Information processing device, information processing method, and information processing program

Abstract

To prevent the accuracy of calculating the sum of expected amount of electricity generated from decreasing as a period for calculating the sum of expected amount of electricity generated is longer.SOLUTION: An information processing apparatus includes: an insolation data acquisition unit which acquires insolation data related to past insolation amounts in multiple power generating stations each equipped with a solar power generator that receives solar light and generates electricity; an expected power generation amount calculation unit which calculates an expected amount of electricity generated by the solar power generator, based on the insolation data, for each of the power generating stations; a deviation calculation unit which calculates deviation of the expected amount of electricity generated calculated for each of the power generating stations; and a sum calculation unit which calculates the sum of the expected amount of electricity generated by the power generating stations, on the basis of the deviation and the expected amount of electricity generated calculated for each of the power generating stations.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] When considering the installation of a solar power generation device, it is important to predict the expected amount of power generation in the area where the solar power generation device will be installed.

[0003] For example, Patent Document 1 discloses a method for predicting the amount of power generated by a solar power generation system by region and by weather, which predicts the amount of power generated at any time interval using global solar radiation intensity calculated from atmospheric transmittance, direct solar radiation intensity, and diffuse solar radiation intensity, a solar cell operating temperature calculated from the global solar radiation intensity and a regional daily minimum temperature measured by a meteorological observatory, a solar cell operating temperature power generation amount calculated from the solar cell operating temperature, a DC power generation amount calculated from the operating temperature power generation amount, and an AC power generation amount calculated from the DC power generation amount.

[0004] Furthermore, Patent Document 2 discloses a method for predicting the amount of power generated by a photovoltaic power generation system in a photovoltaic power generation system prediction device, the method comprising the steps of: a step in which a solar radiation prediction formula deriving means derives a solar radiation prediction formula based on weather phenomena previously observed in the area where the photovoltaic power generation system is installed and solar radiation previously measured in the area; a step in which a solar radiation prediction calculation means predicts the amount of solar radiation in the area by inputting a weather forecast for a target prediction day or target prediction time period for the area and the amount of solar radiation measured in the area before the prediction execution time on the target prediction day into the solar radiation prediction formula; and a step in which a power generation prediction calculation means predicts the amount of power generated by the photovoltaic power generation system by inputting the predicted solar radiation and a temperature forecast for the target prediction day or target prediction time period for the area into a photovoltaic power generation system model capable of calculating the amount of power generated from information on the amount of solar radiation and the temperature. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 10-108486 [Patent Document 2] Japanese Patent Application Laid-Open No. 2006-33908 Summary of the Invention [Problem to be solved by the invention]

[0006] For example, there are cases where multiple small-scale power plants need to be evaluated collectively based on the sum of the expected power generation of the photovoltaic power generation equipment installed in the plants. In this case, the expected power generation for each power plant is calculated by statistically processing data on past solar radiation, and the simple sum of these is used for the evaluation.

[0007] When comparing the simple sum of expected power generation calculated in a relatively short time interval, such as monthly, with the simple sum of the measured values ​​of actual power generation, the difference is relatively small, but when comparing the simple sum of expected power generation with the simple sum of the measured values ​​of actual power generation in a relatively long time interval, such as ten years, the difference is relatively large. In other words, the longer the period for calculating the sum of expected power generation, the lower the calculation accuracy of the sum of expected power generation.

[0008] Therefore, the present invention aims to provide an information processing device, an information processing method, and an information processing program that can prevent the accuracy of calculating the total expected power generation from decreasing as the period for calculating the total expected power generation becomes longer. [Means for solving the problem]

[0009] The information processing device of the first aspect includes a solar radiation data acquisition unit that acquires solar radiation data relating to past solar radiation at each of a plurality of power plants in which solar power generation equipment that receives sunlight and generates electricity is installed; an expected power generation amount calculation unit that calculates an expected power generation amount of the solar power generation equipment for each of the plurality of power plants based on the solar radiation data; a deviation calculation unit that calculates a deviation of the expected power generation amounts calculated for each of the plurality of power plants; and a sum calculation unit that calculates a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants.

[0010] The information processing device of the second aspect is the information processing device of the first aspect, which calculates a weighted average of the expected power generation amounts of the multiple power plants using the power generation capacity of the solar power generation equipment of the multiple power plants as a weight, and calculates the deviation based on the calculated weighted average.

[0011] In a third aspect of the information processing method, a computer acquires solar radiation data relating to past solar radiation at each of a plurality of power plants in which solar power generation equipment that receives sunlight and generates electricity is installed, calculates an expected power generation amount of the solar power generation equipment for each of the plurality of power plants based on the solar radiation data, calculates a deviation of the expected power generation amount calculated for each of the plurality of power plants, and calculates a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants.

[0012] An information processing program of a fourth aspect causes a computer to execute a process of acquiring solar radiation data regarding past solar radiation at each of a plurality of power plants in which solar power generation equipment that receives sunlight and generates electricity is installed, calculating an expected power generation amount of the solar power generation equipment for each of the plurality of power plants based on the solar radiation data, calculating a deviation of the expected power generation amount calculated for each of the plurality of power plants, and calculating a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants. [Effects of the Invention]

[0013] According to the present invention, the longer the period for calculating the sum of expected power generation amounts, the more effectively the accuracy of the calculation of the sum of expected power generation amounts can be prevented from decreasing. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a diagram showing a schematic configuration of an information processing system according to an embodiment of the present invention; [Figure 2] 2 is a block diagram showing the hardware configuration of an information processing device and a power plant terminal according to the present embodiment. FIG. [Figure 3] FIG. 2 is a block diagram showing the configuration of a storage unit of the information processing device according to the present embodiment. [Figure 4] 1 is a block diagram illustrating an example of a functional configuration of an information processing device according to an embodiment of the present invention. [Figure 5] 10 is a flowchart showing the flow of a process for calculating the sum of expected power generation amounts performed by the information processing device according to the present embodiment. [Figure 6] This is a table showing the monthly compliance rate and the total expected power generation over a 10-year period for the actual measured value of the total power generation of multiple power plants, the total expected power generation calculated using the deviation-weighted average, the total expected power generation calculated using the simple deviation, and the total expected power generation calculated using the simple sum. DETAILED DESCRIPTION OF THE INVENTION

[0015] The information processing system 10 according to this embodiment will be described below.

[0016] The information processing system 10 according to this embodiment is a system for calculating the total expected power generation amount of photovoltaic power generation devices installed in a plurality of power plants.

[0017] In this embodiment, the photovoltaic power generation equipment is a low-voltage interconnected power generation equipment, but is not limited to this. That is, the photovoltaic power generation equipment may be a low-voltage interconnected power generation equipment with a power plant capacity of less than 50 kW, or a high-voltage interconnected power generation equipment with a power plant capacity of 50 kW or more.

[0018] FIG. 1 is a diagram showing a schematic configuration of an information processing system 10. As shown in FIG.

[0019] 1, the information processing system 10 includes an information processing device 20 and a plurality of power plant terminals 30. Each power plant terminal 30 is connected to a photovoltaic power generation device 40. The plurality of power plant terminals 30 and the photovoltaic power generation devices 40 are installed in different regions.

[0020] The information processing device 20 and the plurality of power plant terminals 30 are connected via a network N and are capable of communicating with each other.

[0021] The information processing device 20 is a server computer owned by a predetermined business operator. The information processing device 20 acquires solar radiation data relating to past solar radiation at each of a plurality of power plants where solar power generation devices 40 that receive sunlight and generate electricity are installed, calculates the expected power generation amount to be generated by the solar power generation devices 40 for each of the plurality of power plants based on the solar radiation data, calculates the deviation of the calculated expected power generation amount for each of the plurality of power plants, and calculates the sum of the expected power generation amounts of the plurality of power plants based on the calculated expected power generation amount and deviation for each of the plurality of power plants.

[0022] The power plant terminal 30 is a terminal owned by the power plant where the photovoltaic power generation equipment 40 is installed. The power plant terminal 30 transmits to the information processing device 20 past solar radiation data for the location where the photovoltaic power generation equipment 40 is installed.

[0023] Next, a description will be given of the hardware configuration of the information processing device 20 and the power plant terminal 30. Fig. 2 is a block diagram showing the hardware configuration of the information processing device 20 and the power plant terminal 30. Note that since the information processing device 20 and the power plant terminal 30 basically have a general computer configuration, the information processing device 20 will be described as a representative.

[0024] 2, the information processing device 20 includes a CPU 21 (Central Processing Unit), a ROM 22 (Read Only Memory), a RAM 23 (Random Access Memory), a storage unit 24, an input unit 25, a display unit 26, and a communication unit 27. Each component is connected to each other via a bus 28 so as to be able to communicate with each other.

[0025] The CPU 21 is a central processing unit that executes various programs and controls each part. That is, the CPU 21 reads programs from the ROM 22 or the storage unit 24 and executes the programs using the RAM 23 as a work area. The CPU 21 controls each of the above components and performs various arithmetic processing in accordance with the programs recorded in the ROM 22 or the storage unit 24.

[0026] The ROM 22 stores various programs and various data. The RAM 23 serves as a working area for temporarily storing programs or data.

[0027] The storage unit 24 is configured by a storage device such as a hard disk drive (HDD), a solid state drive (SSD), or a flash memory, and stores various programs and various data.

[0028] The input unit 25 includes a pointing device such as a mouse, a keyboard, a microphone, a camera, and the like, and is used to perform various inputs.

[0029] The display unit 26 is, for example, a liquid crystal display, and displays various information. The display unit 26 may function as the input unit 25 by adopting a touch panel system.

[0030] The communication unit 27 is an interface for communicating with other devices. For this communication, a wired communication standard such as Ethernet (registered trademark) or FDDI, or a wireless communication standard such as 4G, 5G, or Wi-Fi (registered trademark) is used.

[0031] FIG. 3 is a block diagram showing the configuration of the storage unit 24 of the information processing device 20. As shown in FIG.

[0032] 3, the storage unit 24 stores an information processing program 24A for causing the CPU 21 of the information processing device 20 to function as a functional configuration shown in Fig. 4, which will be described later. When executing the information processing program 24A, the information processing device 20 uses the hardware resources shown in Fig. 2 to perform processing based on the information processing program 24A.

[0033] Next, the functional configuration of the information processing device 20 will be described.

[0034] FIG. 4 is a block diagram showing an example of the functional configuration of the information processing device 20. As shown in FIG.

[0035] 4, the CPU 21 of the information processing device 20 has, as functional components, a solar radiation data acquisition unit 21A, an expected power generation amount calculation unit 21B, a deviation calculation unit 21C, and a sum calculation unit 21D. Each functional component is realized by the CPU 21 reading and executing an information processing program 24A stored in the storage unit 24.

[0036] The solar radiation data acquisition unit 21A acquires solar radiation data relating to past solar radiation at each of a plurality of power plants where photovoltaic power generation devices 40 that receive sunlight and generate electricity are installed. That is, it requests the power plant terminal 30 at each power plant to transmit past solar radiation data. In response to a request from the information processing device 20, each power plant terminal 30 transmits past solar radiation data for the location where the photovoltaic power generation device 40 is installed, for example, solar radiation data from the past 10 years or more, to the information processing device 20. The past solar radiation data may be acquired, for example, by accessing a database at the Japan Meteorological Agency observation station nearest to the power plant.

[0037] The expected power generation calculation unit 21B calculates the expected power generation amount to be generated by the photovoltaic power generation equipment for each of the multiple power plants based on the solar radiation data. Specifically, it calculates the expected power generation amount for each month from January to December, for example.

[0038] The deviation calculation unit 21C calculates the deviation of the expected power generation amount calculated for each of the multiple power plants. For example, it calculates the average value of the expected power generation amount calculated for each of the multiple power plants for each month, and calculates the difference between the calculated average value of the expected power generation amount for each month and each of the expected power generation amounts calculated for each of the multiple power plants as the deviation (simple deviation) for each power plant. Note that it is also possible to calculate the sum of the expected power generation amounts calculated for each of the multiple power plants for each month from January to December, i.e., the expected power generation amount for one year, and calculate the deviation of the calculated expected power generation amount for one year for each power plant.

[0039] In addition, the deviation calculation unit 21C may calculate a weighted average of the expected power generation amounts of the multiple power plants using the power generation capacities of the solar power generation equipment 40 of the multiple power plants as weights, and calculate the deviation (weighted average deviation) based on the calculated weighted average.

[0040] The sum calculation unit 21D calculates the sum of the expected power generation amounts of the multiple power plants based on the expected power generation amount and deviation calculated for each of the multiple power plants. For example, it calculates the sum of the expected power generation amounts at predetermined exceedance probabilities, such as 99% (P99), 95% (P95), 90% (P90), 85% (P85), 75% (P75), 50% (P50), etc.

[0041] Here, the exceedance probability refers to the probability that the actual power generation will exceed a certain amount of power generation (solar radiation). For example, P90 indicates that there is a 90% probability that the power generation (solar radiation) will exceed the expected power generation. Therefore, the expected power generation for P90 is lower than that for P50.

[0042] The total expected power generation amount at a predetermined exceedance probability can be calculated using a known method.

[0043] 5 is a flowchart showing the flow of the process of calculating the sum of expected power generation amounts as information processing performed by the information processing device 20. The CPU 21 reads out the information processing program 24A from the storage unit 24, loads it into the RAM 23, and executes it, thereby performing the process of calculating the sum of expected power generation amounts.

[0044] In step S100 shown in Fig. 5, the CPU 21 acquires solar radiation data relating to the amount of solar radiation in the past at each of a plurality of power plants where the solar power generation devices 40 are installed, for example, solar radiation data for the past 10 to 30 years. Because the amount of solar radiation is roughly linked to the amount of power generation, the expected amount of power generation can be calculated from the solar radiation data. Furthermore, the amount of solar radiation differs depending on the region where the solar power generation devices 40 are installed. For example, because the amount of solar radiation differs in each region, such as Hokkaido, Kansai, Kyushu, etc., the CPU 21 requests each power plant terminal 30 to transmit past solar radiation data for the solar power generation devices 40 installed in each region, and acquires the data.

[0045] In step S101, the CPU 21 calculates the expected amount of power generated by the photovoltaic power generation equipment for each of the plurality of power plants for each month from January to December based on the solar radiation data.

[0046] Specifically, assuming that the expected power generation amount is EP, the expected power generation amount EP can be calculated by, for example, the following equation (1).

[0047] EP=P AS ×H AS ×K T ×K×K M ×R ···(1)

[0048] where P AS is a value calculated by multiplying the nominal maximum output of the solar panels of the solar power generation device 40 under standard conditions by the number of solar panels. Note that the standard conditions are when the air mass, which is the amount of atmosphere through which sunlight passes before reaching the ground, is 1.5 and the solar radiation intensity is 1 kW / m 2 This refers to a state in which the temperature of the battery cells, which are the power generating elements inside the solar panel, is 25 degrees.

[0049] H AS is the inclined surface solar radiation, which is obtained from the historical solar radiation data obtained from each power plant.

[0050] K T is the temperature correction coefficient, which can be calculated using the following equation (2).

[0051] K T = 1 - 0.01 × T1(t - 25) (2)

[0052] where T1 is the temperature coefficient of the solar panel, and t is the temperature of the solar panel.

[0053] K is a temperature correction coefficient, which can be calculated using the following equation (3).

[0054] K=K st ×K sh ···(3)

[0055] where K st is the system loss correction factor. sh is the shadow and snow loss correction coefficient. st is a coefficient that combines multiple loss factors, such as dirt on the solar panels, deterioration of the solar panels over time, DC / AC conversion efficiency of the PCS (power conditioning system), and system loss (DC circuit loss, deviation of the maximum power point, etc.).This is because if a coefficient is individually set for each of the multiple loss factors and then multiplied, the discrepancy between the expected power generation amount EP and the actual measured power generation amount will become large.

[0056] K M is the power plant derating factor.

[0057] R is the availability factor of the power plant. For example, the standard availability factor is 0.995. This value assumes that the power plant will be shut down for less than 10 hours per year (on clear days) due to maintenance inspections and unexpected accidents.

[0058] In addition, taking into account peak shaving, if the expected power generation amount EP calculated by the above formula (1) exceeds the system capacity taking into account the power factor, the system capacity taking into account the power factor is used as the expected power generation amount EP.

[0059] In step S102, the CPU 21 calculates, for each month, the deviation (simple deviation) of the expected power generation calculated for each of the multiple power plants in step S101. Specifically, if the number of power plants is n (2≦n), the expected power generation EPi (i=1, 2, . . . , n) of the photovoltaic power generation devices 40 in the n power plants is calculated using the above formula (1). Next, the average value of the expected power generation EPi is calculated, and the difference between the calculated average value and the expected power generation EPi is calculated as the deviation Di for each month. The calculation of the deviation Di is performed for each month. Note that the deviation based on the sum of the expected power generation for one year may be calculated, and the calculated deviation may be applied to the deviation Di for each month. When the deviation is calculated for each year, the average value of the deviation for each year may be applied to the deviation Di for each month.

[0060] In step S103, the CPU 21 calculates the monthly sum of expected power generation of the multiple power plants at a predetermined exceedance probability based on the monthly expected power generation EPi calculated for each of the multiple power plants in step S101 and the monthly deviation Di calculated for each of the multiple power plants in step S102, and stores the calculated sum in the storage unit 24. Specifically, the CPU 21 calculates the standard deviation S based on the deviation Di. Then, the CPU 21 calculates the monthly sum T of expected power generation at the exceedance probability P for each of January to December based on the expected power generation EPi, the standard deviation S, and the exceedance probability P using the following equation (4). The CPU 21 stores the calculated monthly sum T of expected power generation in the storage unit 24.

[0061] T = f(EPi, S, P) (4)

[0062] Here, f(EPi, S, P) represents a formula for calculating the total expected power generation amount T using the expected power generation amount EPi, the standard deviation S, and the exceedance probability P as parameters, and a known formula can be used.

[0063] Then, the total expected power generation amount for one year is calculated by adding up all the totals of the expected power generation amount at the exceedance probability P calculated for each month from January to December. The CPU 21 stores the calculated total expected power generation amount for one year in the storage unit 24.

[0064] In this way, in this embodiment, the sum of the expected power generation amounts of the multiple power plants is calculated based on the expected power generation amount and deviation calculated for each of the multiple power plants. This makes it possible to prevent the accuracy of the calculation of the sum of the expected power generation amounts from decreasing as the period for calculating the sum of the expected power generation amounts becomes longer, compared to when the sum of the expected power generation amounts of the multiple power plants is calculated by simple summation.

[0065] In step S102, a weighted average of the expected power generation amounts EPi of the multiple power plants may be calculated using the power generation capacities of the photovoltaic power generation devices 40 of the multiple power plants as weights, and a deviation (weighted deviation average) may be calculated based on the calculated weighted average. Specifically, the weight is set to be larger the larger the power generation capacity, and the weighted average of the expected power generation amounts EPi of the multiple power plants is calculated. Then, the difference between the calculated average value and the expected power generation amount EPi is calculated as the deviation Di. As a result, the larger the power generation capacity of the photovoltaic power generation devices 40, the larger the deviation Di, and the sum of the expected power generation amounts is calculated taking the power generation capacity into consideration.

[0066] Figure 6 shows the actual measured value (kWh) of the total power generation amount over the past 10 years from 2012 to 2021 of solar power generation equipment 40 installed at power plants in three regions: Hokkaido, Kansai, and Kyushu; the total expected power generation amount (kWh) calculated using the deviation-weighted average described in this embodiment; the total expected power generation amount (kWh) calculated using the simple deviation described in this embodiment; the total expected power generation amount (kWh) calculated as a simple sum without using the deviation; the monthly conformance rate between the actual measured value of the total power generation amount and the total expected power generation amount calculated using the deviation-weighted average; the monthly conformance rate between the actual measured value of the total power generation amount and the total expected power generation amount calculated using the simple deviation; and the monthly conformance rate between the actual measured value of the total power generation amount and the total expected power generation amount calculated using the simple deviation.

[0067] The calculated sum of expected power generation is the sum of expected power generation with an exceedance probability of 99% (P99). The weights used to calculate the sum of expected power generation using the deviation-weighted average are set according to the power generation capacity, and are 0.463 for power plants in Hokkaido, 0.138 for power plants in Kansai, and 0.399 for power plants in Kyushu.

[0068] As shown in Figure 6, for the monthly conformance rate, the sum of expected power generation calculated using the simple sum was closest to the actual measured value, but for the 10-year sum of expected power generation, the sum of expected power generation calculated using the deviation-weighted average was closest to the actual measured value. Thus, when comparing the actual measured value and the sum of expected power generation on a monthly basis, the sum of expected power generation calculated using the simple sum was closest to the actual measured value, but when comparing the actual measured value and the sum of expected power generation over a long period of 10 years, the sum of expected power generation calculated using the deviation-weighted average was closest to the actual measured value. Therefore, it was found that the longer the period for calculating the sum of expected power generation, the more it is possible to prevent the calculation accuracy of the sum of expected power generation from decreasing.

[0069] In the above embodiment, the information processing performed by the CPU 21 by reading software (programs) may be performed by various processors other than a CPU. Examples of such processors include programmable logic devices (PLDs) (such as field-programmable gate arrays (FPGAs)) whose circuit configuration can be changed after fabrication, and application-specific integrated circuits (ASICs) that are dedicated electrical circuits that are processors with circuit configurations specifically designed to perform specific processes. Information processing may be performed by one of these various processors, or by a combination of two or more processors of the same or different types (e.g., multiple FPGAs, or a combination of a CPU and an FPGA). The hardware structure of these various processors is, more specifically, an electrical circuit that combines circuit elements such as semiconductor devices.

[0070] In the above embodiment, the information processing program 24A is pre-stored (installed) in the storage unit 24, but the present invention is not limited to this. The information processing program 24A may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disk Read Only Memory), a DVD-ROM (Digital Versatile Disk Read Only Memory), or a USB (Universal Serial Bus) memory. The information processing program 24A may also be downloaded from an external device via the network N. [Explanation of symbols]

[0071] 10 Information Processing Systems 20 Information processing equipment 21A Solar radiation data acquisition unit 21B Expected power generation calculation section 21C Deviation calculation section 21D Summation calculation section 24 Memory section 24A Information Processing Program 25 Input section 26 Display section 27 Communications Department 28 Bus 30 Power Plant Terminal 40. Solar power generation equipment

Claims

1. a solar radiation data acquisition unit that acquires solar radiation data relating to past solar radiation amounts at each of a plurality of power plants in which solar power generation devices that receive sunlight and generate electricity are installed; an expected power generation amount calculation unit that calculates an expected power generation amount of the photovoltaic power generation device for each of the plurality of power plants based on the solar radiation amount data; a deviation calculation unit that calculates a weighted average of expected power generation amounts of the plurality of power plants using the power generation capacities of the photovoltaic power generation devices of the plurality of power plants as weights, and calculates a deviation of the expected power generation amounts calculated for each of the plurality of power plants based on the calculated weighted average; a sum calculation unit that calculates a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants; An information processing device comprising:

2. The computer Obtaining solar radiation data relating to past solar radiation amounts at each of a plurality of power plants in which solar power generation equipment that receives sunlight and generates electricity is installed; calculating an expected power generation amount of the photovoltaic power generation equipment for each of the plurality of power plants based on the solar radiation data; calculating a weighted average of the expected power generation amounts of the plurality of power plants using the power generation capacities of the photovoltaic power generation equipment of the plurality of power plants as weights, and calculating a deviation of the expected power generation amounts calculated for each of the plurality of power plants based on the calculated weighted average; Calculating a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants. An information processing method that performs processing.

3. On the computer, Obtaining solar radiation data relating to past solar radiation amounts at each of a plurality of power plants in which solar power generation equipment that receives sunlight and generates electricity is installed; calculating an expected power generation amount of the photovoltaic power generation equipment for each of the plurality of power plants based on the solar radiation data; calculating a weighted average of the expected power generation amounts of the plurality of power plants using the power generation capacities of the photovoltaic power generation equipment of the plurality of power plants as weights, and calculating a deviation of the expected power generation amounts calculated for each of the plurality of power plants based on the calculated weighted average; Calculating a sum of the expected power generation amounts of the plurality of power plants based on the expected power generation amount and deviation calculated for each of the plurality of power plants. An information processing program that executes processing.

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