuracy estimation unit 23. For example, if the value B of the predicted power generation amount for a predetermined time period is greater than the "stable supply" based on past power supply performance data, the control unit 20 defines the portion of the predicted power generation amount that is accounted for by the "stable supply" as the "stable portion," and the portion that exceeds the "stable supply" as the "uncertain portion." Here, the "stable portion" refers to the portion of the predicted power generation amount that is likely to actually be generated. The "uncertain portion" refers to the portion of the predicted power generation amount that is uncertain as to whether power generation will actually be performed.

[0042] On the other hand, if the predicted power generation amount value B is equal to or less than the "stable supply," the control unit 20 determines the entire predicted power generation amount value B as the "stable portion." As described above, this is because, taking into account past supply performance data, it is highly likely that a power generation amount equivalent to the "stable supply" will be obtained. In this way, the control unit 20 divides the predicted power generation amount into a "stable portion" and an "uncertain portion" for each time period included in the planning period (S206 in FIG. 7).

[0043] Next, in step S207, the control unit 20 calculates the stability ratio and the uncertainty ratio using the supply accuracy estimation unit 23. Here, the "stable ratio" is the ratio of the "stable portion" to the predicted power generation amount in a predetermined time slot. Also, the "uncertainty ratio" is the ratio of the "uncertain portion" to the predicted power generation amount in a predetermined time slot. For example, for the time slot from 7:30 to 8:00 on January 1, 2022 (the prediction target time is 8:00), the predicted power generation amount is 10 [kWh] (see FIG. 9). Of this predicted power generation amount, the "stable supply" is 6 [kWh] and the "uncertain supply" is 4 [kWh]. In this case, the control unit 20 sets the stability ratio to 0.6 and the uncertainty ratio to 0.4. The control unit 20 calculates the stability ratio and the uncertainty ratio for each time slot included in the planning period (S207).

[0044] In step S208, the control unit 20 determines whether or not there are other supply procurement sources using the supply accuracy estimation unit 23. If there are other supply procurement sources (S208: Yes), the processing of the control unit 20 returns to step S201. On the other hand, if there are no other supply procurement sources (S208: No), the control unit 20 ends the series of processes shown in FIG. 7 (END).

[0045] It should be noted that the plurality of supply procurement sources may include stable sources such as cogeneration systems and hydroelectric power generation. In such cases, the control unit 20 may also perform the processes of steps S201 to S207 for the stable supply procurement sources. Furthermore, for stable supply procurement sources, the control unit 20 may not particularly perform the processes of steps S201 to S207, and may instead set the stability ratio for each time period to 1.0 (all stable).

[0046] FIG. 10 is a flowchart of the processing of the supply combination unit (also see FIG. 1 as appropriate). At the time of "START" in FIG. 10, it is assumed that the processing by the supply accuracy estimation unit 23 (see FIG. 7) has been completed and the stability rate and uncertainty rate for each supply procurement source have been calculated. In step S301, the control unit 20 combines a plurality of supply procurement sources using the supply combination unit 24. That is, the control unit 20 combines a plurality of supply procurement sources so that the predicted amount of power demand (see FIG. 6) is satisfied for each time period included in the planning period. Then, the control unit 20 creates a plurality of combinations by appropriately changing the ratio of the amount of power supplied from each supply procurement source.

[0047] Specifically, if the predicted power demand for the time period from 0:00 to 0:30 is 10 kWh, the control unit 20 may, for example, set the power supply amount from a predetermined supply procurement source to 3 kWh and the power supply amount from another supply procurement source to 7 kWh. Furthermore, for example, the control unit 20 may set the power supply amount from a predetermined supply procurement source to 4 kWh and the power supply amount from another supply procurement source to 6 kWh, thereby generating another combination. In this way, the control unit 20 may create various combinations by appropriately changing the ratio of the power supply amounts in addition to combinations of multiple supply procurement sources.

[0048] Next, in step S302 of Fig. 10, the control unit 20 calculates an evaluation index for a predetermined combination. As described above, in the first embodiment, the renewable energy ratio, cost, and stability are used as evaluation indexes. The control unit 20 calculates the renewable energy ratio as the proportion of the amount of power supplied from renewable energy sources to the total amount of power supplied. The control unit 20 also calculates the cost (power cost) by multiplying the power unit price by the amount of power supplied and adding up the results for each time period.

[0049] When calculating the stability, the control unit 20 performs the calculation shown in the following formula (1) for each of the supply and procurement sources included in the combination in step S301. i Supply sourcing in k j Stability ratio St i And this supply procurement source k j The proportion of the total amount of electricity supplied is Pt i kj Multiply by and for this value, each supply procurement source k j Sum of i Calculate t i (i=1,2,3,...) is the time period when the planning period is divided into predetermined time intervals. j (j=1,2,3,···) is a symbol to distinguish between multiple supply procurement sources.

[0050]

number

[0051] The sum calculated in this way is SUMt i indicates the degree to which power is stably supplied from a plurality of power supply procurement sources during a predetermined time period. Then, the control unit 20 calculates the sum SUMt i The stability is calculated by multiplying the value of the "stable portion" (S105 in Fig. 3) of the predicted power demand for that time period by the value of the "stable portion" (S105 in Fig. 3) and then summing the results for each time period. Here, "stability" is a numerical value that indicates the degree to which power is stably supplied to consumers (demand side).

[0052] In step S303, the control unit 20 determines whether there are other combinations of supply procurement sources. If there are other combinations of supply procurement sources (S303: Yes), the control unit 20 returns to step S301. On the other hand, if there are no other combinations of supply procurement sources (S302: No), the control unit 20 ends the series of processes shown in FIG. 10 (END).

[0053] FIG. 11 is a flowchart of the process of the plan creation unit (also see FIG. 1 as appropriate). At the time of "START" in FIG. 11, it is assumed that the processing by the supply combination unit 24 (see FIG. 10) has been completed. In step S401, the control unit 20 extracts a combination of supply and procurement sources that satisfies a predetermined renewable energy ratio using the plan creation unit 25. That is, the control unit 20 extracts, from the combinations of supply and procurement sources (S301: see FIG. 10), those whose renewable energy ratios match the set value of the renewable energy ratio (see FIG. 2) received by the plan input unit 21. Note that if the number of combinations whose renewable energy ratios match the set value is less than a predetermined value, the control unit 20 extracts those whose renewable energy ratios are within a predetermined allowable range.

[0054] Next, in step S402, the control unit 20 extracts, from the combinations of supply and procurement sources, those that have the highest stability and whose cost (electricity cost) is equal to or less than a set value, by using the plan creation unit 25. Such a combination of supply and procurement sources is a combination that satisfies the conditions of the renewable energy ratio and cost (see FIG. 2) set by the user, and furthermore, has the highest stability.

[0055] 11, the plan creation unit 25 may extract the lowest-cost combination from among combinations of supply procurement sources that satisfy a predetermined renewable energy ratio. Then, the control unit 20 may selectively display on the display means 40 an electric power procurement plan with the combination with the highest stability from among the combinations of supply procurement sources, and another electric power procurement plan with the combination with the lowest power cost for a predetermined planning period. This makes it possible to present to the user a combination of supply procurement sources that prioritizes cost, without particularly considering stability.

[0056] Alternatively, instead of (or in addition to) the stability, the control unit 20 may calculate the difference in the amount of power between the demand side and the supply side. In this case, the control unit 20 first calculates the difference in the amount of power between the demand side and the supply side during a predetermined time period t i Forecasted power supply amount Sf ti The sum SUMt i By multiplying by , the stable supply in the future is ti Calculate.

[0057]

number

[0058] Then, the control unit 20 calculates the demand accuracy for each time period t calculated by the demand accuracy estimation unit 22 as shown in the following equation (3). i Stable demand in As ti (the stable portion of the demand forecast value) and the stable supply Is calculated by the planning unit 25 ti The difference between ΔAIs and ti Calculate.

[0059]

number

[0060] Such a difference ΔAIs ti By calculating the time period t i Difference ΔAIs ti In this case, the control unit 20 calculates the sum of the difference ΔAIs ti It is also possible to extract a combination in which the sum of the above is the smallest and the cost is equal to or less than a set value. Furthermore, the control unit 20 may also cause the display means 40 to display the stability as well. The greater the rate of uncertainty in the supply, the lower the unit price of electricity for that supply is likely to be, so it is possible to match the most stable supply to stable demand. Furthermore, since it is possible to match uncertain supply, which is likely to have a low unit price of electricity, to uncertain demand, there is an effect of reducing costs overall.

[0061] After performing the series of processes shown in Figure 11, the control unit 20 causes the display control unit 26 (see Figure 1) to display on the display means 40 (see Figure 1) the power procurement plan related to the combination of supply procurement sources extracted in step S402.

[0062] FIG. 12 is an example of a display screen R2 of a power procurement plan created by the power procurement plan creation system. The display control unit 26 (see FIG. 1) displays the renewable energy ratio, cost, and stability values as evaluation indicators for the combination of supply and procurement sources extracted in step S402 (see FIG. 11) on the display screen R2 of the power procurement plan. The display control unit 26 also displays the moment-to-moment changes in the power supply for the combination of supply and procurement sources as a supply graph G1 and a segment graph G2. In this way, the control unit 20 performs processing to display on the display means 40 the power procurement plan (supply graph G1 and segment graph G2 in the example of FIG. 12) for a combination selected based on predetermined evaluation indicators from among multiple supply and procurement sources that are power supply sources.

[0063] Supply graph G1 shown in Figure 12 shows the trend in the power supply (total amount) at each time for the combination of supply procurement sources extracted in step S402 (see Figure 11). Also, segment graph G2 shown in Figure 12 is a line that separates the two supply procurement sources. In this way, the control unit 20 causes the display means 40 (see Figure 1) to display, as a power procurement plan, supply graph G1 that shows the trend in the power supply to consumers (demand side) over a specified planning period, and segment graph G2 that shows the proportion of the power supply from each of the multiple supply procurement sources to the value of supply graph G1.

[0064] For example, a first region K1 sandwiched between the supply graph G1 and the segment graph G2 and a second region K2 having a lower power value than the segment graph G2 may be displayed in different colors. This makes it easier for the user to understand the trends in the power supply from each supply procurement source to a specific consumer. Note that while FIG. 12 shows an example in which the supply graph G1 and the segment graph G2 are displayed as line graphs, they may also be displayed in other formats such as bar graphs or numerical values.

[0065] Furthermore, for a single supply procurement source, the stability ratio of the supply procurement source often has a different value at each time. Therefore, the display control unit 26 (see FIG. 1) may display the supply procurement source in each of the first area K1 and the second area K2 in different colors according to the level of the stability ratio. This allows the user to understand at a glance how the stability ratio changes.

[0066] <Effects> According to the first embodiment, a combination of power supply and procurement sources is extracted based on factors such as stability, which indicates the degree to which power can be stably supplied to consumers. This allows the user to be presented with a power procurement plan that enables a stable supply of power to consumers, even when there is uncertainty in power demand or power supply (the actual measured value may deviate from the predicted value). As a result, it becomes possible to create a power procurement plan that reduces emissions of greenhouse gases such as carbon dioxide, thereby contributing to society.

[0067] Furthermore, according to the first embodiment, a combination of supply procurement sources is extracted that satisfies the renewable energy ratio and cost conditions set by the user, and is presented to the user as a power procurement plan, thereby improving usability for the user.

[0068] Second Embodiment The second embodiment differs from the first embodiment in that the power procurement plan creation system 100A (see FIG. 13) performs predetermined processing based on the importance of each facility of the consumer. The second embodiment also differs from the first embodiment in that the power procurement plan creation system 100A (see FIG. 13) includes a demand pattern generation unit 27 (see FIG. 13). Note that the other configurations are the same as those of the first embodiment (see FIG. 1). Therefore, only the parts that differ from the first embodiment will be described, and a description of the overlapping parts will be omitted.

[0069] FIG. 13 is a functional block diagram including a power procurement plan creation system 100A according to the second embodiment. The control unit 20A of the power procurement plan creation system 100A shown in Figure 13 includes a plan input unit 21, a demand accuracy estimation unit 22, a supply accuracy estimation unit 23, a supply combination unit 24, a plan creation unit 25, a display control unit 26, and a demand pattern generation unit 27.

[0070] The demand accuracy estimation unit 22 divides the predicted power demand amount for each facility of the consumer into a “stable portion” and an “uncertain portion.” The “facility” is a predetermined facility whose power demand amount for each time period can be predicted, such as an air conditioning facility or a server in an office building.

[0071] It is not necessary to target all of the facilities of a consumer. For example, facilities for which the power demand cannot be predicted because the power is not measured may be grouped together as "other" facilities. In addition, mobile objects (not shown) such as electric vehicles may also be included in the facilities of a specific consumer. The following describes the case where mobile objects are included in the facilities of a consumer.

[0072] For mobile objects (not shown), a predetermined chargeable time is set in advance as a time period during which the battery (not shown) can be charged. For example, if the chargeable time is 12:00 to 17:00, the time period during which the battery is charged can be changed as appropriate as long as it is included in this chargeable time period. In other words, a manager or the like can adjust the timing at which the battery is actually charged within the chargeable time period. In this way, for equipment (such as mobile objects) whose charging schedule can be changed, when predicting its power demand, the chargeable time period (see FIG. 14) is used instead of the target prediction time.

[0073] In the second embodiment, an "importance" indicating whether or not it is necessary to supply power to a facility during a certain time period is used as an index indicating the priority of power supply. For example, even for the same facility, there may be an "important" time period during which it is necessary to supply power, and a "non-important" time period during which it is not particularly necessary to supply power. The supply procurement sources include a storage battery (not shown) that is charged with electricity generated by renewable energy sources, cogeneration systems, or the like.

[0074] FIG. 14 is an explanatory diagram showing an example of demand forecast data D5 in the power procurement plan creation system according to the second embodiment. In the example of Fig. 14, a predetermined facility ID and facility type are stored in advance in the storage unit 10 (see Fig. 13) in association with a consumer ID. In addition, the target date for predicting power demand and the available charge time, as well as the charge amount, importance ("important" or "unimportant"), charging power, predicted weather, and weekday / weekend distinction are stored in the storage unit 10 (see Fig. 13) as demand prediction data.

[0075] The charge amount of a mobile object (not shown) is divided into a required charge amount and an excess charge amount. The required charge amount is a preset lower limit value of the State of Charge (SoC) of the mobile object's battery to prevent it from falling below a specified value. The excess charge amount is the value obtained by subtracting the required charge amount from the battery's charge amount. Regarding the importance of power supply, the required charge amount is classified as "important" and the excess charge amount is classified as "unimportant."

[0076] The demand pattern generation unit 27 shown in FIG. 13 generates a plurality of demand patterns by taking the sum of the facility demand forecast values Dfi (where i corresponds to the facility: i=0, 1, 2, 3, . . .). The facility demand forecast value Dfi is the predicted amount of power demand in each time period at the facility of the consumer. When calculating the facility demand forecast value Dfi, the demand pattern generation unit 27 first calculates the sum of the facility demand forecast value Dfi of each facility other than a facility equipped with a battery (for example, a mobile object) for each time period included in the planning period.

[0077] Next, the demand pattern generation unit 27 generates a plurality of charging patterns for the equipment equipped with a battery. That is, the demand pattern generation unit 27 generates a plurality of charging patterns with different charging timings within the chargeable time of the mobile object.

[0078] FIG. 15 is an explanatory diagram showing the chargeable time of the battery of a mobile object and the charging timing. The horizontal axis of Fig. 15 represents time, and the vertical axis represents charging power to the battery. As shown in Fig. 15, in addition to a first charging pattern P1 in which charging is performed during a time slot from time t11 to t12 within a predetermined chargeable time, there are also a second charging pattern P2 and a third charging pattern P3 in which charging is performed during other time slots. In this way, demand pattern generation unit 27 generates a plurality of charging patterns and calculates a facility demand forecast value Dfi for each time slot for each charging pattern.

[0079] Then, the demand pattern generation unit 27 generates a demand pattern by taking the sum of the facility demand forecast value Dfi of the mobile object etc. equipped with a battery and the facility demand forecast value Dfi of each of the remaining facilities for each time period included in the planning period. Note that, since there are multiple battery charging patterns, multiple demand patterns showing the transition of the overall predicted amount of demanded power of the consumers are also generated.

[0080] As described above, the demand accuracy estimation unit 22 divides the predicted amount of power demand for each facility of the consumer into a "stable portion" and an "uncertain portion." Furthermore, data on "important" or "unimportant" is associated with the demand for each facility (see FIG. 14). Based on these four pieces of attribute information, the demand pattern generation unit 27 classifies the amount of power demand for the facility in each time period as follows: That is, the demand pattern generation unit 27 identifies whether the amount of power demand for the facility in each time period corresponds to "stable and important," "stable and unimportant," "uncertain and important," or "uncertain and unimportant," and calculates the amount of power for each attribute.

[0081] The processing of the supply combination unit 24 shown in Fig. 13 is the same as that in the first embodiment. However, since there are multiple demand patterns, the supply combination unit 24 creates combinations of supply and procurement sources in association with each demand pattern.

[0082] As in the first embodiment, the plan creation unit 25 identifies a predetermined supply combination based on, for example, three evaluation indexes of renewable energy ratio, cost, and stability, and creates a future power procurement plan. Explaining in more detail, the plan creation unit 25 generates multiple demand patterns for the predetermined supply combination and calculates the stability for each demand pattern.

[0083] Furthermore, the plan creation unit 25 may perform the following process, taking into consideration the importance of the demand as well as the stability of the demand and supply of electricity. That is, the plan creation unit 25 may perform the following process, taking into consideration the importance of the demand that falls under the category of "stable and important": i Equipment demand forecast value Dft i "Stable and important" demand As included in ti and stable supply IS ti The difference between ΔAfIs and ti In addition, stable supply IS ti is calculated based on the formula (2) explained in the first embodiment.

[0084]

number

[0085] For the "uncertain and important" demand, the plan creation unit 25 performs the following process. i In the above, the supply ratio SUMBt from the storage battery (not shown) in the predetermined supply combination i and the predicted power supply amount Sf ti By multiplying this by , the power supply from the storage battery Ibs ti As described above, the storage battery (not shown) is a secondary battery that is charged with power generated by renewable energy or a cogeneration system, and is different from a battery (not shown) provided in a mobile object or the like on the demand side.

[0086]

number

[0087] Then, the plan creation unit 25 calculates the time period t i Equipment demand forecast value Dft i As included in the "uncertain and important" demand ti and power supply from the storage battery Ibs ti The difference between ΔAIbs and ti Calculate.

[0088]

number

[0089] Next, the plan creation unit 25 calculates the difference ΔAfIs based on the formula (4). ti and the difference ΔAbIs based on Eq. (6) ti The sum of and is calculated for each time period included in the planning period, and then the sum is calculated for each time period. The plan creation unit 25 may extract the combination for which this sum (the sum for each time period) is minimum and the cost is equal to or less than a set value. In other words, the control unit 20A creates a power procurement plan such that, among the power demands during a predetermined time period included in the planning period, stable supply is allocated to important and stable demand, and power supply from a storage battery (not shown) is allocated to important and uncertain demand. Creating such a power procurement plan makes it possible to meet supply to "uncertain and important" demand as well as "stable and important" demand. Note that stable demand and uncertain demand are calculated based on demand forecast data and actual demand data used when forecasting power demand in the past. The control unit 20 may also display the stability on the display means 40.

[0090] <Effects> According to the second embodiment, a power procurement plan is created based on data indicating whether a consumer's facility is important or non-important. This allows, for example, a stable power supply to be allocated to "stable and important" demand, and power supplied from a storage battery (not shown) to be allocated to "uncertain and important" demand, thereby creating a power procurement plan that allows a stable power supply to important demand.

[0091] Third Embodiment The third embodiment differs from the second embodiment in that a power procurement plan creation system 100A (see FIG. 16) is linked to a trading system 200 (see FIG. 16). The configuration of the power procurement plan creation system 100A is the same as that of the second embodiment (see FIG. 1). Therefore, only the parts that differ from the second embodiment will be described, and a description of the overlapping parts will be omitted.

[0092] FIG. 16 is a configuration diagram including a power procurement plan creation system 100A and a trading system 200 according to the third embodiment. The trading system 200 mediates transactions (buying and selling of the amount of electricity to be used in the future) between the electricity demand side and the electricity supply side, and also has the function of adjusting the electricity unit price. When an electricity transaction (agreement) is concluded between the demand side and the supply side, electricity is supplied to the consumer from a predetermined supply procurement source via a power transmission facility (not shown) and a power distribution facility (not shown), etc.

[0093] 16, the trading system 200 includes a supply division unit 51, a price setting unit 52, a trading management unit 53, a matching unit 54, and a storage unit 55. The trading system 200 also communicates with the power procurement plan creation system 100A in a predetermined manner. The supply dividing unit 51 divides the predicted amount of power supply from the power supply procurement source for each time period into a "stable portion" and an "uncertain portion," and further classifies them by type of power supply source. The process of dividing the predicted amount of power supply into a "stable portion" and an "uncertain portion" is the same as in the second embodiment. Furthermore, the power procurement plan creation system 100A may calculate each evaluation index based on the processing results of the supply dividing unit 51.

[0094] FIG. 17 is an explanatory diagram showing an example of division of the amount of power in the power procurement plan creation system. The horizontal axis in Fig. 17 represents time. The vertical axis in Fig. 17 represents the predicted supply power from a predetermined supply procurement source. For example, as shown in Fig. 17, the supply dividing unit 51 divides the time transition of the predicted supply power into a grid, and separates it into a stable portion E1 and an uncertain portion E2. This makes it possible to associate an electricity fee with each grid, for example, which makes it easier to standardize the calculation of electricity fees and the adjustment of electricity unit prices.

[0095] The price setting unit 52 shown in Fig. 16 adjusts the electricity unit price to a predetermined value based on desired price information from the electricity supplier, etc. The transaction management unit 53 transmits the adjusted electricity unit price to the electricity procurement plan creation system 100A via an interface (not shown) and a network (not shown) in sequence. The transaction management unit 53 also appropriately updates the amount of electricity to be supplied from each supply procurement source based on agreements between the electricity demand and supply sides. The matching unit 54 manages matching between other consumers and supply procurement sources based on bidding, etc.

[0096] The power procurement plan creation system 100A shown in FIG. 16 reflects data received from the trading system 200 in the power procurement plan. Specifically, the power procurement plan creation system 100A creates a power procurement plan after changing the power unit price (see FIG. 9) in the supply forecast data to the value newly received from the trading system 200. Note that the power procurement plan creation system 100A may create a power procurement plan so that, among the forecasted power supply amounts, uncertain power supply amounts (cheap power supply amounts) are supplied in larger quantities than the demand side. This makes it possible to stably supply the uncertain power supply amounts.

[0097] Furthermore, trading system 200 adjusts the electricity unit price based on the matching rate between the electricity demand side and the electricity supply side, and transmits the adjusted electricity unit price data to power procurement plan creation system 100A. Note that the "matching rate" is the value obtained by dividing the total amount of predicted electricity supply when the agreement (contract) between the electricity demand side and the electricity supply side is reflected during a specified planning period by the total amount of electricity that can be supplied to the demand side from multiple supply and procurement sources.

[0098] For example, the price setting unit 52 of the trading system 200 calculates an adjustment amount for the electricity unit price based on past actual supply data and historical data on the matching rate so as to maximize the change in the matching rate, and adds this adjustment amount to the previous electricity unit price. This allows the circulation of electricity supplies that have not yet been agreed upon on the electricity demand and supply sides to be promoted. The price setting unit 52 may also calculate a matching rate for stable supply and another matching rate for uncertain supply, and adjust the electricity price based on each matching rate.

[0099] <Effects> According to the third embodiment, the trading system 200 adjusts the electricity unit price based on the history of electricity demand and supply, thereby reducing the electricity imbalance (the difference between the amount of electricity demanded and the amount of electricity supplied) between the electricity demand side and the electricity supply side.

[0100] <<Variations>> The power procurement plan creation systems 100, 100A and trading system 200 according to the present invention have been described above in the various embodiments, but the present invention is not limited to these descriptions and various modifications can be made. For example, in each embodiment, the control unit 20 has been described as extracting a combination of supply procurement sources that meets a predetermined renewable energy ratio (S401 in FIG. 11), has the highest stability, and has a cost equal to or less than a set value (S402). However, this is not limited to this. That is, the control unit 20 may cause the display means 40 to display a power procurement plan for the combination with the highest stability. In this case, the renewable energy ratio and cost may be included in the evaluation index, or the renewable energy ratio and cost may not be included in the evaluation index. Furthermore, the stability calculation method shown in each embodiment is merely an example and is not limited to this.

[0101] Furthermore, for example, the control unit 20 may cause the display means 40 to display a power procurement plan for a combination of supply procurement sources that has a renewable energy ratio within a set range and is the most stable. Alternatively, for example, the control unit 20 may cause the display means 40 to display a power procurement plan for a combination of supply procurement sources that has the highest stability and whose power cost during a specified planning period is below a set value.

[0102] In addition, one or more of the renewable energy ratio, cost, and stability may be selected as evaluation indicators by the user operating the input means 30, and the control unit 20 may create a power procurement plan based on the selected evaluation indicators. In addition, in each embodiment, the case where the combination of supply and procurement sources is narrowed down to one set for the power procurement plan has been described, but this is not limited to this. For example, the control unit 20 may be configured to allow the selection of a power procurement plan based on the order of stability, and to display the power procurement plan based on the combination (combination of supply and procurement sources) corresponding to the stability selected by operation via the input means 30.

[0103] In addition, in each embodiment, the case where the proportion of the amount of power supplied in each time period (the proportion of the total amount of power supplied to the predetermined consumers) for each of the plurality of supply and procurement sources included in the predetermined combination is constant has been described, but this is not limited thereto. That is, the proportion of the amount of power supplied in each time period for each of the supply and procurement sources may be changed over time.

[0104] In the second embodiment, the mobile body equipped with a battery is described as an electric vehicle, but this is not limited thereto. For example, it may be a plug-in chargeable hybrid vehicle, or an electrically driven two-wheeled or three-wheeled vehicle. In addition to vehicles, each embodiment can also be applied to water, land, and air mobile bodies such as railway vehicles on non-electrified lines, ships, aircraft, and agricultural machinery. The aforementioned aircraft also includes unmanned aircraft and drones.

[0105] In the second embodiment, a case has been described in which a power procurement plan is created so that power is supplied to "stable and important" demand and "uncertain and important" demand, but this is not limiting. For example, without making a particular distinction between "important" and "unimportant," the control unit 20A (see FIG. 13) may create a power procurement plan so that a stable supply is allocated to stable demand and a supply of power from a storage battery is allocated to uncertain demand.

[0106] In addition, in the second embodiment, a case was described in which data of "important" or "unimportant" was used to indicate the importance of power supply to consumer equipment, but for example, the importance may be represented by a predetermined numerical value.

[0107] Furthermore, the embodiments may be combined as appropriate. For example, the first embodiment may be combined with the second embodiment, or the first embodiment may be combined with the third embodiment. Furthermore, the processes (such as the power procurement plan creation method) executed by the power procurement plan creation system 100 may be executed as a predetermined computer program. The program may be provided via a communication line, or may be written to a recording medium such as a CD-ROM and distributed.

[0108] Furthermore, each embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to having all of the described configurations. Furthermore, it is possible to add, delete, or replace some of the configurations of the embodiments with other configurations. Furthermore, the above-described mechanisms and configurations are those considered necessary for explanation, and do not necessarily represent all of the mechanisms and configurations of the product. [Explanation of symbols]

[0109] 10 Storage section 20,20A control section 21 Planning Input Section 22 Demand accuracy estimation unit 23 Supply Accuracy Estimation Unit 24 Supply combination section 25 Planning Department 26 Display control unit 27 Demand pattern generation unit 30 Input Methods 40 Display means 51 Supply splitting section 52 Pricing Department 53 Transaction Management Department 54 Matching section 55 Storage section 100,100A Power Procurement Planning System 200 Trading Systems G1 Supply Graph G2 Panel Graph R2 display screen

Claims

1. a control unit that displays, on a display means, a power procurement plan for a combination selected based on a predetermined evaluation index from a plurality of power supply procurement sources, which are power supply sources; The evaluation index includes stability, which indicates the degree to which power is stably supplied to the demand side; the supply procurement source includes a battery; the control unit creates the power procurement plan so as to allocate a stable supply to important and stable demands among demands for power in a predetermined time period included in a predetermined planning period, and allocate a supply of power from the storage battery to important and uncertain demands; The stable demand and the uncertain demand are calculated based on demand forecast data and actual demand data when electricity demand was forecasted in the past, the control unit calculates the stable supply by multiplying the stability rate of each of the plurality of supply procurement sources in the predetermined time period by the rate of the predicted power supply amount of the supply procurement source to the total, calculating the sum of the values of each of the plurality of supply procurement sources, and multiplying the sum of the values by the predicted power supply amount in the predetermined time period; A power procurement plan creation system, wherein the stability ratio is the proportion of the stably supplied portion of the predicted supply power amount of the supply procurement source during the specified time period, and is calculated based on the average value of the actual supply power amount of the supply procurement source and the standard deviation indicating the degree of variation of the actual supply power amount relative to the predicted supply power amount.

2. The control unit displays the stability on a display screen of the power procurement plan.

2. The power procurement plan creation system according to claim 1,

3. The control unit causes the display means to display the power procurement plan for the combination with the highest stability.

2. The power procurement plan creation system according to claim 1,

4. the control unit causes the display means to display the power procurement plan for a combination of the supply procurement sources in which a renewable energy ratio is within a set range and in which the stability is highest; The renewable energy ratio is the ratio of the amount of electricity from renewable energy sources to the total amount of electricity supplied to the demand side during a specified planning period.

4. The power procurement plan creation system according to claim 3,

5. The control unit causes the display means to display the power procurement plan for a combination of the supply procurement sources in which the power cost for a predetermined planning period is equal to or less than a set value and the stability is highest.

4. The power procurement plan creation system according to claim 3,

6. The control unit selectively displays on the display means the power procurement plan for a combination of the supply procurement sources with the highest stability and another power procurement plan for a combination with the lowest power cost for a predetermined planning period.

2. The power procurement plan creation system according to claim 1,

7. The control unit causes the display means to display, as the power procurement plan, a supply graph showing a transition of power supply to the demand side during a predetermined planning period, and a segment graph showing the proportion of power supply from each of the plurality of supply procurement sources to the value of the supply graph.

2. The power procurement plan creation system according to claim 1,

8. A trading system that communicates with the power procurement plan creation system according to any one of claims 1 to 7, The trading system adjusts the electricity unit price based on a matching rate between the electricity demand side and the electricity supply side; The matching rate is a value obtained by dividing the total amount of predicted power supply when the agreement between the power demand side and the power supply side is reflected during a specified planning period by the total amount of power that can be supplied to the demand side from the multiple supply procurement sources. A trading system characterized by:

9. The method includes a process in which the control unit displays, on a display means, a power procurement plan for a combination selected based on a predetermined evaluation index from a plurality of power supply procurement sources, which are power supply sources; The evaluation index includes stability, which indicates the degree to which power is stably supplied to the demand side; the supply procurement source includes a battery; the control unit creates the power procurement plan so as to allocate a stable supply to important and stable demands among demands for power in a predetermined time period included in a predetermined planning period, and allocate a supply of power from the storage battery to important and uncertain demands; The stable demand and the uncertain demand are calculated based on demand forecast data and actual demand data when electricity demand was forecasted in the past, the control unit calculates the stable supply by multiplying the stability rate of each of the plurality of supply procurement sources in the predetermined time period by the rate of the predicted power supply amount of the supply procurement source to the total, calculating the sum of the values of each of the plurality of supply procurement sources, and multiplying the sum of the values by the predicted power supply amount in the predetermined time period; A method for creating a power procurement plan, wherein the stability ratio is the proportion of the stably supplied portion of the predicted supply power amount of the supply procurement source during the specified time period, and is calculated based on the average value of the actual supply power amount of the supply procurement source and a standard deviation indicating the degree of variation of the actual supply power amount relative to the predicted supply power amount.

10. A program for causing a computer to execute the power procurement plan creation method according to claim 9.

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