WO2023238378A1 - Information processing device, power generating system, and information processing method - Google Patents

Abstract

This information processing device, comprising a processor and a storage device, calculates a predicted power generation amount at the installation location of a power-generating facility on the object date on which the power generation amount of a renewable-energy-use-type power-generating facility is to be predicted, calculates the planned charging amount for a storage battery that charges at least a portion of the power generation amount of the power-generating facility on the object date on the basis of the predicted power generation amount for the object date and the predicted electricity price for the object date, calculates the planned discharging amount for the storage battery for the object date on the basis of the planned charging amount and the predicted electricity price, and when a first condition in which the planned charging amount is the capacity of the storage battery or less and the planned discharging amount is the planned charging amount or less is satisfied, determines a spot bidding amount for the object date.

Description

Information processing device, power generation system, and information processing method

The present invention relates to an information processing device, a power generation system, and an information processing method.

Patent Document 1 discloses a power operation system including a plurality of solar power generation devices connected to the power grid via the same power receiving end. Each of the plurality of solar power generation devices includes a solar cell for receiving sunlight and outputting power, a storage battery for storing power, a communication interface for communicating with other solar power generation devices, and a power source. and a battery control unit for controlling storage of power and output of power to the power grid. A battery control unit of a first solar power generation device among the plurality of solar power generation devices causes the first solar power generation device to output power to the power grid rather than accumulating power during a first period. is given priority, and via the communication interface, a second solar power generation device among the plurality of solar power generation devices is given priority over the accumulation of electric power during a second period that is a predetermined time later than the first period. Prioritizes power output to the power grid. According to Patent Document 1, it is possible to reduce fluctuations in the amount of electricity sold to the power grid by a plurality of solar power generation devices.

Patent Document 2 discloses a power storage system that stores DC power and inputs the DC power to a PCS (Power Conditioning Subsystem) that converts the DC power into AC power and supplies it to the power grid. The power storage system has a voltage range that matches the input voltage range of the PCS, and includes a storage battery that stores DC power, a power converter that converts the DC power into predetermined DC power and charges the storage battery, and a power converter that stores the DC power stored in the storage battery. A discharge switch that discharges power, a sensor that detects the input power of the PCS and outputs a detection signal, and a sensor that controls the converted power of the power converter based on the detection signal, and a switch when the solar power generation device is not generating power. and a control unit that controls discharging of the storage battery by turning on the storage battery. According to Patent Document 2, by charging only the surplus power of a solar power generation device into a storage battery and discharging the storage battery during times when the solar power generation device cannot generate electricity, such as at night, more sunlight can be generated. It is possible to supply derived energy and improve PCS operation.

Japanese Patent Application Publication No. 2011-109770 JP2018-98952A

However, in the inventions disclosed in Patent Documents 1 and 2, surplus power of the power generated by the solar power generation device is charged to a storage battery during the daytime, etc., and the power charged in the storage battery is discharged to the power grid during the nighttime etc. So-called time-shifting is carried out, but it does not take into consideration the avoidance of imbalance in the event that the actual performance of the solar power generation equipment on the day differs from the plan for the solar power generation equipment contracted by the previous day, so it is based on the imbalance. There was a risk that charges would be incurred.

The present invention has been made in view of the above-mentioned problems, and one of its objects is to simultaneously realize time shift while avoiding imbalance in power generation equipment using renewable energy.

One of the present inventions for achieving the above object is an information processing device having a processor and a storage device, which is configured to predict the amount of power generated by power generation equipment using renewable energy on a target date. Calculate the predicted power generation amount at the installation location of the power generation equipment, and based on the predicted power generation amount on the target date and the predicted electricity price on the target date, at least a portion of the power generation amount of the power generation equipment on the target day. A planned charging amount for the storage battery to be charged is calculated, and a planned discharging amount for the storage battery on the target day is calculated based on the planned charging amount and the predicted electricity price, and the planned charging amount is determined by the capacity of the storage battery. When the first condition that the planned discharge amount is equal to or less than the planned charging amount is satisfied, the spot bid amount on the target day is determined.

According to the information processing device of the present invention, under the FIP (Feed In Premium) system, it is possible to avoid imbalance and simultaneously achieve time shifting using power generation equipment that uses renewable energy. . In other words, the revenue gained from time shifting can cover the penalty payable when an imbalance occurs.

Another aspect of the present invention for achieving the above object is an information processing device that, when the first condition is not satisfied, reduces the amount of charge to the storage battery by a predetermined amount, thereby generating a new information processing device. The process of calculating the planned charging amount and the planned discharging amount is repeated until the first condition is satisfied.

According to the information processing device of the present invention, it is possible to calculate the planned charging amount and the planned discharging amount until the first condition is satisfied, and to control the same amount at the same time only by charging and discharging the storage battery. Note that the predetermined amount is a value obtained by multiplying the predicted power generation amount p by a correction coefficient a of 0 or more and less than 1.

Another aspect of the present invention for achieving the above object is an information processing apparatus that includes processing for changing the correction coefficient to a larger value by a predetermined value when the first condition is not satisfied. The planned charging amount of p-ap (where a: correction coefficient, p: predicted power generation amount) is calculated repeatedly until the first condition is satisfied.

According to the information processing device of the present invention, by setting the predetermined value used for changing the correction coefficient to a small value, it is possible to improve the accuracy when calculating the planned charging amount and the planned discharging amount that satisfy the first condition. becomes.

Another aspect of the present invention for achieving the above object is an information processing device, wherein the prediction in the time period in which the power generation equipment is expected to generate electricity is based on the predicted electricity price on the target date. A second condition is that the average price of electricity and the maximum price among the predicted electricity prices in all time periods are extracted, and the average price is equal to or less than a predetermined reference price, and the maximum price with respect to the average price is extracted. When both of the third condition that the price ratio is equal to or higher than a predetermined reference value are not satisfied, the planned charging amount and the planned discharging amount are calculated.

According to the information processing device of the present invention, if the second condition is not satisfied, there is a risk that the imbalance charge during the time period when the power generation equipment is expected to generate electricity will increase, while if the third condition is not satisfied, the power generation equipment Therefore, if both the second and third conditions are not satisfied, the planned charging and discharging amounts that satisfy the first condition are calculated and simultaneous charging and discharging of the storage battery is performed. It becomes possible to perform the same amount of control.

Another aspect of the present invention for achieving the above object is an information processing device, in which when either the second condition or the third condition is satisfied, the predicted power generation amount and the The planned charging amount is calculated based on the predicted power price, the planned discharge amount is calculated based on the planned charging amount and the predicted power price, and the spot bid amount is determined.

According to the information processing device of the present invention, if the second condition is satisfied, the imbalance charge during the time period when the power generation equipment is expected to generate electricity may be reduced, while if the third condition is satisfied, the imbalance charge of the power generation equipment may be reduced. Since there is a possibility of generating revenue from power generation, if at least one of the second condition or the third condition is satisfied, the planned charging amount and the planned discharging amount are calculated without considering whether or not the first condition is satisfied. However, it becomes possible to perform the same amount of control at the same time only by charging and discharging the storage battery.

Another aspect of the present invention for achieving the above object is an information processing device, in which the spot Determine the bid amount.

According to the information processing device of the present invention, it is possible to easily control the charging and discharging of the storage battery on the target day, and to ensure simultaneous control of the same amount.

Other problems disclosed in the present application and methods for solving the problems will be made clear by the description in the Detailed Description section and the drawings.

According to the present invention, it is possible to simultaneously realize time shift while avoiding imbalance using renewable energy type power generation equipment.

FIG. 1 is a block diagram showing a schematic configuration of a power generation system according to the present embodiment. It is a block diagram showing main functions of a supervisory control device with which a power generation equipment concerning this embodiment is provided. It is a figure showing an example of a solar radiation amount prediction value concerning this embodiment. FIG. 3 is a diagram showing an example of performance values according to the present embodiment. It is a figure showing an example of predicted electric power generation amount concerning this embodiment. FIG. 2 is a block diagram illustrating an example of hardware of an information processing device used to realize the supervisory control device according to the present embodiment. It is a flowchart which shows an example of the process of the supervisory control device concerning this embodiment when determining the spot bid amount on a target day by the day before the target day. It is a graph showing an example of changes in predicted power prices according to the present embodiment. It is a graph showing an example of changes in predicted power generation amount and spot bid amount according to the present embodiment. It is a graph showing another example of changes in the predicted power generation amount and spot bid amount according to the present embodiment.

At least the following matters will become clear from the description of this specification and the accompanying drawings. DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below based on one embodiment thereof with reference to the accompanying drawings. In this embodiment, the same or similar configurations may be given common reference numerals and their descriptions may be omitted. Furthermore, in this embodiment, various information may be described using expressions such as "information," "data," and "table," but various information may be expressed using data structures other than these. Furthermore, in this embodiment, the letter "S" added before the reference numeral means a processing step.

FIG. 1 is a block diagram showing a schematic configuration of a power generation system 1 according to the present embodiment. In this embodiment, for example, a photovoltaic power generation facility (hereinafter referred to as "PV power generation facility 20" (PV: Photo Voltaic)) is used as a power generation facility using renewable energy.

The power generation system 1 includes a PV power generation facility 20 and various facilities and devices for monitoring and controlling the PV power generation facility 20. Specifically, the power generation system 1 includes a storage battery 30, a storage battery control device 40, a weather information providing device 60, a monitoring control device 100, and a measurement device 70 in addition to the PV power generation equipment 20.

The PV power generation equipment 20, the storage battery 30, the storage battery control device 40, the weather information providing device 60, the monitoring control device 100, and the measuring device 70 are connected to each other via the communication network 5 so that they can communicate bidirectionally. The communication network 5 is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), a dedicated line, a power line communication network, or various public communication networks. Further, the PV power generation equipment 20, the storage battery 30, and the measuring device 70 are connected to the communication network 5 as well as the power system 3 operated by a general electric utility company or the like. Furthermore, the weather information providing device 60 is connected to the Internet 6 as well as the communication network 5 .

The PV power generation equipment 20 includes a photovoltaic power generation panel configured using, for example, a polycrystalline silicon type power generation element, a single crystal silicon type power generation element, a thin film type power generation element, or the like. The PV power generation equipment 20 also includes an inverter or a power conditioner (PCS: Power Conditioning Subsystem) that converts direct current generated by the solar power generation panel into alternating current and supplies the alternating current to the power grid 3. Further, the PV power generation equipment 20 includes a grid connection protection device that detects the frequency of the power grid 3, overvoltage/insufficient voltage, presence or absence of a power outage, etc., and disconnects the power grid 3 from the power grid 3.

The storage battery 30 is, for example, a lead battery, a lithium ion battery, a sodium sulfur battery, a nickel hydride battery, a redox flow battery, a fuel cell, a capacitor battery, or the like. The storage battery 30 includes an inverter or a power conditioner for charging and discharging with the power system 3. The storage battery 30 plays a role of charging the surplus power or discharging the insufficient power with respect to the planned value of the power generation amount of the PV power generation equipment 20.

The storage battery control device 40 performs charging control or discharging control (hereinafter referred to as "charging and discharging control") of the storage battery 30 based on control instructions received from the monitoring and control device 100 via the communication network 5. For example, the storage battery control device 40 performs charging and discharging control of the storage battery 30 so that the amount of charge and the amount of discharge of the storage battery 30 on the target day are equal. Note that the storage battery 30 may also have the functions of the storage battery control device 40.

The supervisory control device 100 controls the storage battery so that when the amount of power supplied from the PV power generation equipment 20 to the power system 3 exceeds a preset amount of power (planned amount), the storage battery 30 is charged with the surplus power. A control instruction (charging instruction) for the storage battery 30 is transmitted to the device 40. In addition, the supervisory control device 100 causes the storage battery 30 to discharge the insufficient power toward the power grid 3 when the amount of power supplied from the PV power generation equipment 20 to the power grid 3 is less than the above-mentioned planned value. A control instruction (discharge instruction) for the storage battery 30 is transmitted to the storage battery control device 40.

The weather information providing device 60 provides weather information for a predetermined period in the future (for example, the next day) based on weather information provided from a weather observatory located in the area surrounding the installation location of the PV power generation equipment 20 or a weather information providing server 7 on the Internet 6. The amount of solar radiation at the installation location of the PV power generation equipment 20 during the daytime) is predicted, and the predicted amount of solar radiation (hereinafter referred to as "predicted amount of solar radiation value") is provided to the monitoring and control device 100 at any time. The weather information providing device 60 also receives information about the amount of solar radiation at the installation location of the PV power generation equipment 20 (hereinafter referred to as " (referred to as "measured value of solar radiation amount"), and provides the measured value of solar radiation amount to the monitoring and control device 100 at any time.

The measuring device 70 measures information regarding the state of the power system 3 (frequency, overvoltage/insufficient voltage, presence or absence of power outage, etc.), and transmits the measured value to the monitoring and control device 100 via the communication network 5.

FIG. 2 is a block diagram showing the main functions of the supervisory control device 100 included in the power generation system 1 according to the present embodiment. The monitoring and control device 100 includes a storage unit 110, a solar radiation predicted value acquisition unit 120, an actual value management unit 125, a predicted power generation amount calculation unit 130, a predicted electricity price calculation unit 135, a planned charging amount calculation unit 140, and a planned discharge amount calculation unit 145, a power generation output fluctuation suppressing section 150, and a charging/discharging planned amount comparing section 155.

Among the above functions, the storage unit 110 stores, as main information (data), a predicted solar radiation amount 111, an actual value 112, a predicted power generation amount 113, a predicted power price 114, a planned charging amount 115, and a planned discharge amount 116. do.

FIG. 3A is a diagram showing an example of the predicted solar radiation value 111. The predicted amount of solar radiation value 111 has a table structure consisting of a plurality of records having each item of date and time 1111 and predicted amount of solar radiation value 1112. One record of the solar radiation amount predicted value 111 corresponds to the solar radiation amount predicted value 1112 in the predicted time period (date and time 1111) on the prediction date. According to the solar radiation predicted value 111, it is possible to obtain a solar radiation predicted value for a predetermined period in the future (for example, the next day).

Returning to FIG. 2, among the above information stored in the storage unit 110, the actual value 112 includes the weather at the installation location of the PV power generation equipment 20, the actual measured value of the amount of solar radiation at the installation location, and the PV It includes information that associates the actual value of the power generation amount of the power generation equipment 20 (hereinafter referred to as the "actual power generation amount value").

FIG. 3B is a diagram showing an example of the actual value 112. The actual value 112 has a table structure consisting of a plurality of records having the following items: year/month/day 1121, weather 1122, measured solar radiation value 1123, and actual power generation value 1124. One record of the actual value 112 corresponds to an actual value (measured solar radiation amount 1123, actual power generation amount 1124, etc.) on a certain day in the past (year, month, day 1121). According to the actual value 112, it is possible to obtain the weather, actual solar radiation amount, and power generation amount actual value on a certain day in the past.

Returning to FIG. 2, of the above information stored in the storage unit 110, the predicted power generation amount 113 is a predicted value of the power generation amount of the PV power generation equipment 20 on the target day, which is calculated based on the predicted solar radiation amount.

Among the above information stored in the storage unit 110, the predicted power price 114 is a predicted value of the power price on the target date, which is calculated based on the predicted solar radiation value 111, the actual value 112, and the past performance of the power price.

FIG. 3C is a diagram showing an example of the predicted power generation amount 113. The predicted power generation amount 113 has a table structure consisting of a plurality of records having each item of date and time 1131 and predicted power generation amount 1132. One record of the predicted power generation amount 113 corresponds to the predicted power generation amount 1132 in the predicted time period (date and time 1131) on the prediction date. According to the predicted power generation amount 113, the predicted power generation amount for a predetermined period in the future (for example, the next day) can be obtained.

Among the above information stored in the storage unit 110, the planned charging amount 115 is calculated based on the predicted power generation amount 113, the predicted power price 114, and a correction coefficient of 0 or more and less than 1, from the PV power generation equipment 20 to the power system 3. This is the planned value of the amount of charge to the storage battery 30 on the target day, which makes the amount of power supplied in 2008 appropriate (same amount of planned value at the same time). The planned charging amount 115 is within the range below the capacity of the storage battery 30 and is calculated from, for example, "p-ap" (where a: correction coefficient, p: predicted power generation amount).

Among the above information stored in the storage unit 110, the planned discharge amount 116 is a planned value of the amount of discharge for the storage battery 30 on the target day, which is calculated based on the predicted power price 114 and the planned charging amount 115. The planned discharge amount 116 is calculated within the range of the planned charging amount 115 or less, but since the initial SOC of the storage battery needs to be 0%, in this embodiment, it is calculated to be equal to the planned charging amount 115. I will do so.

Among the functions shown in FIG. 2, the solar radiation predicted value acquisition unit 120 acquires the solar radiation predicted value 111 on the reference day from the weather information providing device 60. The storage unit 110 stores the solar radiation predicted value 111 acquired by the solar radiation predicted value acquisition unit 120.

The performance value management unit 125 manages the performance values 112 such as the measured solar radiation amount 1123 and the power generation amount performance value 1124. The performance value management unit 125 manages, for example, the power generation amount performance value 1124 generated by the supervisory control device 100 itself. Furthermore, the performance value management unit 125 manages, for example, the actual measured amount of solar radiation 1123 acquired from the weather information providing device 60. The storage unit 110 stores performance values 112 such as an actual solar radiation amount value 1123 and a power generation amount performance value 1124 managed by the performance value management unit 125.

The predicted power generation amount calculation unit 130 calculates the predicted power generation amount 113 of the PV power generation equipment 20 on the target day based on the specifications of the PV power generation equipment 20, the predicted solar radiation value 111, and the actual value 112. Further, the predicted power generation amount calculation unit 130 calculates the predicted power generation amount 113 based on a model (machine learning model, rule base) that has learned the relationship between the specifications of the PV power generation equipment 20, the predicted solar radiation value 111, and the actual value 112, for example. It may be calculated. The storage unit 110 stores the predicted power generation amount 113 calculated by the predicted power generation amount calculation unit 130.

For example, the predicted power price calculation unit 135 uses a power price prediction model to calculate the power price on the target day by the day before the target date, based on the predicted solar radiation value 111, the actual value 112, and the past performance of the power price. A predicted value (hereinafter referred to as "predicted power price 114") is calculated in units of a certain period of time (for example, 30 minutes). The storage unit 110 stores the predicted power price 114 calculated by the predicted power price calculation unit 135.

The planned charging amount calculation unit 140 calculates the planned charging amount 115 when the storage battery 30 charges the surplus power of the PV power generation equipment 20 on the target day based on the predicted power generation amount 113, the predicted power price 114, and a correction coefficient of 0 or more and less than 1. is calculated from the above calculation formula "p-ap". The storage unit 110 stores the planned charging amount 115 calculated by the planned charging amount calculation unit 140.

The discharge plan amount calculation unit 145 calculates the discharge plan amount 116 when the storage battery 30 discharges the charged power from the PV power generation equipment 20 to the power grid 3 on the target day based on the predicted power generation amount 113 and the predicted power price 114. do. The storage unit 110 stores the planned discharge amount 116 calculated by the planned discharge amount calculation unit 145.

The planned charge/discharge amount comparing unit 155 compares the planned charge amount 115 and the planned discharge amount 116 so that the monitoring control device 100 can determine whether the planned discharge amount 116 is equal to the planned charge amount 115.

The power generation output fluctuation suppressing unit 150 monitors the amount of power generated by the PV power generation equipment 20 and information on the power system 3 transmitted from the measuring device 70 (frequency, overvoltage/undervoltage, presence of power outage, etc.), By charging the surplus power or discharging the insufficient power with respect to the predicted power generation amount 113 of 20, output fluctuations of the PV power generation equipment 20 are compensated for, and the amount of power supplied from the PV power generation equipment 20 to the power system 3 is reduced. The charging and discharging of the storage battery 30 is controlled so as to be appropriate. The power generation output fluctuation suppressing unit 150 transmits a charging instruction or a discharging instruction for the above control to the storage battery control device 40 at any time.

FIG. 4 is a block diagram illustrating an example of hardware of the information processing device 10 used to realize the monitoring and control device 100. The information processing device 10 includes a processor 11 , a main storage device 12 , an auxiliary storage device 13 , an input device 14 , an output device 15 , and a communication device 16 . The information processing device 10 is, for example, a personal computer, an office computer, various server devices, a general-purpose machine, or the like. The information processing device 10 is realized in whole or in part using virtual information processing resources provided using virtualization technology, such as a virtual server provided by a cloud system. There may be. The monitoring and control device 100 may be realized using a plurality of information processing devices 10 that are communicatively connected.

The processor 11 is, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), AI (Artificial Intelligence) chip, etc. It is configured using

The main storage device 12 is a device that stores programs and data, and is, for example, ROM (Read Only Memory), RAM (Random Access Memory), nonvolatile memory (NVRAM (Non Volatile RAM)), etc.

The auxiliary storage device 13 is, for example, an SSD (Solid State Drive), a hard disk drive, an optical storage device (CD (Compact Disc), DVD (Digital Versatile Disc), etc.), a storage system, an IC card, an SD card, or an optical recording device. These are a reading/writing device for a recording medium such as a medium, a storage area of a cloud server, etc. Programs and data can be read into the auxiliary storage device 13 via a recording medium reading device or a communication device 16. Programs and data stored in the auxiliary storage device 13 are read into the main storage device 12 at any time.

The input device 14 is an interface that accepts input from the outside, and includes, for example, a keyboard, a mouse, a touch panel, a card reader, a pen-input tablet, a voice input device, and the like.

The output device 15 is an interface that outputs various information such as processing progress and processing results. The output device 15 is, for example, a display device that visualizes the various information mentioned above (LCD (Liquid Crystal Display), graphic card, etc.), a device that converts the various information mentioned above into audio (audio output device (speaker, etc.)), It is a device (printing device, etc.) that converts various information into characters. Note that the information processing device 10 may be configured to input and output information to and from other devices via the communication device 16.

The input device 14 and the output device 15 constitute a user interface that receives information from and presents information to the user.

The communication device 16 is a device that realizes communication (wired communication or wireless communication) with other devices via a communication infrastructure such as the communication network 5, and includes, for example, a NIC (Network Interface Card), a wireless communication module, etc. , USB module, etc.

Note that the information processing device 10 may have, for example, an operating system, a file system, a DBMS (Data Base Management System) (relational database, NoSQL, etc.), a KVS (Key-Value Store), etc. installed therein.

The functions provided in the supervisory control device 100 can be implemented by the processor 11 of the information processing device 10 reading and executing a program stored in the main storage device 12, or by the hardware (FPGA, This is realized by the functions of the ASIC, AI chip, etc.) itself. The supervisory control device 100 stores the various kinds of information (data) described above, for example, as a database table or a file managed by a file system.

FIG. 5 is a flowchart illustrating an example of the process of the monitoring and control device 100 when determining the spot bid amount on a target day by the day before the target date. Note that the supervisory control device 100 starts a series of processes when the administrator of the power generation system 1 or the like performs a predetermined start operation on the user interface of the supervisory control device 100. Here, when a series of processes is started, in the monitoring and control device 100, the solar radiation predicted value acquisition unit 120 acquires the solar radiation predicted value 111 for the target day from the weather information providing device 60, and the storage unit 110 stores the solar radiation It is assumed that the predicted value 111 is stored. Further, in the monitoring and control device 100, the performance value management unit 125 manages past performance values 112 such as the past measured solar radiation value 1123 and the past power generation performance value 1124, and the storage unit 110 stores the past measured solar radiation value 1123 and the past power generation performance value. It is assumed that the actual value 112 such as 1124 is stored. It is also assumed that the supervisory control device 100 has calculated a reference price to be compared with the average price below and a reference value to be compared with the maximum price/average price below.

First, when the administrator or the like of the power generation system 1 performs a predetermined start operation on the user interface of the supervisory control device 100, the predicted power generation amount calculation unit 130 in the supervisory control device 100 calculates the amount of PV power generation on the target day. The predicted power generation amount 113 of the equipment 20 is calculated, and the storage unit 110 stores the predicted power generation amount 113 (S501).

Next, in the monitoring and control device 100, the predicted power price calculation unit 135 calculates the predicted power price 114 on the target date, and the storage unit 110 stores the predicted power price 114 (S502).

Next, based on the predicted power price 114 on the target day, the supervisory control device 100 calculates the average price of the predicted power price 114 in the time period (for example, from 9:00 to 16:00) when the PV power generation equipment 20 is expected to generate power, and The maximum price among the predicted power prices 114 in the band is extracted (S503).

Next, the supervisory control device 100 determines whether the second condition that the average price of the predicted power price 114 is equal to or less than a predetermined reference price is satisfied (S504). Note that the reference price that is compared with the average price of the predicted power price 114 is a price that serves as an index for determining whether the imbalance charge during the time period when the PV power generation equipment 20 is expected to generate power is cheap. For example, when the average price of the predicted power price 114 is below the reference price, the imbalance charge is low. On the other hand, when the average price of the predicted power price 114 is larger than the reference price, the imbalance charge is high. The monitoring and control device 100 calculates the reference price, for example, from a simulation of the imbalance charge based on the predicted power price 114 and the past actual value of the power price. Regarding the setting of the standard price, a computer or the like having AI, which is artificial intelligence, may be used instead of the supervisory control device 100.

When the supervisory control device 100 determines that the average price of the predicted power price 114 does not satisfy the second condition that is less than or equal to the reference price (S504: NO), the ratio of the maximum price to the average price of the predicted power price 114 is predetermined. It is determined whether the third condition, which is equal to or greater than the reference value set, is satisfied (S505). The reference value that is compared with the ratio of the maximum price to the average price of the predicted electricity price 114 is a value that serves as an index when determining whether or not profits can be expected from the price difference between the average price and the maximum price of the predicted electricity price 114. It is. For example, when the ratio of the maximum price to the average price of the predicted power price 114 is greater than or equal to the reference value, profits can be expected. On the other hand, when the ratio of the maximum price to the average price of the predicted power price 114 is smaller than the reference value, no profit can be expected. The supervisory control device 100 calculates the reference value, for example, from a profit simulation based on the predicted power price 114 and the past actual power price value. Regarding the setting of the reference value, a computer or the like having AI, which is artificial intelligence, may be used instead of the monitoring and control device 100.

When the supervisory control device 100 determines that the second condition that the average price of the predicted electricity price 114 is equal to or lower than the reference price is satisfied (S504: YES), the imbalance charge in the time period when power generation by the PV power generation equipment 20 is expected to be Therefore, regardless of the judgment result in step S505 above, the spot bid amount is determined based on the information of the predicted power generation amount 113 and the predicted power price 114, specializing only in the time shift described below (S506). . Alternatively, when the supervisory control device 100 determines that the third condition that the ratio of the maximum price to the average price of the predicted power price 114 is equal to or higher than the reference value is satisfied (S505: YES), the monitor control device 100 determines that the average price and the maximum price of the predicted power price 114 are satisfied. Since profits can be expected from the price difference, the spot bid amount is determined based on the information on the predicted power generation amount 113 and the predicted power price 114, regardless of the judgment result in step S504 above (S506). ).

FIG. 6A is a graph showing an example of changes in the predicted power price 114, where the horizontal axis shows the time (hour and minute) from 0:00 to 24:00 on the target day, and the vertical axis shows the predicted power price 114 (yen). shows. For convenience of explanation, the start time (0 o'clock) of the target day is time t0, the time of sunrise is time t1, the time when PV power generation equipment 20 starts generating sufficient power is time t2, and the time when PV power generation equipment 20 finishes generating sufficient power. The time when the sun sets is set as time t3, the time of sunset is set as time t5, and the end time (24:00) of the target day is set as time t6. As is clear from FIG. 6A, the predicted power price 114 is low because the PV power generation equipment 20 is expected to generate power during the day, and the predicted power price 114 is low because the PV power generation equipment 20 is not expected to generate power at night. tends to be higher. In other words, for the administrator of the power generation system 1, etc., the surplus power of the PV power generation equipment 20 is charged into the storage battery 30 during the daytime hours when the predicted electricity price 114 is low, and the nighttime hours when the predicted electricity price 114 is high. In addition, it is desirable to discharge the power already charged in the storage battery 30 to the power grid 3.

FIG. 6B is a graph showing an example of trends in the predicted power generation amount 113 and the spot bid amount, where the horizontal axis shows the time (hour and minute) from 0:00 to 24:00 on the target day, and the vertical axis shows the predicted power generation amount. 113 (thin solid line) and the spot bid amount (thick solid line) (KWh). It is assumed that the time intervals on the horizontal axes in FIGS. 6A and 6B are the same. It is assumed that the initial SOC (State Of Charge) of the storage battery 30 at time t0 is 0%.

Hereinafter, the process of step S506 will be specifically described with reference to FIGS. 6A and 6B.

Since time t0 to t1 is a time period before sunrise in which power generation by the PV power generation equipment 20 is not expected (predicted power generation amount 113 = 0 (KWh)), the supervisory control device 100 instructs the storage battery control device 40 to charge. First, it is assumed that the storage battery 30 does not perform a charging operation. Then, the supervisory control device 100 determines the spot bid amount between times t0 and t1 to be zero.

Since time t1 to t2 is a time period immediately after sunrise in which sufficient power generation by the PV power generation equipment 20 is not expected, the supervisory control device 100 does not issue a charging instruction to the storage battery control device 40, and the storage battery 30 does not perform charging operation. shall not be carried out. Then, the supervisory control device 100 determines the spot bid amount within a range that does not exceed the predicted power generation amount 113 between times t1 and t2.

Time t2 to t3 is a time period during the day when the PV power generation equipment 20 is expected to generate sufficient power, and is also a time period when the predicted power price 114 is low, so the supervisory control device 100 charges the storage battery control device 40. The instruction is given, and the storage battery 30 is charged with the predicted power generation amount 113 of the power generated by the PV power generation equipment 20 as surplus power. Then, the supervisory control device 100 determines the spot bid amount between times t2 and t3 to be zero.

Since the time t3 to t4 is a time period before sunset when sufficient power generation by the PV power generation equipment 20 is not expected, the supervisory control device 100 does not instruct the storage battery control device 40 to charge, and the storage battery 30 performs the charging operation. Assume that there is no. Then, the supervisory control device 100 determines the spot bid amount within a range that does not exceed the predicted power generation amount 113 between times t3 and t4. In addition, time t4 is based on the condition that the discharge amount of the storage battery 30 per fixed time is equal to or less than the capacity of the power conditioner, and the planned charge amount 115 (solid diagonal line) and discharge plan amount 116 (broken diagonal line) of the storage battery 30 on the target day. This is a time set between time t3 and time t5 so as to satisfy the condition that the values are equal.

Time t4 to t5 is a time period just before sunset when sufficient power generation by the PV power generation equipment 20 is not expected, but since time t4 has been reached, the supervisory control device 100 instructs the storage battery control device 40 to discharge, It is assumed that the storage battery 30 discharges the already charged power to the power grid 3. Then, the supervisory control device 100 determines the spot bid amount between times t4 and t5 so that the discharge amount of the storage battery 30 per fixed time is equal to or less than the capacity of the power conditioner.

Since time t5 to t6 is a time period after sunset when power generation by the PV power generation equipment 20 is not expected, the supervisory control device 100 subsequently instructs the storage battery control device 40 to discharge, and the storage battery 30 is already charged. It is assumed that power is discharged to the power grid 3. Then, the supervisory control device 100 determines the spot bid amount between times t5 and t6 so that the amount of discharge of the storage battery 30 per certain period of time is equal to or less than the capacity of the power conditioner.

In the process of step S506, either the imbalance charge will be lower during the time period when power generation by the PV power generation equipment 20 is expected to be generated, or the profit can be expected from the price difference between the average price and the maximum price of the predicted power price 114. When the possibility of The charging and discharging of the storage battery 30 can be controlled so that

On the other hand, if the supervisory control device 100 determines that the average price of the predicted power price 114 during the time period when power generation by the PV power generation equipment 20 is expected to be less than or equal to the reference price does not satisfy the second condition (S504: NO), the PV power generation It is predicted that the imbalance charge will be high during the time period when power generation by the equipment 20 is expected. Furthermore, if the supervisory control device 100 determines that the ratio of the maximum price to the average price of the predicted power price 114 does not satisfy the third condition that is equal to or higher than the reference value (S505: NO), the monitor control device 100 determines that the ratio of the maximum price to the average price of the predicted power price 114 is not satisfied (S505: NO). It is predicted that the difference in price will make it impossible to generate profits. Therefore, when the supervisory control device 100 determines that both the second condition and the third condition are not satisfied, it sets the initial value of the above-mentioned correction coefficient to 0 (a=0) (S507).

Next, the supervisory control device 100 calculates the planned charging amount 115 for the storage battery 30 on the target day from "p-ap" (S508). Regarding ap (predetermined amount), for convenience of explanation, each correction coefficient value will be expressed as ap (a = 0), ap (a = 0.01), ap (a = 0.02), etc. do.

Next, the monitoring control device 100 calculates the planned discharge amount 116 (≦planned charging amount) for the storage battery 30 on the target day (S509).

Next, the supervisory control device 100 determines whether the first condition that the planned charging amount 115 is less than or equal to the capacity of the storage battery 30 and the planned discharging amount 116 is less than or equal to the planned charging amount 115 is satisfied (S510).

When the supervisory control device 100 determines that the first condition that the planned charging amount 115 is less than or equal to the capacity of the storage battery 30 and the planned discharging amount 116 is less than or equal to the planned charging amount 115 (S510: NO), the monitoring and control device 100 performs step S510. The value of the correction coefficient is changed by adding an additional value (for example, 0.01) to the correction coefficient at the time (S511), and the processes of steps S508 to S510 described above are executed again. In other words, a new planned charge amount 115 and a new planned discharge amount 116 are calculated by reducing the amount of charge to the storage battery by a predetermined amount. Note that the additional value may be a value other than 0.01.

The supervisory control device 100 performs steps S508 to S511 described above until it determines that the first condition that the planned charging amount 115 is less than or equal to the capacity of the storage battery 30 and the planned discharging amount 116 is less than or equal to the planned charging amount 115 is satisfied. Repeat the process. In this embodiment, for convenience of explanation, it is assumed that the processing of steps S508 to S511 is executed twice.

On the other hand, when the supervisory control device 100 determines that the first condition that the planned charging amount 115 is less than or equal to the capacity of the storage battery 30 and the planned discharging amount 116 is less than or equal to the planned charging amount 115 (S510: YES), the monitoring and control device 100 makes a prediction. The spot bid amount is determined based on the information of the power generation amount 113, the predicted power price 114, the planned charging amount 115, and the planned discharge amount 116 (S512).

FIG. 6C is a graph showing an example of trends in the predicted power generation amount 113 and the spot bid amount, where the horizontal axis shows the time (hour and minute) from 0:00 to 24:00 on the target day, and the vertical axis shows the predicted power generation amount. 113 (thin solid line) and the spot bid amount (thick solid line) (KWh). For convenience of explanation, it is assumed that the time interval on the horizontal axis in FIG. 6C is the same as the time interval on the horizontal axis in FIGS. 6A and 6B.

Hereinafter, the series of processes from steps S506 to S512 will be specifically described with reference to FIG. 6C.

Since time t0 to t1 is a time period before sunrise in which power generation by the PV power generation equipment 20 is not expected (predicted power generation amount 113 = 0 (KWh)), the supervisory control device 100 does not instruct the storage battery control device 40 to charge. , the storage battery 30 does not perform a charging operation. Then, the supervisory control device 100 determines the spot bid amount between times t0 and t1 to be zero.

Time t1 to t4 is a time period in which power generation by the PV power generation equipment 20 can be expected, but it is also a time period in which imbalance charges become high and profits are not expected. In other words, from time t1 to t4, there is a possibility that the PV power generation equipment 20 generates less than the predicted power generation amount 113. It is undesirable to determine the spot bid amount at Therefore, the supervisory control device 100 sets the initial value of the correction coefficient to 0, calculates the planned charge amount 115 (solid diagonal line) for the storage battery 30 on the target day from "p-ap", and also calculates the planned discharge amount 116 (broken line) for the storage battery 30 on the target day. (diagonal line) is also calculated. The supervisory control device 100 repeats the process of calculating the planned charging amount 115 and the planned discharging amount 116 by changing the correction coefficient in units of +0.01 until the planned charging amount 115 and the planned discharging amount 116 become equal. Then, the supervisory control device 100 sets the spot bid amount at times t1 to t4 using ap (a=0.02) which is smaller than the predicted power generation amount p when the planned charging amount 115 and the planned discharging amount 116 are equal. decide. Note that time t4 satisfies the condition that the discharge amount of the storage battery 30 per fixed time is equal to or less than the capacity of the power conditioner, and the condition that the planned charge amount 115 and the planned discharge amount 116 of the storage battery 30 on the target day are equal. This is the time set between time t3 and time t5 so that The first condition is that the planned discharge amount 116 is equal to or less than the planned charge amount 115, so in this embodiment, the initial SOC of the storage battery 30 at the time when the PV power generation equipment 20 starts generating power on the target day is 0%. It is assumed that the planned charging amount 115 and the planned discharging amount 116 are equal.

The time period t4 to t5 is a time period immediately before sunset in which sufficient power generation by the PV power generation equipment 20 is not expected. Furthermore, the period from t5 to t6 is a time period after sunset when the PV power generation equipment 20 is not expected to generate power. Therefore, since the time period is after time t4, the supervisory control device 100 instructs the storage battery control device 40 to discharge, and the storage battery 30 discharges the already charged power to the power grid 3. shall be. Then, the supervisory control device 100 determines the spot bid amount from time t4 to t6 so that the discharge amount of the storage battery 30 per fixed time is equal to or less than the capacity of the power conditioner.

In the processing after step S507, information on the predicted power generation amount 113, the predicted power price 114, and the correction coefficient is required because the imbalance charge during the time period when the PV power generation equipment 20 is expected to generate power will increase and there is a risk that profits will not be expected. Based on this, the spot bid amount is determined when the planned charging amount 115 and the planned discharging amount 116 are equal, and the charging and discharging of the storage battery 30 is determined so that the amount of power supplied from the PV power generation equipment 20 to the power grid 3 is appropriate. can be controlled.

In the above embodiment, the process of calculating the planned charging amount 115 and the planned discharging amount 116 by changing the correction coefficient a in units of +0.01 is repeated until the planned charging amount 115 and the planned discharging amount 116 become equal. Although an example has been described, it is not necessary to use the correction coefficient a. For example, the supervisory control device 100 may reduce the amount of charging to the storage battery 30 from the predicted power generation amount p by a predetermined amount until the planned charging amount 115 and the planned discharging amount 116 become equal.

As explained above, the information processing device 10 used to realize the supervisory control device 100 has a processor 11 and a storage device (main storage device 12, auxiliary storage device 13), and is capable of predicting the amount of power generated by the PV power generation equipment 20. Calculate the predicted power generation amount 113 at the installation location of the PV power generation equipment 20 on the target date, and calculate the predicted power generation amount 113 at the installation location of the PV power generation equipment 20 on the target date based on the predicted power generation amount 113 on the target date and the predicted power price 114 on the target date. Calculate the planned charging amount 115 (solid diagonal line in FIG. 6C) for the storage battery 30 that will charge at least part of the power generation amount of 116 (dashed line in FIG. 6C), and when the first condition that the planned charging amount 115 is less than or equal to the capacity of the storage battery 30 and the planned discharging amount 116 is less than or equal to the planned charging amount 115, the spot on the target day is calculated. Determine the bid amount.

According to the information processing device 10, under the FIP (Feed In Premium) system, using the PV power generation equipment 20, it is possible to simultaneously realize time shift while avoiding imbalance. In other words, the revenue gained from time shifting can cover the penalty payable when an imbalance occurs.

Further, when the first condition is not satisfied, the information processing device 10 performs a process of calculating a new planned charge amount 115 and a new planned discharge amount 116 by reducing the amount of charge to the storage battery 30 by a predetermined amount. Repeat until satisfied.

According to the information processing device 10, it is possible to calculate the planned charging amount 115 and the planned discharging amount 116 until the first condition is satisfied, and to control the same amount at the same time only by charging and discharging the storage battery 30. Note that the predetermined amount is a value obtained by multiplying the predicted power generation amount p by a correction coefficient a of 0 or more and less than 1.

In addition, when the first condition is not satisfied, the information processing device 10 repeats the process of changing the correction coefficient to a larger value by a predetermined value (for example, 0.01) until the first condition is satisfied, and performs "p-ap". The planned charging amount 115 is calculated from the formula (where a: correction coefficient, p: predicted power generation amount).

According to the information processing device 10, by setting a small predetermined value used for changing the correction coefficient, it is possible to improve the accuracy when calculating the planned charging amount 115 and the planned discharging amount 116 that satisfy the first condition. becomes.

Furthermore, based on the predicted power price 114 on the target day, the information processing device 10 calculates the average price of the predicted power price 114 in the time period in which the PV power generation equipment 20 is expected to generate power, and the predicted power price 114 in all time periods. The maximum price is extracted, and both the second condition that the average price is less than or equal to a predetermined reference price, and the third condition that the ratio of the maximum price to the average price is greater than or equal to the predetermined reference value. When the first condition is not satisfied, a planned charging amount 115 and a planned discharging amount 116 that satisfy the first condition are calculated.

According to the information processing device 10, if the second condition is not satisfied, there is a risk that the imbalance charge during the time period in which power generation by the PV power generation equipment 20 is expected to be increased.On the other hand, if the third condition is not satisfied, the PV power generation Since there is a risk of not being able to generate revenue from the power generation of the equipment 20, when both the second and third conditions are not satisfied, the planned charging amount 115 and the planned discharging amount 116 that satisfy the first condition are calculated, and the planned charging amount 115 and the planned discharging amount 116 of the storage battery 30 are It becomes possible to control the same amount at the same time only by charging and discharging.

In addition, when either or both of the second condition and the third condition are satisfied, the information processing device 10 calculates the planned charging amount 115 based on the predicted power generation amount 113 and the predicted power price 114, and calculates the planned charging amount 115. Based on the predicted power price 114, the planned discharge amount 116 is calculated, and the spot bid amount is determined.

According to the information processing device 10, if the second condition is satisfied, the imbalance charge during the time period when power generation by the PV power generation equipment 20 is expected to be reduced, while if the third condition is satisfied, the PV power generation equipment 20 Therefore, if at least one of the second condition or the third condition is satisfied, the planned charging amount 115 and the planned discharging amount will be calculated without considering whether or not the first condition is satisfied. 116, it becomes possible to perform the same amount of control at the same time only by charging and discharging the storage battery 30.

Additionally, the information processing device 10 determines the spot bid amount so that the initial SOC of the storage battery 30 on the target day is 0%.

According to the information processing device 10, it is possible to easily control the charging and discharging of the storage battery 30 on the target day, and to ensure simultaneous control of the same amount.

Other problems disclosed in the present application and methods for solving the problems will be made clear by the description in the Detailed Description section and the drawings.

Note that this embodiment is provided to facilitate understanding of the present invention, and is not intended to be interpreted as limiting the present invention. The present invention may be modified and improved without departing from its spirit, and the present invention also includes equivalents thereof. For example, in addition to the PV power generation facility 20, the renewable energy-based power generation facility of the present invention may be a wind power generation facility.

1 Power Generation System 3 Power System 5 Communication Network 7 Weather Information Providing Server 10 Information Processing Device 11 Processor 12 Main Storage Device 13 Auxiliary Storage Device 14 Input Device 15 Output Device 16 Communication Device 20 PV Power Generation Equipment 30 Storage Battery 40 Storage Battery Control Device 60 Weather Information Providing device 70 Measuring device 100 Monitoring control device 110 Storage unit 120 Insolation predicted value acquisition unit 125 Actual value management unit 130 Predicted power generation amount calculation unit 135 Predicted power price calculation unit 140 Charging planned amount calculation unit 145 Discharge planned amount calculation unit 150 Power generation Output fluctuation suppression section 155 Charge/discharge planned amount comparison section

Claims (14)

1. has a processor and a storage device,
   Calculate the predicted power generation amount at the installation location of the power generation equipment on the target date on which the power generation amount of the power generation equipment using renewable energy is to be predicted,
   Based on the predicted power generation amount on the target day and the predicted electricity price on the target date, calculate a planned charging amount for a storage battery that will charge at least a part of the power generation amount of the power generation equipment on the target day,
   Calculating the planned discharge amount for the storage battery on the target date based on the planned charging amount and the predicted electricity price,
   determining a spot bid amount on the target day when the planned charging amount is less than or equal to the capacity of the storage battery and the planned discharging amount satisfies a first condition that is less than or equal to the planned charging amount;
   Information processing device.
2. The information processing device according to claim 1,
   When the first condition is not satisfied, repeating the process of calculating the new planned charge amount and the planned discharge amount by reducing the amount of charge to the storage battery by a predetermined amount until the first condition is satisfied.
   Information processing device.
3. The information processing device according to claim 2,
   The predetermined amount is a value obtained by multiplying the predicted power generation amount by a correction coefficient of 0 or more and less than 1,
   Information processing device.
4. The information processing device according to claim 3,
   When the first condition is not satisfied, repeating the process of changing the correction coefficient to a larger value by a predetermined amount until the first condition is satisfied;
   calculating the planned charging amount of p-ap (where a: correction coefficient, p: predicted power generation amount);
   Information processing device.
5. The information processing device according to any one of claims 1 to 4,
   Based on the predicted electricity price on the target day, extract the average price of the predicted electricity price in the time period in which power generation by the power generation equipment is expected, and the maximum price among the predicted electricity prices in all time periods,
   When both of the second condition that the average price is less than or equal to a predetermined reference price and the third condition that the ratio of the maximum price to the average price is greater than or equal to the predetermined reference value, calculating the planned charging amount and the planned discharging amount;
   Information processing device.
6. The information processing device according to claim 5,
   When one or both of the second condition and the third condition are satisfied, the planned charging amount is calculated based on the predicted power generation amount and the predicted electricity price, and the planned charging amount and the predicted electricity price are calculating the planned discharge amount based on the amount and determining the spot bidding amount;
   Information processing device.
7. The information processing device according to claim 1,
   determining the spot bid amount so that the initial SOC (State Of Charge) of the storage battery on the target date is 0%;
   Information processing device.
8. Power generation equipment using renewable energy,
   a storage battery that charges at least a portion of the power generated by the power generation equipment;
   Calculate the predicted power generation amount at the installation location of the power generation equipment on the target date on which the power generation amount of the power generation equipment using renewable energy is to be predicted, and calculate the predicted power generation amount on the target date. and the predicted electricity price on the target date, calculate a planned charge amount for the storage battery on the target day, and calculate a discharge plan for the storage battery on the target day based on the planned charge amount and the predicted electricity price. determining a spot bid amount on the target day when the planned charging amount is less than or equal to the capacity of the storage battery and the first condition that the planned discharging amount is less than or equal to the planned charging amount; an information processing device;
   A power generation system equipped with
9. An information processing device having a processor and a storage device,
   Calculate the predicted power generation amount at the installation location of the power generation equipment on the target date on which the power generation amount of the power generation equipment using renewable energy is to be predicted,
   Based on the predicted power generation amount on the target day and the predicted electricity price on the target date, calculate a planned charging amount for a storage battery that will charge at least a part of the power generation amount of the power generation equipment on the target day,
   Calculating a planned discharge amount for the storage battery on the target date based on the planned charging amount and the predicted electricity price,
   determining a spot bid amount on the target day when the planned charging amount is less than or equal to the capacity of the storage battery and the planned discharging amount satisfies a first condition that is less than or equal to the planned charging amount;
   Information processing method.
10. The information processing method according to claim 9,
    When the first condition is not satisfied, the correction coefficient is changed so that the new planned charging amount becomes smaller by reducing the amount of charging to the storage battery by a predetermined amount, and the planned charging amount and the planned discharging amount are repeating the process of calculating until the first condition is satisfied;
    Information processing method.
11. The information processing method according to claim 10,
    The predetermined amount is a value obtained by multiplying the predicted power generation amount by a correction coefficient of 0 or more and less than 1,
    Information processing method.
12. The information processing method according to claim 11,
    When the first condition is not satisfied, repeating the process of changing the correction coefficient to a larger value by a predetermined value until the first condition is satisfied;
    calculating the planned charging amount of p-ap (where a: correction coefficient, p: predicted power generation amount);
    Information processing method.
13. The information processing method according to any one of claims 9 to 12,
    Based on the predicted electricity price on the target day, extract the average price of the predicted electricity price in the time period in which power generation by the power generation equipment is expected, and the maximum price among the predicted electricity prices in all time periods,
    When both of the second condition that the average price is less than or equal to a predetermined reference price and the third condition that the ratio of the maximum price to the average price is greater than or equal to the predetermined reference value, calculating the planned charging amount and the planned discharging amount;
    Information processing method.
14. The information processing method according to claim 13,
    When one or both of the second condition and the third condition are satisfied, the planned charging amount is calculated based on the predicted power generation amount and the predicted electricity price, and the planned charging amount and the predicted electricity price are calculating the planned discharge amount based on the amount and determining the spot bidding amount;
    Information processing method.

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