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

Abstract

To provide an information processing device, an information processing method, an information processing system, and a computer program that enable robust voltage control with respect to the prediction accuracy of a power generation amount.SOLUTION: An information processing device according to the embodiment includes a processing unit that determines a first control amount that is the control amount of power in second wiring capable of controlling the power in a power distribution system including at least one power generation device on the basis of a predicted value of the power generation amount of the power generation device and the voltage of first wiring in the power distribution system.SELECTED DRAWING: Figure 4

Description

[Technical Field]

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

[0002] For power distribution networks that are interconnected with a large number of variable distributed power sources with fluctuating power output, such as solar power generation facilities, voltage control for the day is carried out in advance, for example, by utilizing day-ahead spot market transactions in the electricity trading market. This type of voltage control is called advance control. With advance control, there is a possibility that there will be points in the power distribution network where the voltage deviates from the management value (tolerance value) if, for example, the forecast value for the day's power generation of the variable distributed power source is incorrect. Attempting to compensate for this deviation after the fact using control on the day, known as ex-post control, can lead to problems that lead to increased costs. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-288877 Summary of the Invention [Problem to be solved by the invention]

[0004] The embodiments of the present invention provide an information processing device, an information processing method, an information processing system, and a computer program that enable robust voltage control with respect to the prediction accuracy of the amount of power generation. [Means for solving the problem]

[0005] The information processing device of this embodiment includes a processing unit that determines a first control amount, which is a control amount of the power in a second wiring that can control the power in the distribution system, based on a predicted value of the power generation amount of at least one power generation device and the voltage of a first wiring in the distribution system that includes the power generation device. [Brief explanation of the drawings]

[0006] [Figure 1] 1 is a schematic diagram showing a general electricity transmission and distribution company system and an electricity distribution network according to a first embodiment. [Figure 2] FIG. 1 is a block diagram of a general electricity transmission and distribution company system according to a first embodiment. [Figure 3] FIG. 2 is a hardware block diagram of the voltage pre-control device according to the first embodiment. [Figure 4] FIG. 2 is a functional block diagram of the voltage pre-control device according to the first embodiment. [Figure 5] 3 is a flowchart showing the overall process of the voltage pre-control device of the first embodiment. [Figure 6] 5 is a flowchart of processing by a power flow calculation unit in the first embodiment. [Figure 7] 5 is a flowchart of a process of a voltage sensitivity information generating unit according to the first embodiment. [Figure 8] 10 is a flowchart of processing by an optimization unit according to the first embodiment. [Figure 9] FIG. 10 is a functional block diagram of a voltage pre-control device according to a second embodiment. [Figure 10] 10 is a flowchart showing the overall process of the voltage pre-control device of the second embodiment. [Figure 11] FIG. 10 is a functional block diagram of a voltage pre-control device according to a third embodiment. [Figure 12] 10 is a flowchart showing the overall process of the voltage pre-control device of the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0007] This embodiment relates to a technology that can be applied to system operation operations (particularly voltage control) by general electricity transmission and distribution companies for the distribution system (power distribution network), which is the system part after power distribution, among a series of systems from power generation to consumption (power generation, power transmission, transformation, power distribution, consumption).

[0008] Existing power distribution networks are constructed on the premise of one-way power supply from upstream distribution substations to downstream end consumers. However, in recent years, as a large number of power generation facilities such as solar and wind power plants are interconnected (connected) to the power distribution network, the principle of one-way power supply is beginning to break down, causing reverse power flow, where power is supplied from the power generation facilities to the power distribution network. For this reason, it is important to control the voltage at each point in the power distribution network (for example, at the bus bar) to an appropriate value.

[0009] There are two main types of voltage control. The two types of voltage control are advance control, which predicts that the voltage will deviate from the control range and controls the voltage in advance, and post control, which detects that the voltage has deviated from the control range and then controls the voltage. This embodiment mainly relates to advance voltage control.

[0010] More specifically, this embodiment relates to a technology for controlling in advance the voltage of each bus bar during a certain period in the future (e.g., a certain point in time or a time period) so that it does not deviate from a management range (tolerance range). For example, this embodiment makes it possible to control the voltage of each bus bar in advance by using a planned value (forecast value) of the amount of power generated by a power generation facility connected to a power distribution network and a planned value of the amount of power consumed by a consumer facility, while taking into account error information of the predicted value of the amount of power generated. As a result, even if the accuracy of the predicted value of the amount of power generated is low, the voltage of each bus bar can be controlled with high accuracy so as to minimize deviation from the management range. This embodiment is useful for performing advance voltage control at each point in the power distribution network through electricity market transactions or bilateral electricity transactions from the day before to a target time point on the day.

[0011] Hereinafter, the present embodiment will be described in detail with reference to the drawings.

[0012] First Embodiment 1 shows a general electricity transmission and distribution company system 10 according to this embodiment, and a distribution network (electricity distribution system) connecting a distribution substation 1 to terminal electric power devices (customer equipment 9 and power generation equipment 7). The combination of the general electricity transmission and distribution company system 10 and the electric power devices corresponds to the information processing system according to this embodiment.

[0013] A distribution substation 1 is connected to a power distribution network. Electric power from the distribution substation 1 flows through a high-voltage line 2 (e.g., 6.6 kV) and branches off via a high-voltage busbar 3, a high-voltage busbar pole transformer 4, a low-voltage line 5 (e.g., 100 V / 200 V), and a low-voltage busbar 6, before being supplied to customer facilities 9 such as a medium-sized factory 9a, a small factory 9b, and a house 9c. Customer facilities 9 are examples of power devices that consume electricity. A busbar is a line that receives current from a transmission line (wiring) and distributes it to one or more other transmission lines, and includes various circuits to realize its function.

[0014] Furthermore, power generation facilities (power generation devices) 7 such as solar power generation 7a and wind power generation 7b are interconnected or connected to the power distribution network, and power is supplied from the power generation facilities 7 to the power distribution network. Examples of the power generation facilities 7 include other power generation facilities such as hydroelectric power generation or geothermal power generation. The power generation facilities 7 are variable distributed power sources whose output fluctuates depending on the weather, such as solar power generation, and have uncertainty in output fluctuations. The power generation facilities 7 are an example of power devices that generate and discharge (output) power.

[0015] The above-described configuration of the power distribution network is merely an example for explaining the present embodiment, and other configurations are also possible, such as a configuration in which various other phase modifying equipment or storage batteries are connected to the power distribution network. A storage battery is an example of a power device that discharges (outputs) electric power.

[0016] A VPP (Virtual Power Plant) operator 13a generates electricity (posiwatts) by bundling power generation facilities 7 and managing or controlling resources. The VPP operator 13a earns revenue by selling the generated electricity (posiwatts) through electricity trading. Electricity trading includes at least one of electricity market trading and bilateral trading.

[0017] The VPP operator 13b enters into a contract with a consumer and generates negawatts by managing or controlling the resources of the consumer equipment 9 in response to a demand response request when the supply and demand of electricity is tight. The VPP operator 13b generates revenue by selling the negawatts through electricity trading. A demand response request is issued, for example, by an electric power company or the like when the supply and demand of electricity is tight. In addition, the VPP operator 13b may generate revenue by discharging a storage battery in response to a demand response request and selling the posiwatts through electricity trading.

[0018] The general electricity transmission and distribution company system 10 indirectly controls the resources of the power generation facilities 7 and the consumer facilities 9 by cooperating with the VPP companies 13a and 13b. The VPP companies 13a and 13b sell posiwatts and negawatts through electricity trading, for example, in cooperation with the general electricity transmission and distribution company system 10. The VPP company 13b may also purchase electricity through electricity trading, charge the electricity into a storage battery, or consume the electricity in the consumer facilities 9.

[0019] 2 is a block diagram of a general electricity transmission and distribution company system 10. The general electricity transmission and distribution company system 10 includes a voltage advance control device 14, a power distribution network status monitoring device 15, a VPP company management device 16, and a power generation amount prediction device 17. The information processing device according to this embodiment includes the voltage advance control device 14, and may further include at least one of the power distribution network status monitoring device 15, the VPP company management device 16, and the power generation amount prediction device 17. The information processing device according to this embodiment may be configured as a single computer, or may be configured distributed across multiple computers.

[0020] The distribution network status monitoring device 15 provides the voltage pre-controller 14 with information such as parameters (system parameters) required for calculating the voltage and power flow states of one or more locations (wiring) in the distribution network. In this embodiment, the wiring for which the voltage and other information are calculated is a busbar whose voltage is to be managed. The distribution network status monitoring device 15 includes a memory unit that stores information such as the system parameters. The distribution network status monitoring device 15 reads out the information such as the system parameters stored in the memory unit in response to a request from the voltage pre-controller 14 and provides it to the voltage pre-controller 14.

[0021] The VPP operator management device 16 is configured to be able to communicate with the VPP operators 13a and 13b via wired or wireless communication. The VPP operator management device 16 acquires, from the VPP operator 13a, a power supply plan including a power generation plan for the power generation facility 7 and resource information Ra for the power generation facility 7. The VPP operator management device 16 acquires, from the VPP operator 13b, a power demand plan including a power consumption plan for the consumer equipment 9 and resource information Rb for the consumer equipment 9. The supply and demand plans (supply plan and demand plan) are information required for calculating or estimating the voltage and current state of one or more wiring (buses) in the power distribution network. The resource information Ra and Rb are information required for determining the control content of the power (active power and reactive power) of a bus that can control the power (active power and reactive power). In other words, the power (active power and reactive power) of the bus can be controlled by controlling the active power and reactive power output from or input to resources (power devices) such as the consumer equipment 9 and the power generation facility 7 connected to the bus. The active power and reactive power output from or input to the resource can be controlled, for example, by adjusting the phase of the voltage and current output from or input to the resource. The VPP operator management device 16 provides the supply and demand plan (supply plan and demand plan) and resource information Ra and Rb to the voltage advance control device 14.

[0022] The resource information Ra includes at least two types of information: control cost and control method. The control cost information includes the cost and time for controlling the power generation facility 7, the cost that the VPP operator 13a pays to the power generation facility as compensation for control, and the cost that the general electricity transmission and distribution facility pays to the VPP operator 13a as compensation for control. The control cost information may further include information regarding priority or fairness between the power generation facilities 7. The control method information includes information regarding the control amounts that can be taken by active power (P) and reactive power (Q). For example, the information includes identification information as to whether the value is continuous or discrete, the upper and lower limits of the controllable range in the case of a continuous value, and a set of selectable discrete values ​​in the case of a discrete value. The resource information Rb includes at least two types of information: control cost and control method. The control cost information includes the cost and time for controlling the consumer equipment 9, the cost that the VPP operator 13b pays to the consumer as compensation for control, and the cost that the general electricity transmission and distribution utility pays to the VPP operator 13b as compensation for control. The control cost information may further include information regarding priority or fairness among the consumer equipment 9. The control method information includes information regarding the control amounts that can be taken by active power (P) and reactive power (Q). For example, the information includes information identifying whether the value is continuous or discrete, the upper and lower limits of the controllable range in the case of a continuous value, and a set of selectable discrete values ​​in the case of a discrete value.

[0023] The power generation amount prediction device 17 is configured to be able to communicate with the power generation facilities 7 (7a, 7b) via wired or wireless communication. The power generation amount prediction device 17 acquires actual data on the amount of power generated by the power generation facilities 7 from the power generation facilities 7 and predicts the amount of power generated by the power generation facilities 7. The power generation amount prediction device 17 calculates error information that represents the difference between the predicted amount of power generated in advance and the actual amount of power generated. Errors in the amount of power generated by solar power generation, wind power generation, etc. occur because they are influenced by factors such as the weather on the day. The power generation amount prediction device 17 predicts the amount of power generated by the power generation facilities 7 for a target period (for example, a point in time, a time period, or a day) and provides prediction data including the predicted amount of power generated by the power generation facilities 7 to the voltage pre-control device 14. The power generation amount prediction device 17 also provides a history of error information on past power generation amounts to the voltage pre-control device 14.

[0024] The voltage pre-control device 14 determines the control content of the active and reactive power of the buses that can control the active and reactive power in the distribution network based on the system parameters, the supply and demand plan, the resource information Ra and Rb, the power generation amount forecast data, and the power generation amount error information. This allows the voltage of the buses that are the object of management in the distribution network to be kept within the management range (tolerance range).

[0025] As an example, the busbars that are subject to voltage management are all busbars (high voltage busbar 3 and low voltage busbar 6).

[0026] An example of a controllable busbar is a busbar connected to customer equipment 9 or power generation equipment 7. In the example of Fig. 1, the controllable busbars are the high-voltage busbar 3 connected to solar power generation equipment 7a, the high-voltage busbar 3 connected to wind power generation equipment 7b, the high-voltage busbar 3 connected to medium-sized factory equipment 9a, the low-voltage busbar 6 connected to medium-sized factory equipment 9b, and the low-voltage busbar 6 connected to residential equipment 9c.

[0027] 3 is a hardware block diagram of the voltage pre-control device 14. The voltage pre-control device 14 includes hardware such as a CPU 140, a recording medium 141, a RAM (Random Access Memory) 142, a user interface 143, and a communication interface 144.

[0028] The recording medium 141 is configured by a hard disk drive (HDD) or a solid state drive (SSD), etc. The recording medium 141 stores a computer program required for controlling the voltage pre-control device 14 and a database containing information required for executing the computer program.

[0029] The RAM 142 is configured by a static random access memory (SRAM), a dynamic random access memory (DRAM), a flash memory, etc. The RAM 141 is used as a working area for the CPU 140.

[0030] The user interface 143 is composed of a display, a keyboard, a mouse, etc. The user interface 143 receives input from the user and outputs information to the user.

[0031] The communication interface 144 is an interface for communicating with the power distribution network status monitoring device 15, the VPP operator management device 16, and the power generation prediction device 17. The communication interface 144 communicates through at least one of a wired network and a wireless network. The wired network may be a wired LAN (Local Area Network), a wide area network such as the Internet, or any other type of wired network. The wireless network may be a wireless LAN, a cellular network, or any other type of wireless network.

[0032] The CPU 140 is connected to each of the units 140 to 144 via a bus 145. The CPU 140 controls each of the units 140 to 144 and sequentially executes computer programs stored in the recording medium 141. When executing the computer programs, the CPU 140 reads out the computer programs or information, etc. stored in the recording medium 141 as necessary and stores them temporarily in the RAM 141.

[0033] FIG. 4 is a block diagram showing an information processing unit 100 realized by causing a CPU 140 to execute a computer program stored in a recording medium 141 of the voltage pre-control device 14, and a database 130 stored in the recording medium 141.

[0034] The information processing unit 100 includes a power flow calculation unit 110 (calculation unit) and a processing unit 120. The processing unit 120 includes a voltage sensitivity information generation unit 111 and an optimization unit 112.

[0035] The database 130 stores system parameters D0, a supply and demand plan D1, forecast error information D2, and resource information D3.

[0036] The system parameters D0 are information acquired from the power distribution network status monitoring device 15. The system parameters D0 include various parameters (such as impedance) of each electrical facility in the power distribution network. Each electrical facility includes a bus bar and a transmission line, and further includes power generation facilities and consumer facilities connected to the terminal bus bar. Note that both the bus bar and the transmission line are examples of wiring in the power distribution network.

[0037] The supply and demand plan D1 includes a supply plan Sa and a demand plan Sb acquired from the VPP provider management device 16. The supply plan Sa includes planned power generation values ​​(predicted values ​​of power generation amount) for a target period as a power generation plan for each power generation device 7. The demand plan Sb includes planned power consumption values ​​(predicted values ​​of consumption amount) for a target period as a consumption plan for each consumer facility 9.

[0038] The prediction error information D2 includes error information of the prediction of the power generation amount of the power generation facilities 7 (7a, 7b) acquired from the power generation amount prediction device 17. The error information includes, for example, a predicted value P of the power generation amount for a bus (assumed to be bus k) to which each power generation facility is connected. k and the prediction error ΔP k The error information may be past performance data of a data set of , or information based on the performance data. The error information may be parameters of a parametric statistical model (such as a normal distribution with mean and variance as parameters) when the past performance data is applied to the model.

[0039] The resource information D3 includes resource information Ra of the power generation facility 7 and resource information Rb of the customer facility 9 acquired from the VPP provider management device 16.

[0040] The database 130 stores other information, such as a network diagram, which is data defining the connection relationships between electrical facilities. The network diagram defines the connection relationships between busbars, transmission lines, power generation facilities 7, and customer facilities 9.

[0041] Based on various information stored in the database 130, the information processing unit 100 determines the control contents of the active and reactive power of the busbars that can control the power (active power and reactive power) so as to keep the voltage of the busbar to be managed during the target period within a predetermined control range (tolerance range).

[0042] FIG. 5 is a flowchart showing the overall flow of processing by the information processing unit 100. In step S101, the power flow calculation unit 110 in the information processing unit 100 performs power flow calculation in the power distribution network based on the system parameters D0 and the supply and demand plan D1, and calculates the voltage at each bus bar to be managed for the target period. The power flow calculation unit 110 also obtains a voltage sensitivity coefficient from the inverse matrix of the Jacobian matrix calculated during the power flow calculation. In this embodiment, the bus bars to be managed are all bus bars including the high-voltage bus bar 3 and the low-voltage bus bar 6, but they may be one or more bus bars designated in advance among the high-voltage bus bar 3 and the low-voltage bus bar 6. The bus bar to be managed corresponds to the first wiring in the power distribution system whose voltage is to be managed. The processing of step S101 will be described in detail below.

[0043] FIG. 6 is a flowchart illustrating an example of processing by the power flow calculation unit 110. The power flow calculation unit 110 reads the system parameters D0 and the above-mentioned network diagram (data defining the connection relationships between electrical equipment) from the database 130 (step S10).

[0044] Next, the power flow calculation unit 110 reads the supply and demand plan D1 from the database 130. Based on the supply and demand plan D1, the power flow calculation unit 110 calculates the effective power P of the terminal bus j connected to the power generation facility 7 and the customer facility 9, that is, the bus j whose active and reactive power can be controlled. j Reactive power Q j is set (step S11). The bus k to which the power generation facility is connected is also a bus j whose active and reactive power can be controlled. The bus j whose active and reactive power can be controlled corresponds to a second wiring whose power can be controlled in the power distribution system.

[0045] For example, the power flow calculation unit 110 determines the active power and reactive power of the power to be output from the power generation facility 7 during the target period based on at least one of the supply plan Sa and the demand plan Sb in the supply and demand plan D1, and outputs the determined active power and reactive power to the bus j connected to the power generation facility 7 as active power P j Reactive power Q j Furthermore, based on at least one of the supply plan Sa and the demand plan Sb in the supply and demand plan D1, the active power and reactive power of the power input to the consumer facility 9 (consumed by the consumer facility 9) during the target period are determined. The determined active power and reactive power are input to the bus j connected to the consumer facility 9 as active power P j Reactive power Q j Set as.

[0046] Active power P of bus j j Reactive power Q j Setting the effective power P j Reactive power Q j For data processing purposes, the active and reactive powers of bus j are set to the active power P j Reactive power Q j means to treat it as

[0047] If the settings of active power and reactive power for other buses are required for power flow calculation, the values ​​of active power and reactive power for other buses should be estimated and set using a state estimation method, etc., as appropriate.

[0048] Next, the power flow equation is calculated based on the system parameters D0, the network diagram, and the active power and reactive power set for bus j, etc. (Step S12). Existing power flow calculation methods, such as the DC method or AC method, can be used to calculate the power flow equation. Power flow calculation is the calculation of the power flow through the transmission lines in the power distribution network and the voltage and phase at each point (wiring) such as the bus, when the power generation output of the power generation equipment in the power distribution network and the power consumption of the consumer equipment, etc., are given.

[0049] By calculating the load flow equation, the voltage V for the bus i to be managed is calculated.i =V i (P,Q) is obtained (step S13). Vi(P,Q) means that Vi is a function of P and Q. P and Q are inputs for the power flow calculation, and V i The output is the voltage sensitivity coefficient dV i / dP j ,dV i / dQ j , dV i / dP k is acquired (step S13).

[0050] The power flow calculation unit 110 corresponds to a calculation unit that calculates the voltage of the first wiring (bus i) that is the target of voltage management in the power distribution network, based on a predicted value of the amount of power generated by the power generation device (power generation facility).

[0051] This completes the processing of the flowchart in FIG. 6, and the process proceeds to step S101a in FIG.

[0052] In step S101a of FIG. 5, the processing unit 120 determines for each bus bar to be managed whether the calculated voltage is within the control range (tolerance range), i.e., whether it deviates from the control range. The control range is defined, for example, by a lower limit value (first threshold value) and an upper limit value (second threshold value). If the calculated voltage is lower than the lower limit value or higher than the upper limit value, the power flow calculation unit 110 determines that the calculated voltage is not within the control range, i.e., deviates from the control range. If there is at least one bus bar that deviates from the control range (YES), the power flow calculation unit 110 determines that the calculated voltage is not within the control range (V i =V i (P, Q) and voltage sensitivity coefficient dV i / dP j ,dV i / dQ j , dV i / dP k and is provided to the voltage sensitivity information generating unit 111, and the process proceeds to the next step S102.

[0053] If there is no bus bar that is out of the control range (NO), the processing unit 120 determines that control is unnecessary, that is, determines that control of the active and reactive power of the controllable bus bar among the bus bars to be managed is unnecessary, and decides to end the processing of the flow chart in Fig. 5. The processing unit 120 may output information indicating the end of processing to the user interface 143 (display unit).

[0054] In step S102 of Fig. 5, the voltage sensitivity information generation unit 111 in the processing unit 120 generates a voltage sensitivity approximation formula that represents the sensitivity of voltage to active power and reactive power in a controllable bus. To generate the voltage sensitivity approximation formula, the voltage sensitivity information generation unit 111 uses the prediction error information D2 of the power generation amount in the database 130 and the information on the voltage of the bus to be managed calculated by the power flow calculation unit 110 (V i =V i (P,Q)), voltage sensitivity coefficient dV i / dP j ,dV i / dQ j , dV i / dP k The process of step S102 will be described in detail below with reference to the flowchart in FIG.

[0055] FIG. 7 is a flowchart illustrating an example of the process performed by the voltage sensitivity information generating unit 111. As shown in FIG. First, the voltage sensitivity information generator 111 reads the prediction error information D2 of the amount of power generated by the power generation facility 7 from the database 130 (step S20).

[0056] Next, the voltage sensitivity information generating unit 111 generates a plurality of scenarios of prediction errors of the power generation amount based on the prediction error information D2 (step S21). More specifically, for the bus k to which the power generation device 7, the power generation amount of which is to be predicted, is connected, among the bus j whose active and reactive powers are controllable set in step S11 of FIG. 6, a probabilistic ΔP k (Prediction error) is generated. ΔP is generated stochastically. k represents the sample value of the error of the predicted value. ΔP kThe vector [···,ΔP k ,···] is one scenario.

[0057] If a power generation facility that is not included in the power generation forecast is connected to a terminal bus, the bus to which the power generation facility is connected does not need to be treated as bus k. For example, if a hydrogen power generation facility is present and it is assumed that there is sufficient hydrogen, etc., necessary for power generation, a stable power supply is possible, so in this case the bus to which the hydrogen power generation facility is connected does not need to be treated as bus k. On the other hand, if there is variation in the amount of hydrogen supplied, etc., and errors in the power generation amount may occur, the hydrogen power generation facility in question may also be included in the power generation forecast, and the bus to which the hydrogen power generation facility is connected may also be treated as bus k.

[0058] Probabilistically, ΔP k The method for generating the power generation plan value (predicted value of power generation amount) P k Alternatively, a method can be used in which a prediction error is randomly selected from a set of prediction errors that are close to the predicted value in past performance data. Alternatively, a parametric statistical model (such as a normal distribution) can be used to calculate ΔP k It is also possible to obtain or numerically calculate the prediction error assuming that ΔP k Based on the probability distribution or probability density distribution of ΔP k may be obtained probabilistically.

[0059] By performing the above trial multiple times, multiple scenarios w (w=1, 2, 3, ...) are generated, i.e., multiple vectors containing sample values ​​of prediction errors for multiple buses k are generated.

[0060] Next, the voltage sensitivity information generating unit 111 calculates the voltage sensitivity information based on the scenario [···,ΔP k ,...] to generate a voltage sensitivity approximation formula (step S23). The voltage sensitivity for scenario w at bus i subject to voltage management is calculated as ΔV i w Then, the voltage sensitivity approximation formula is expressed as Equation 1.

number

[0061] ΔP j is a variable (first variable) that represents the control amount (change amount) of the active power of the bus j to be controlled. ΔQ j is a variable (second variable) that represents the control amount (change amount) of the reactive power of the bus j to be controlled. j and ΔQ j The controlled variable represented by corresponds to the first controlled variable which is the controlled variable of power (active power and reactive power) for the wiring (bus j) that can control the power (active power and reactive power).

[0062] dV i / dP j is the voltage V of the bus i to be controlled with respect to the active power Pj of the bus j to be controlled. i represents the voltage sensitivity coefficient of dV i / dP j corresponds to the first coefficient that represents the change in the voltage at bus i relative to the change in the control amount of the active power at bus j.

[0063] dV i / dQ j is the reactive power Q of the bus j to be controlled j The voltage V of the bus i under management i represents the voltage sensitivity coefficient of dV i / dQ j corresponds to the second coefficient that represents the change in the voltage at bus i relative to the change in the controlled variable of reactive power at bus j.

[0064] dV i / dP k is the predicted power generation amount P of bus k of power generation facility 7 k The voltage V of the bus i under management i Represents the voltage sensitivity coefficient (third coefficient) of dV i / dP k corresponds to the third coefficient that represents the change in the voltage of the bus i relative to the change in the predicted value of the power generation amount of the power generation device (power generation facility 7).

[0065] δP kw represents the prediction error (sample value of the prediction error) indicated by the scenario w for the bus k of the power generation facility 7.

[0066] ΔV i w corresponds to a third variable that represents the amount of change in voltage of the bus i to be managed. The voltage sensitivity information generator 111 generates the third variable based on the first coefficient, the second coefficient, the third coefficient, the first variable, the second variable, and the scenario w (sample value). The same number of third variables as the number of scenarios w are generated.

[0067] Coefficient (dV i / dP j , dV i / dQ j , dV i / dP k ) are obtained as a result of the processing in step S101 (power flow calculation) in FIG. 5, but it is also possible to store the coefficients separately in a database and obtain the coefficients from the database. In this case, the processing to obtain the coefficients in step S101 (power flow calculation) may be omitted.

[0068] By performing the loop process of steps S22 to S24 for the scenarios as many times as there are scenarios, voltage sensitivity approximation formula (1) is generated as many times as there are scenarios.

[0069] In step S103 of FIG. 5, the optimization unit 112 in the processing unit 120 calculates the control amounts of active power and reactive power for the bus j to be controlled based on the resource information D3 (resource information Ra of the power generation facility, resource information Rb of the consumer facility) and the voltage sensitivity approximation formula. The control amount takes a continuous amount or a discrete value according to the characteristics of the actual resource to be controlled (consumer facility, power generation facility, etc.) connected to the bus j. The control amount in this embodiment may be either a continuous amount or a discrete value. The processing of step S103 will be described in detail below using the flowchart in FIG. 8.

[0070] FIG. 8 is a flowchart illustrating an example of the processing performed by the optimization unit 112. First, the optimization unit 112 reads the resource information D3 from the database 130 (step S30).

[0071] The optimization unit 112 calculates ΔP based on the resource information D3 and the voltage sensitivity approximation formula. j Cost coefficient wp for (first variable) j , and ΔQ j Cost coefficient wq for (second variable) j The objective function shown in Equation 2 is generated using the above (step S31). j (first variable) and ΔQ j (second variable).

number

[0072] Equation 2 means minimizing the cost of control. Cost coefficient wp j , wq j is calculated based on the resource information D3. There are various possible definitions for costs, such as the cost and time required to control power generation facilities or consumer facilities, the cost paid by the VPP operator to the power generation facility or consumer facility as compensation for control, and the cost paid by the general electricity transmission and distribution utility to the VPP operator as compensation for control.

[0073] The optimization unit 112 calculates the cost coefficient wp j , wq j may be calculated based on at least one of these costs and time. In addition to the cost and time, a coefficient that takes into account the priority or fairness between facilities, a cost coefficient wp j , wq j You can also calculate the cost coefficient wp j , wq j It is conceivable that it can be calculated in various other ways.

[0074] Cost coefficient wp j , wq j is calculated by the optimization unit 112, and the cost coefficient wp j , wq jmay be stored in the resource information D3. In this case, the optimization unit 112 uses the cost coefficient wp j , wq j The objective function can be generated using

[0075] Next, constraint conditions for the objective function are generated (step S32). There are various types of constraint conditions, but in this embodiment, three types of constraint expressions are shown as examples of constraint conditions.

[0076] The first is an approximate equation (Equation 1) for the voltage sensitivity of scenario w in the bus i to be managed described above.

[0077] The second is an equation that expresses the constraint that the voltage or the voltage statistics value at the bus i to be managed is included in the management range (first range or allowable range), and is expressed as Equation 3.

number

[0078] Here, the upper equation of Equation 3 is the voltage V after control. i +ΔV i is equal to or greater than the lower limit of the control range, and the lower equation of Equation 3 is the voltage V after control. i +ΔV i is equal to or less than the upper limit of the control range. The left side of the upper and lower expressions in Equation 3 is V for all scenarios w. i +ΔV i w For the distribution of

[0079] For example, when α=β=0.5, it means that the post-control voltage falls within the control range as the median of the scenario. When 0<α<β<1, it means that the post-control voltage falls within the control range under probabilistically stricter conditions. When 1>α>β>0, it means that the post-control voltage falls within the control range under probabilistically looser conditions.

[0080] Note that although Equation 3 takes the percentile point of the scenario distribution, this embodiment is not limited to this definition, and it is also possible to take other statistical values, such as the expected value of the scenario distribution or CVaR (Conditional Value at Risk).

[0081] Equation 3 is ΔV i w is a third variable that represents the amount of change in the voltage of the bus i to be managed, as defined in the above-mentioned formula 1. Therefore, formula 3 expresses the constraint that the sum of the third variable and the voltage Vi of the bus i is included in the management range (first range or allowable range).

[0082] The third is the control amount ΔP of the active power at the bus j to be controlled. j and reactive power control amount ΔQ j is a constraint on the range of

number

[0083] Equation 4 is ΔP j ΔQ j is a constraint equation when the active power and reactive power can be controlled continuously, but there can also be a constraint equation when the active power and reactive power are controlled discretely. In that case, ΔP j from a set of discrete values ​​of active power, and ΔQ j and a constraint equation that selects from a set of discrete values ​​of reactive power.

[0084] In the optimization calculation of step S33, ΔP is calculated based on the objective function (Equation 2) and the constraints (Equations 1, 3, and 4). j (first variable) and ΔQ j This calculation is a so-called scenario optimization that statistically considers multiple scenarios to find the optimal solution, as shown in Equation 3, and can be performed using software such as a solver for linear programming problems.

[0085] In step S34, the control amount ΔP for the bus j to be controlled obtained in step S33 is calculated. j ΔQ j The information indicating this is output to the display unit of the user interface 143 (step S34).

[0086] Controlled amount ΔP j ΔQ j For example, the communication interface 144 of the voltage pre-control device 14 controls (adjusts) the active power and reactive power of the bus j based on the information indicating the controlled variable ΔP j ΔQ j The VPP provider may transmit information indicating the control amount ΔP to a server of the VPP provider (13a or 13b) that has a contract with a power generation provider or a consumer that owns power generation equipment or consumer equipment related to the bus j. Based on the received information, the VPP provider's server may transmit a request to the power generation equipment or consumer equipment to control the active power and reactive power of the corresponding bus j. Based on the received request, the power generation equipment or consumer equipment may adjust the active power and reactive power of the bus j connected to the power generation equipment or consumer equipment by controlling the active power and reactive power of the power that is output or input. In addition, the VPP provider may transmit a control amount ΔP j ΔQ j Based on the information indicating the amount of electricity to be traded in the spot market on the previous day in the electricity trading market, the amount of electricity to be traded in the spot market on the previous day may be determined, and the amount of electricity input / output to / from the power generation facility or the consumer facility on that day may be adjusted by selling or purchasing the electricity. This makes it possible to perform voltage control in advance for that day on the bus to which the power generation facility or the consumer facility is connected.

[0087] As described above, according to the first embodiment, the control amounts of the active power and reactive power of each controllable bus are determined taking into consideration prediction errors in the amount of power generated by power generation facilities such as photovoltaic power generation and wind power generation. This makes it possible to determine control amounts that are robust against errors in the prediction of the amount of power generated by power generation facilities such as photovoltaic power generation and wind power generation. In other words, regardless of the prediction accuracy of the amount of power generated, it is possible to keep the voltage at each bus to be managed within the control range with high accuracy.

[0088] (Variation) Although Equation 1 and Equation 2 in the first embodiment described above include both a term related to active power and a term related to reactive power, only one of them may be included. Also, instead of the terms related to active power and reactive power, a term related to apparent power may be included. Also, a term related to power factor may be included. In the above embodiment, the prediction error of the amount of power generation is handled, but the prediction error of the amount of power consumption may also be handled. In this case, the prediction error of the amount of power generation in the description of the above embodiment may be replaced with the prediction error of the amount of power consumption, and similar processing may be performed.

[0089] Second Embodiment In addition to the first embodiment described above, the second embodiment incorporates iterative calculations based on convergence judgment, thereby reducing model errors in the voltage sensitivity approximation formula and enabling the output of more accurate control variables for active and reactive power. The first and second embodiments are almost the same, with some exceptions, so the following description will focus on the parts that are different from the first embodiment, excluding the modified or expanded processing.

[0090] 9 is a block diagram showing an information processing unit 100 that is realized by causing a CPU 140 to execute a computer program stored in a recording medium 141 of the voltage pre-control device 14, and a database 130 that is stored in the recording medium 141. The difference from the first embodiment is that a convergence determination unit 113 is added to the processing unit 120. Elements with the same names as those in FIG. 4 are given the same reference numerals, and detailed descriptions thereof will be omitted.

[0091] The power flow calculation unit 110 calculates the control amount ΔP obtained as a result of the optimization by the optimization unit 112. j ΔQ j Based on this, P of the bus j to be controlled j , Q j The load flow calculation is performed again assuming that the voltage V of the bus i to be managed is controlled (adjusted). i (voltage of the first wiring). The convergence determination unit 113 calculates the calculated voltage V of the bus i. i (Voltage of the first wiring) and the control amount ΔP obtained as a result of the optimization described above j ΔQ jBased on this, the error of the optimization calculation (modeling error) is calculated. The convergence determination unit 113 determines whether the optimization calculation has converged based on the modeling error, that is, whether the modeling error has converged. If the modeling error has converged, the result of the optimization calculation is output. If the modeling error has not converged, the power flow calculation, generation of voltage sensitivity information, and optimization are repeated until the modeling error converges.

[0092] 10 is a flowchart of the overall processing of the information processing unit 100 according to the second embodiment. The difference from the first embodiment is that after the optimization calculation (step S103), the power flow calculation (step S201) is performed again, and then a convergence determination (step S202) is performed to determine whether the error in the optimization calculation (modeling error) has converged. If it is determined that the modeling error has converged (YES in step S202a), the processing of this flowchart ends. If it is determined that the modeling error has not converged (NO in step S202a), the processing returns to the generation process of the voltage sensitivity approximate formula (step S102).

[0093] Steps S201 and S202 that differ from the first embodiment will be described in detail below.

[0094] In step S201 (power flow calculation), the power flow calculation unit 110 calculates ΔP j ΔQ j Using this, the bus j to be controlled is P j +ΔP j Q j +ΔQ j This calculates the power flow when the voltage V i =V i Calculate (P+ΔP, Q+ΔQ).

[0095] ΔP is the difference from the previous P at the bus line i, and ΔQ is the difference from the previous Q at the bus line i. The previous P is calculated by V calculated in step S101. i P in or V calculated in the previous step S201 i The previous Q is P+ΔP at V calculated in step S101.i Q in or V calculated in the previous step S201 i Q+ΔQ in

[0096] In step S201 (convergence determination), the convergence determination unit 113 performs convergence determination using the following equation 5. V in equation 5 i (P,Q) is the previous V i The previous V i is the V calculated in step S101. i Or V calculated in the previous step S201 i is.

number

[0097] The ε on the right side of the upper equation of Equation 5 is the threshold value of the convergence condition. j ΔQ j is the voltage change ΔV i is calculated using the voltage sensitivity approximation formula (Formula 1), which approximates the controlled variable with a linear expression, so it contains a modeling error. The left side of the upper equation of Formula 5 represents this modeling error. If the left side is less than or equal to ε, it can be determined that the modeling error has converged; if not, it can be determined that the modeling error has not yet converged. This convergence determination is performed for all buses i that are subject to voltage management.

[0098] If the result of step S202 (convergence determination) is that the convergence condition of Equation 5 is met for all buses i that are subject to voltage management, the process ends. If the convergence condition is not met for at least one bus i, the process returns to the generation process of the voltage sensitivity approximation equation (step S102) and repeats the process.

[0099] If the convergence condition is satisfied as a result of the iterative processing, the processing unit 120 calculates the sum of the multiple control amounts calculated in the optimization calculation (S103) so far for each active power and reactive power as the control amount ΔP j or ΔQ j The final decision will be made as follows.

[0100] As described above, according to the second embodiment, by performing iterative calculations based on the convergence determination process, it is possible to improve the accuracy of the voltage sensitivity approximation formula and output more accurate control variables for active power and reactive power.

[0101] <Third embodiment> In addition to the second embodiment, the third embodiment obtains multiple different control variable candidates by introducing a perturbation term into the voltage sensitivity coefficient. A control variable candidate with good convergence is selected from the multiple control variable candidates. This makes it possible to improve the efficiency of the convergence loop process and shorten the overall calculation time. Furthermore, when handling discrete control variables in the second embodiment, it is possible to improve the convergence efficiency in situations where the convergence of the iterative calculation may be poor. The second and third embodiments are almost the same except for a few parts, so the following description will focus on the differences from the second embodiment.

[0102] 11 is a block diagram showing an information processing unit 100 that is realized by causing a CPU 140 to execute a computer program stored in a recording medium 141 of the voltage pre-control device 14, and a database 130 that is stored in the recording medium 141. The difference from the second embodiment is that perturbation term information D4 is added to the database 130. Elements with the same names as those in FIG. 11 are given the same reference numerals, and detailed descriptions will be omitted except for modified or expanded processing.

[0103] The perturbation term information D4 is a perturbation value ε ij The set of patterns includes multiple perturbation values ​​ε ij is a small positive or negative number that is randomly generated in advance. ij ,...). For example, a method can be used in which a set of perturbation values ​​is generated multiple times by changing the random seed.

[0104] Fig. 12 is a flowchart of the overall processing of the information processing unit 100 according to the third embodiment. Steps with the same names as those in Fig. 9 are given the same reference numerals, and steps that have been changed or expanded from those in Fig. 9 have "_1" added to the end of the reference numeral. The reference numerals of newly added steps begin with "S3".

[0105] The difference from the second embodiment is that perturbation term information including multiple patterns of perturbation value sets is read (step S301), and loop processing (S302, S102_1, S103, S201, S303) is executed for each perturbation value set. Also, the voltage sensitivity approximation formula generated in the processing of step S102_1 of the loop processing is a formula that takes the perturbation terms into consideration. Also, the convergence determination (step S202_1) is different from the second embodiment.

[0106] Steps S301, S102_1, and S202_1 that are different from the second embodiment will be described in detail below.

[0107] In step S202 (reading perturbation term information), the voltage sensitivity information generating unit 111 reads the perturbation value ε ij The set of perturbation values ​​( ,ε ij ,...) are read as multiple patterns. For each pattern, a loop process (S302, S102_1, S103, S201, S303) is executed.

[0108] For each pattern ( ,ε ij , ···), in step S102_1 (generation of voltage sensitivity approximation formula), a voltage sensitivity approximation formula including a perturbation term expressed in the following formula 6 is generated. That is, a plurality of combinations of perturbation values ​​are generated for the first coefficient, the second coefficient, and the third coefficient, and a voltage sensitivity approximation formula is generated for each combination.

number

[0109] In the convergence determination (step S202_1), the convergence determination unit 113 determines whether the control amount ΔP j ΔQ j Among the candidates, the candidate with the largest number of buses i that satisfy the conditional expression 5 for the convergence judgment, that is, the candidate with the best convergence, is selected as the controlled variable. In this way, the candidate with the best convergence is selected as the controlled variable ΔP j ΔQ j By selecting as above, it is possible to improve the efficiency of the convergence loop process and shorten the overall calculation time. In particular, when a discrete control variable is included, the convergence loop process may not function properly in the second embodiment because the linear approximation of the voltage sensitivity approximation formula does not function properly, but even in such a case, it is possible to obtain a control variable that satisfies the convergence condition by using the third embodiment.

[0110] In this embodiment, dV i / dP j (1st coefficient), dV i / dQ j (2nd coefficient), dV i / dP k Although a perturbation term is added to each of the third coefficients, it is also possible to add a perturbation term to one or two coefficients and not to add a perturbation term to the remaining coefficients. Also, the perturbation value of each term may be generated in a different way.

[0111] As described above, according to the third embodiment, the efficiency of the convergence loop process can be improved, thereby shortening the overall calculation time. Furthermore, according to the third embodiment, convergence calculation can be performed even when a discrete control variable is included.

[0112] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, and are also included in the scope of the invention and its equivalents as defined in the claims.

[0113] This embodiment can also be configured as follows. [Item 1] a processing unit that determines a first control amount, which is a control amount of power in a second wiring that can control power in the power distribution system, based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system that includes the power generation device; An information processing device comprising: [Item 2] The processing unit determines the first control amount based on error information of the predicted value of the power generation amount of the power generation device. Item 1. An information processing device according to item 1. [Item 3] a calculation unit that calculates a voltage of the first wiring based on the predicted value of the amount of power generated by the power generation device; 3. The information processing device according to item 1 or 2, comprising: [Item 4] The controllable power is at least one of active power and reactive power. 4. The information processing device according to any one of items 1 to 3. [Item 5] the processing unit calculates a first coefficient representing a change in voltage of the first wiring relative to a change in a control amount of the active power in the second wiring; a second coefficient representing a change in the voltage of the first wiring relative to a change in the control amount of the reactive power in the second wiring; a third coefficient representing a change in the voltage of the first wiring with respect to a change in the predicted value of the amount of power generated by the power generation device; and determining the control amount of at least one of the active power and the reactive power as the first control amount based on the above. Item 5. An information processing device according to item 4. [Item 6] the processing unit stochastically generates a sample value of an error in the predicted value of the amount of power generated by the power generation device; generating a constraint condition for a voltage range of the first wiring based on the first coefficient, the second coefficient, the third coefficient, a first variable representing a control amount of the active power in the second wiring, a second variable representing a control amount of the reactive power in the second wiring, and the sample value; Calculating values ​​of the first variable and the second variable by calculating an objective function including the first variable and the second variable based on the constraint condition. Item 5. An information processing device according to item 5. [Item 7] The processing unit acquires the sample values ​​based on a probability distribution or a probability density function of the error. Item 7. An information processing device according to item 6. [Item 8] generating a third variable indicating a change amount of voltage of the first wiring based on the first coefficient, the second coefficient, the third coefficient, a first variable indicating a control amount of the active power in the second wiring, a second variable indicating a control amount of the reactive power in the second wiring, and the sample value; The constraint condition is a condition that the sum of the third variable and the voltage of the first wiring is included in a first range. Item 8. The information processing device according to item 6 or 7. [Item 9] The constraint condition is a condition that a statistical value of the sum of the third variable and the voltage of the first wiring is included in the first range. Item 9. An information processing device according to item 8. [Item 10] The error information of the power generation amount is based on a difference between a predicted value of the power generation amount of the power generation device and an actual value of the power generation amount of the power generation device. Item 2 or 3. The information processing device according to item 2 or 3. [Item 11] the power generation device is connected to the second wiring, a calculation unit that sets active power and reactive power in the second wiring based on a predicted value of the power generation amount of the power generation device and performs a power flow calculation to obtain at least one of the first coefficient and the second coefficient and the third coefficient. 10. The information processing device according to any one of items 5 to 9. [Item 12] a calculation unit that calculates a voltage of the first wiring when at least one of the active power and the reactive power in the second wiring is controlled by the first control amount, the processing unit determines whether a convergence condition is satisfied based on a difference between the calculated voltage of the first wiring and a previously calculated voltage of the first wiring; When the convergence condition is not satisfied, the processing unit determines a second control amount, which is a control amount of at least one of the active power and the reactive power in the second wiring, based on the calculated voltage of the first wiring; determining a control amount of at least one of the active power and the reactive power in the second wiring based on the sum of the first control amount and the second control amount; Item 10. The information processing device according to item 8 or 9. [Item 13] the processing unit determines candidates for the first control amount for each perturbation value based on a plurality of perturbation values ​​for at least one of the first coefficient, the second coefficient, and the third coefficient; the processing unit selects one of the plurality of candidates for the first controlled variable as the first controlled variable based on the number of the first wirings that satisfy the convergence condition; The processing unit calculates a voltage of the first wiring when at least one of the active power and the reactive power in the second wiring is controlled by the selected first control amount. Item 13. An information processing device according to item 12. [Item 14] The processing unit generates a plurality of combinations of the perturbation values ​​for the first coefficient, the second coefficient, and the third coefficient, and determines the first control amount for each combination. Item 14. The information processing device according to item 13. [Item 15] The first wiring and the second wiring are bus bars. 15. The information processing device according to any one of items 1 to 14. [Item 16] The active power and the reactive power in the second wiring can be controlled by controlling at least one of the active power and the reactive power input to or output from a power device connected to the second wiring. The information processing device according to any one of items 4 to 9 and 11 to 14. [Item 17] The power device includes at least one of the power generation device, the storage battery, and the consumer device. Item 17. An information processing device according to item 16. [Item 18] a communication unit that changes at least one of the active power and the reactive power input or output by the power device by transmitting information indicating the first controlled variable to the power device or a server that manages the power device; Item 18. The information processing device according to item 16 or 17. [Item 19] A first control amount is determined based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in a power distribution system including the power generation device, the first control amount being a control amount of the power in a second wiring capable of controlling the power in the power distribution system. Information processing methods. [Item 20] determining a first control amount, which is a control amount of power in a second wiring capable of controlling power in the power distribution system, based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; A computer program for causing a computer to execute the above. [Item 21] a processing unit that determines a first control amount, which is a control amount of power in a second wiring that can control power in the power distribution system, based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system that includes the power generation device; a power device connected to the second wiring, The power in the second wiring can be controlled by controlling the power input to or output from the power device. Information processing system. [Explanation of symbols]

[0114] 1 Distribution substation 2 High-voltage lines 3 High voltage busbar 4 High-voltage bus pole transformers 5 Low-voltage lines 6 Low voltage busbar 7 Power generation equipment (power generation equipment) 7a Solar power generation 7b Wind power generation 9 Consumer equipment 9a Medium-sized factory 9b Small Factory 9c housing 10 General Electricity Transmission and Distribution Company System 13a VPP operator 13b VPP operator 14 Voltage Pre-Controller 15 Power distribution network status monitoring device 16 VPP operator management device 17 Power generation forecasting device 100 Information Processing Section 110 Tidal flow calculation section 111 Voltage sensitivity information generation unit 112 Optimization Department 113 Convergence judgment unit 120 Processing section 130 databases 141 Recording Media 143 User Interface 144 Communication Interface 145 Bus

Claims

1. a processing unit that determines a first control amount, which is a control amount of power in a second wiring that can control power in the power distribution system, based on a predicted value of power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; a calculation unit that calculates a voltage of the first wiring based on the predicted value of the amount of power generated by the power generation device; An information processing device comprising:

2. The processing unit determines the first controlled variable based on error information of the predicted value of the amount of power generated by the power generation device. The information processing device according to claim 1 .

3. The controllable power is at least one of active power and reactive power. The information processing device according to claim 1 .

4. A processing unit that determines a first control amount, which is a control amount of the power in a second wiring that can control the power in the power distribution system, based on a predicted value of the power generation amount of at least one power generation device and the voltage of a first wiring in the power distribution system including the power generation device, the controllable power is at least one of active power and reactive power; The processing unit calculates a first coefficient representing a change in voltage of the first wiring relative to a change in a control amount of the active power in the second wiring; a second coefficient representing a change in the voltage of the first wiring relative to a change in the controlled amount of the reactive power in the second wiring; a third coefficient representing a change in the voltage of the first wiring relative to a change in the predicted value of the amount of power generated by the power generation device; and determining the control amount of at least one of the active power and the reactive power as the first control amount based on the above. Information processing device.

5. the processing unit stochastically generates a sample value of an error in the predicted value of the amount of power generated by the power generation device; generating a constraint condition for a range of a voltage of the first wiring based on the first coefficient, the second coefficient, the third coefficient, a first variable representing a control amount of the active power in the second wiring, a second variable representing a control amount of the reactive power in the second wiring, and the sample value; Calculating values ​​of the first variable and the second variable by calculating an objective function including the first variable and the second variable based on the constraint condition. The information processing device according to claim 4 .

6. The processing unit acquires the sample values ​​based on a probability distribution or a probability density function of the error. The information processing device according to claim 5 .

7. generating a third variable indicating a change amount of voltage of the first wiring based on the first coefficient, the second coefficient, the third coefficient, a first variable indicating a control amount of the active power in the second wiring, a second variable indicating a control amount of the reactive power in the second wiring, and the sample value; The constraint condition is a condition that the sum of the third variable and the voltage of the first wiring is included in a first range. The information processing device according to claim 5 .

8. The constraint condition is a condition that a statistical value of the sum of the third variable and the voltage of the first wiring is included in the first range. The information processing device according to claim 7 .

9. The error information of the power generation amount is based on a difference between a predicted value of the power generation amount of the power generation device and an actual value of the power generation amount of the power generation device. The information processing device according to claim 2 .

10. the power generation device is connected to the second wiring, a calculation unit that sets active power and reactive power in the second wiring based on a predicted value of the power generation amount of the power generation device and performs a power flow calculation to obtain at least one of the first coefficient and the second coefficient and the third coefficient. The information processing device according to claim 4 .

11. a calculation unit that calculates a voltage of the first wiring when at least one of the active power and the reactive power in the second wiring is controlled by the first control amount, the processing unit determines whether a convergence condition is satisfied based on a difference between the calculated voltage of the first wiring and a previously calculated voltage of the first wiring; When the convergence condition is not satisfied, the processing unit determines a second control amount, which is a control amount of at least one of the active power and the reactive power in the second wiring, based on the calculated voltage of the first wiring; determining a control amount of at least one of the active power and the reactive power in the second wiring based on the sum of the first control amount and the second control amount; The information processing device according to claim 7 .

12. the processing unit determines candidates for the first control amount for each perturbation value based on a plurality of perturbation values ​​for at least one of the first coefficient, the second coefficient, and the third coefficient; the processing unit selects one of the plurality of candidates for the first controlled variable as the first controlled variable based on the number of the first wirings that satisfy the convergence condition; The processing unit calculates a voltage of the first wiring when at least one of the active power and the reactive power in the second wiring is controlled by the selected first control amount. The information processing device according to claim 11.

13. The processing unit generates a plurality of combinations of the perturbation values ​​for the first coefficient, the second coefficient, and the third coefficient, and determines the first control amount for each combination. The information processing device according to claim 12.

14. The first wiring and the second wiring are bus bars. The information processing device according to claim 1 or 4.

15. The active power and the reactive power in the second wiring can be controlled by controlling at least one of the active power and the reactive power input to or output from a power device connected to the second wiring.

5. The information processing device according to claim 3 or 4.

16. The power device includes at least one of the power generation device, the storage battery, and the consumer device. The information processing device according to claim 15.

17. a communication unit that changes at least one of the active power and the reactive power input or output by the power device by transmitting information indicating the first controlled variable to the power device or a server that manages the power device; The information processing device according to claim 15.

18. determining a first control amount, which is a control amount of power in a second wiring capable of controlling power in the power distribution system, based on a predicted value of power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; calculating a voltage of the first wiring based on the predicted value of the amount of power generated by the power generation device; Information processing methods.

19. determining a first control amount, which is a control amount of power in a second wiring capable of controlling power in the power distribution system, based on a predicted value of power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; calculating a voltage of the first wiring based on the predicted value of the amount of power generated by the power generation device; A computer program for causing a computer to execute the above.

20. a processing unit that determines a first control amount, which is a control amount of power in a second wiring that can control power in the power distribution system, based on a predicted value of power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; a calculation unit that calculates a voltage of the first wiring based on the predicted value of the amount of power generated by the power generation device; a power device connected to the second wiring, The power in the second wiring can be controlled by controlling the power input to or output from the power device. Information processing system.

21. A method for determining a first control quantity, which is a control quantity of the power in a second wiring capable of controlling the power in the power distribution system, based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device; the controllable power is at least one of active power and reactive power; a first coefficient representing a change in the voltage of the first wiring relative to a change in the control amount of the active power in the second wiring; a second coefficient representing a change in the voltage of the first wiring relative to a change in the controlled amount of the reactive power in the second wiring; a third coefficient representing a change in the voltage of the first wiring relative to a change in the predicted value of the amount of power generated by the power generation device; and determining the control amount of at least one of the active power and the reactive power as the first control amount based on the above. Information processing methods.

22. A method for determining a first control quantity, which is a control quantity of power in a second wiring capable of controlling power in a power distribution system, based on a predicted value of the power generation amount of at least one power generation device and a voltage of a first wiring in the power distribution system including the power generation device, by a computer; the controllable power is at least one of active power and reactive power; The steps include: a first coefficient representing a change in the voltage of the first wiring relative to a change in the control amount of the active power in the second wiring; a second coefficient representing a change in the voltage of the first wiring relative to a change in the controlled amount of the reactive power in the second wiring; a third coefficient representing a change in the voltage of the first wiring relative to a change in the predicted value of the amount of power generated by the power generation device; and determining the control amount of at least one of the active power and the reactive power as the first control amount based on the above. Computer program.

23. A processing unit that determines a first control amount, which is a control amount of the power in a second wiring that can control power in the distribution system, based on a predicted value of the power generation amount of at least one power generation device and the voltage of a first wiring in the distribution system including the power generation device; a power device connected to the second wiring, the controllable power is at least one of active power and reactive power; The processing unit calculates a first coefficient representing a change in voltage of the first wiring relative to a change in a control amount of the active power in the second wiring; a second coefficient representing a change in the voltage of the first wiring relative to a change in the controlled amount of the reactive power in the second wiring; a third coefficient representing a change in the voltage of the first wiring relative to a change in the predicted value of the amount of power generated by the power generation device; determining the control amount of at least one of the active power and the reactive power as the first control amount based on the above; The power in the second wiring can be controlled by controlling the power input to or output from the power device. Information processing system.

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