Electric system management system and electric system management method

Abstract

To generate an electric system plan to maximize the amount of renewable energy sources connected while ensuring the stability of the electric system and compliance with the environmental standard.SOLUTION: An electric system management device includes a system plan generation part that generates system plan information indicating an electric system facility plan that satisfies predetermined constraints, a renewable energy generation potential amount calculation part that calculates the amount of electricity that can be generated for each mesh area by dividing the area to be planned into multiple mesh areas and analyzing the regional characteristic information for each mesh area, a renewable energy generation potential amount bus accumulation part that calculates the potential amount of electricity that can be generated by a bus when a renewable energy power source is connected to a bus that satisfies the predetermined distance criteria for each mesh area, and a system renewable energy generation possible amount evaluation part that generates system renewable energy generation possible amount information that indicates the system renewable energy generation possible amount and emission amount of a system plan by performing optimization calculations to maximize the renewable energy generation amount for the system plan in the system plan information.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a power system management system and a power system management method. [Background technology]

[0002] In the power grid, the aging of existing facilities and the expansion of renewable energy sources have forced the reconstruction of the power grid infrastructure. In this context, maximizing the efficiency of capital investment while ensuring the reliability of the power grid has become a major challenge for power companies.

[0003] Conventionally, there have been proposals aimed at determining the prediction error of the amount of power generated by power sources (renewable energy power sources) that utilize renewable energy sources (RES) in a power system. For example, JP 2018-506258 A (Patent Document 1) describes a technology that "provides a system for determining (a) a prediction error and / or (b) a scaling error of wind power generation. The system utilizes a generated time series and a forecast time series for wind-derived power generation and analyzes the temporal correlation in wind fluctuations to quantify (a) a prediction error defined by the deviation between the high frequency components of the forecast time series and the generated time series, and (b) a scaling error defined by the extent to which the temporal correlation is not predicted relative to an accurate predictor of wind fluctuations. Wind fluctuations may exhibit multifractal behavior at the turbine level and / or can be modified to a fractal structure at the power grid level. A memory kernel can be used to reduce the prediction error and the scaling error." [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2018-506258 A Summary of the Invention [Problem to be solved by the invention]

[0005] In recent years, as demand for clean energy has increased, the introduction of renewable energy sources into the power grid has expanded. The amount of electricity generated by renewable energy sources fluctuates due to various factors such as sunlight hours and wind direction, making the supply to the power grid prone to instability. For this reason, the spread of renewable energy sources has given rise to concerns about the stability of the power grid.

[0006] Under these circumstances, electric power companies are faced with the challenge of expanding the installation of RES that can supply electricity appropriate to fluctuating electricity demand while taking profitability into consideration within a limited budget. On the other hand, power transmission companies and others who manage the power system are required to formulate power system plans that ensure the stability of the power system and compliance with environmental standards while expanding the introduction of renewable energy sources. As mentioned above, developing plans to maximize the amount of renewable energy sources connected to the power grid while installing and removing facilities such as transmission lines in appropriate locations and at appropriate times to meet power supply and demand, whose fluctuations are difficult to predict, is a major economic burden in managing the power grid.

[0007] Although Patent Document 1 considers a means for acquiring and suppressing prediction errors in the amount of power generated by renewable power sources such as wind power, it does not anticipate creating a power system plan that takes into account the stability of the entire power system, greenhouse gas emissions, and the economic burden on power companies.

[0008] Therefore, an object of the present disclosure is to provide a power system management means capable of generating a power system plan for maximizing the connection amount of renewable energy sources while ensuring the stability of the power system and compliance with environmental standards. [Means for solving the problem]

[0009] In order to solve the above-mentioned problems, one representative power system management system of the present invention is a power system management system in which a power system management device that generates a power system plan for a power system and a user terminal are connected via a communication network, the power system management device includes a processor, a memory, and a storage unit, the storage unit includes existing facility information indicating existing facilities in a planning target area of ​​the power system, new facility information indicating candidates for new facilities in the planning target area of ​​the power system, equipment failure information indicating a status of equipment failure that may occur in the power system, power supply scenario information indicating a forecast of power supply in the power system, power demand scenario information indicating a forecast of power demand in the power system, renewable energy connection request information indicating a renewable energy power source that is requested to be connected in the power system, emission information indicating an amount of greenhouse gas emission by the power system, power system bus information indicating an existing bus in the power system, and area characteristic information indicating characteristics of the planning target area, and the memory includes the existing facility information, the new facility information, the equipment failure information, the power supply scenario information, the power demand scenario information, and the renewable energy connection request information. the processing instructions for causing the processor to function as a system plan generating unit that generates, based on connection request information, system plan information indicating a power system facility plan that satisfies a predetermined power supply constraint and a predetermined feasibility constraint during a target period; a renewable energy power generation potential calculation unit that divides the plan target area into a plurality of mesh areas and generates renewable energy power generation potential information indicating an amount of power that can be generated by a renewable energy power source in each mesh area by analyzing the regional characteristic information on each mesh area; a renewable energy power generation potential bus integrating unit that integrates a power generation potential when a renewable energy power source is connected to a bus that satisfies a predetermined distance criterion for each mesh area based on the system plan information, the power system bus information, and the renewable energy power generation potential information, and calculates a power generation potential of the bus; and a system renewable energy power generation potential evaluation unit that generates system renewable energy power generation potential information indicating a system renewable energy power generation potential of the system plan and emissions according to the system plan by performing an optimization calculation to maximize renewable energy power generation for the system plan in the system plan information based on the emission information and the power generation potential of the bus, and outputs the information to the user terminal. Effect of the Invention

[0010] According to the present disclosure, it is possible to provide a power system management means capable of generating a power system plan for maximizing the connection amount of renewable energy sources while ensuring the stability of the power system and compliance with environmental standards. Other objects, configurations and effects will become apparent from the following description of the preferred embodiment of the invention. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 illustrates a computer system for implementing an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a diagram illustrating an example of a configuration of a power system management system according to an embodiment of the present disclosure. [Diagram 3] FIG. 3 is a diagram showing a process flow in the power system management system according to an embodiment of the present disclosure. [Figure 4] FIG. 4 is a flowchart showing an overall flow of a power system management method according to an embodiment of the present disclosure. [Diagram 5] FIG. 5 is a flowchart illustrating an example of the flow of a system plan generation process according to an embodiment of the present disclosure. [Figure 6] FIG. 6 is a flowchart showing an example of the flow of the renewable energy power generation potential calculation process according to an embodiment of the present disclosure. [Figure 7] FIG. 7 is a flowchart showing an example of the flow of a renewable energy power generation potential bus integration process according to an embodiment of the present disclosure. [Figure 8] FIG. 8 is a diagram illustrating an example of a flow of a process for evaluating a grid renewable energy power generation potential according to an embodiment of the present disclosure. [Figure 9] FIG. 9 is a diagram illustrating an example of existing facility information according to an embodiment of the present disclosure. [Figure 10] FIG. 10 is a diagram illustrating an example of new facility information according to an embodiment of the present disclosure. [Figure 11]FIG. 11 is a diagram illustrating an example of equipment failure information according to an embodiment of the present disclosure. [Figure 12] FIG. 12 is a diagram illustrating an example of power demand scenario information according to an embodiment of the present disclosure. [Figure 13] FIG. 13 is a diagram illustrating an example of power supply scenario information according to an embodiment of the present disclosure. [Figure 14] FIG. 14 is a diagram illustrating an example of renewable energy connection request information according to an embodiment of the present disclosure. [Figure 15] FIG. 15 is a diagram illustrating an example of wind force information according to an embodiment of the present disclosure. [Figure 16] FIG. 16 is a diagram illustrating an example of solar radiation information according to an embodiment of the present disclosure. [Figure 17] FIG. 17 is a diagram illustrating an example of land information according to an embodiment of the present disclosure. [Figure 18] FIG. 18 is a diagram illustrating an example of system plan information according to an embodiment of the present disclosure. [Figure 19] FIG. 19 is a diagram illustrating an example of renewable energy power generation potential information according to an embodiment of the present disclosure. [Figure 20] FIG. 20 illustrates an example of emission amount information according to an embodiment of the present disclosure. [Figure 21] FIG. 21 is a diagram illustrating an example of bus information according to an embodiment of the present disclosure. [Figure 22] FIG. 22 is a diagram illustrating an example of grid renewable energy power generation potential information according to an embodiment of the present disclosure. [Figure 23] FIG. 23 is a diagram illustrating an example of planned economic evaluation information according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the present invention is not limited to the embodiment. In addition, in the description of the drawings, the same parts are denoted by the same reference numerals.

[0013] In addition, terms such as "first," "second," and "third" may be used to describe various elements or components in this disclosure, but it will be understood that these elements or components should not be limited by these terms. These terms are used only to distinguish one element or component from another element or component. Thus, a first element or component discussed below can also be referred to as a second element or component without departing from the teachings of the inventive concept.

[0014] (Summary of the Invention) As mentioned above, maximizing the amount of renewable energy sources connected to the power grid while developing plans to install and remove facilities such as transmission lines in appropriate locations and at appropriate times to meet power supply and demand fluctuations that are difficult to predict is a major economic burden in managing the power grid.

[0015] In view of this problem, the present disclosure relates to generating a power system facility plan that is future-proof and adheres to reliability. Then, the planning area is divided into mesh areas, and the power generation potential of renewable energy sources is calculated using information on solar radiation and wind power in each area. Then, assuming that each mesh is connected to the nearest bus, the power generation potential of the mesh is integrated to calculate the power generation potential of each bus. Finally, for each system plan, an economic evaluation of the system renewable energy power generation potential and emissions, etc. of the system plan is calculated by an optimization calculation aimed at maximizing the renewable energy power generation amount (i.e., minimizing emissions) using the renewable energy power generation potential as a variable that maximizes it.

[0016] In this way, it is possible to generate a power system plan (note that in this disclosure, this may be abbreviated to "system plan") for maximizing the amount of renewable energy sources connected while ensuring the stability of the power system and compliance with environmental standards.

[0017] Next, referring to Fig. 1, a computer system 100 for implementing an embodiment of the present disclosure will be described. The mechanisms and devices of the various embodiments disclosed herein may be applied to any suitable computing system. The main components of the computer system 100 include one or more processors 102, memory 104, a terminal interface 112, a storage interface 113, an I / O (input / output) device interface 114, and a network interface 115. These components may be interconnected via a memory bus 106, an I / O bus 108, a bus interface unit 109, and an I / O bus interface unit 110.

[0018] Computer system 100 may include one or more general purpose programmable central processing units (CPUs) 102A and 102B, collectively referred to as processors 102. In some embodiments, computer system 100 may include multiple processors, while in other embodiments, computer system 100 may be a single CPU system. Each processor 102 executes instructions stored in memory 104 and may include an on-board cache.

[0019] In one embodiment, memory 104 may include random access semiconductor memory, storage devices, or storage media (either volatile or non-volatile) for storing data and programs. Memory 104 may store all or a portion of the programs, modules, and data structures that implement the functions described herein. For example, memory 104 may store a power system management application 150. In one embodiment, power system management application 150 may include instructions or descriptions for executing on processor 102 the functions described below.

[0020] In some embodiments, power system management application 150 may be implemented in hardware via semiconductor devices, chips, logic gates, circuits, circuit cards, and / or other physical hardware devices instead of or in addition to a processor-based system. In some embodiments, power system management application 150 may include data other than instructions or descriptions. In some embodiments, cameras, sensors, or other data input devices (not shown) may be provided to communicate directly with bus interface unit 109, processor 102, or other hardware of computer system 100.

[0021] Computer system 100 may include a bus interface unit 109 that provides communication between processor 102, memory 104, display system 124, and I / O bus interface unit 110. I / O bus interface unit 110 may couple to an I / O bus 108 for transferring data to and from various I / O units. I / O bus interface unit 110 may communicate via I / O bus 108 with multiple I / O interface units 112, 113, 114, and 115, also known as I / O processors (IOPs) or I / O adapters (IOAs).

[0022] Display system 124 may include a display controller, a display memory, or both. The display controller may provide video, audio, or both data to display device 126. Computer system 100 may also include one or more sensors or other devices configured to collect data and provide the data to processor 102.

[0023] For example, computer system 100 may include biometric sensors to collect heart rate data, stress level data, etc., environmental sensors to collect humidity data, temperature data, pressure data, etc., and motion sensors to collect acceleration data, movement data, etc. Other types of sensors may also be used. Display system 124 may be connected to a display device 126, such as a standalone display screen, a television, a tablet, or a handheld device.

[0024] The I / O interface unit provides the ability to communicate with various storage or I / O devices. For example, the terminal interface unit 112 may be attached to user I / O devices 116, such as user output devices, such as a video display, a television with speakers, and user input devices, such as a keyboard, a mouse, a keypad, a touchpad, a trackball, buttons, a light pen, or other pointing device. A user may use a user interface to enter input data or instructions to the user I / O devices 116 and the computer system 100, and receive output data from the computer system 100, by manipulating the user input devices. The user interface may be displayed on a display, played through speakers, or printed via a printer, for example, via the user I / O devices 116.

[0025] Storage interface 113 allows attachment of one or more disk drives or direct access storage device 117 (usually a magnetic disk drive storage device, but may be an array of disk drives or other storage devices configured to appear as a single disk drive). In some embodiments, storage device 117 may be implemented as any secondary storage device. Contents of memory 104 may be stored in storage device 117 and retrieved from storage device 117 as needed. I / O device interface 114 may provide an interface to other I / O devices such as printers, fax machines, etc. Network interface 115 may provide a communications path to allow computer system 100 and other devices to communicate with each other. This communications path may be, for example, network 130.

[0026] In one embodiment, computer system 100 may be a device that receives requests from other computer systems (clients) without a direct user interface, such as a multi-user mainframe computer system, a single-user system, or a server computer, etc. In other embodiments, computer system 100 may be a desktop computer, a portable computer, a laptop, a tablet computer, a pocket computer, a telephone, a smartphone, or any other suitable electronic device.

[0027] Next, a configuration of a power system management system according to an embodiment of the present disclosure will be described with reference to FIG.

[0028] Fig. 2 is a diagram showing an example of a configuration of a power system management system 200 according to an embodiment of the present disclosure. The power system management system 200 is a system that generates a power system plan for maximizing the connection amount of renewable energy power sources while ensuring the stability of the power system and compliance with environmental standards, and is composed of a power system management device 1, a client terminal 2, an equipment specification management unit 3, a geographic information management unit 4, a renewable energy introduction management unit 5, and a communication network 6, as shown in Fig. 2. The power system management device 1, the client terminal 2, the equipment specification management unit 3, the geographic information management unit 4, and the renewable energy introduction management unit 5 are connected to each other via the communication network 6 so as to be able to communicate with each other.

[0029] The power system management device 1 is a device that generates a power system plan and provides it to a client such as a power company or a power system manager, and may be, for example, a computing device such as a server device. In an embodiment, the power system management device 1 may be implemented as a computer system shown in FIG. 2, the power system management device 1 includes a processor 10, a memory 20, and a storage unit 30. The processor 10, the memory 20, and the storage unit 30 are connected to each other via an internal bus 40.

[0030] The processor 10 is a CPU that controls the operation of the power system management device 1 and executes the functions of each functional unit described below. The memory 20 is a memory that temporarily stores data and programs. The storage unit 30 is a storage unit that stores a power system management application 150 that implements the functions according to the embodiment of the present disclosure and various information.

[0031] As shown in FIG. 2, the power system management application 150 includes a system plan generation unit 201 that generates a power system plan, a renewable energy power generation potential calculation unit 202 that divides a planning area into rectangular mesh areas for a power system equipment plan and calculates the power generation potential of the renewable energy equipment using information on solar radiation and wind power in each area, a renewable energy power generation potential bus integration unit 203 that integrates the power generation potential assuming that the mesh is connected to the nearest bus and calculates the power generation potential of each bus, and a system renewable energy power generation potential evaluation unit 204 that calculates the renewable energy power generation potential of the entire power system for each system plan. Note that detailed functions of the system plan generation unit 201, the renewable energy power generation potential calculation unit 202, the renewable energy power generation potential bus integration unit 203, and the system renewable energy power generation capacity evaluation unit 204 will be described with reference to Figures 3 to 8, and therefore description thereof will be omitted here.

[0032] The memory unit 30 also includes, as information used to generate a power system plan, existing facility information 501, new facility information 502, facility failure information 503, power demand scenario information 504, power supply scenario information 505, renewable energy connection request information 506, wind power information 507, solar radiation information 508, land information 509, power system plan information 510, renewable energy power generation potential information 511, emissions information 512, bus information 513, system renewable energy power generation capacity information 514, and planned economic evaluation information 515. The details of this information will be described later with reference to FIGS. 9 to 23, and therefore will not be described here.

[0033] The client terminal 2 is a terminal device used by a client, such as a power company or a power system manager, who receives a power system plan provided by the power system management device 1. As shown in Fig. 2, the client terminal 2 may include an input unit 50, such as a mouse or a keyboard, for inputting information, and an output unit 60, such as a display, for receiving and confirming information.

[0034] The equipment specification management unit 3 is a functional unit for acquiring and storing information about equipment in the power system, such as power transmission lines, substations, buses, transformers, and circuit breakers. In one embodiment, the equipment specification management unit 3 may be a server device that is managed by, for example, a power company or a power system manager and configured to be accessible from the power system management device 1.

[0035] The geographic information management unit 4 is a functional unit for acquiring and storing information relating to the region in which each substation in the power system is installed. In one embodiment, the geographic information management unit 4 may acquire and manage information relating to the climate, annual solar radiation, topography, land use plan, and the like of the region in which each substation is installed. In one embodiment, the geographic information management unit 4 may be, for example, a server device managed by a power company or a power system manager and configured to be accessible from the power system management device 1.

[0036] The renewable energy introduction management unit 5 is a functional unit for acquiring and storing information on the maximum RES power generation amount expected in each region where the introduction of renewable energy power sources is being considered. In one embodiment, the renewable energy introduction management unit 5 may be, for example, a server device managed by a power company or a power system manager and configured to be accessible from the power system management device 1.

[0037] According to the power system management system 200 configured as described above, the power system management application 150 can generate a power system plan for maximizing the connection amount of renewable energy sources while ensuring the stability of the power system and compliance with environmental standards.

[0038] Next, a process flow in the power system management system according to an embodiment of the present disclosure will be described with reference to FIG.

[0039] 3 is a diagram showing a process flow in the power system management system according to an embodiment of the present disclosure. A process command for implementing a functional unit constituting the power system management application 150 stored in the storage unit 30 is called into the memory 20 and implemented by the processor 10 based on an execution command from a user.

[0040] First, the system plan generating unit 201 uses existing facility information 501, new facility information 502, facility failure information 503, power demand scenario information 504, power supply scenario information 505, and renewable energy connection request information 506. By executing an optimization calculation, the system plan generating unit 201 generates system plan information 510 indicating a feasible power system facility plan while satisfying constraints such as power supply constraints and feasibility constraints of the power system during a target period. The power supply constraint here is a constraint that defines the power supply to maintain the stability of the power system, and may be, for example, a constraint that specifies that the power flow in the transmission lines, the power generation amount at the power plants, and the supply interference power of the buses are within an acceptable range under normal conditions and for each equipment failure situation. Feasibility constraints are constraints for evaluating whether a particular power system installation plan is feasible, and may be defined based on time, budget, materials, manpower, and the like.

[0041] Next, the renewable energy power generation potential calculation unit 202 divides the planning target area into rectangular mesh areas, analyzes wind power information 507, solar radiation information 508, and land information 509 of each area, and generates renewable energy power generation potential information 511 that indicates the renewable energy power generation potential of each mesh within the system area.

[0042] Next, the renewable energy power generation potential bus integration unit 203 integrates the power generation potential by assuming that each mesh is connected to the nearest bus, using the system plan information 510 and the renewable energy power generation potential information 511, and calculates the power generation potential of each bus.

[0043] Next, the system renewable energy power generation potential evaluation unit 204 uses the renewable energy power generation potential information 511, the emission amount information 512, and the bus information 513 to generate system renewable energy power generation potential information 514 indicating the system renewable energy power generation potential and emission amount of the system plan by optimization calculation aimed at maximizing the renewable energy power generation amount (i.e., minimizing the emission amount) for each system plan in the system plan information 510, with the renewable energy power generation potential as a variable that maximizes the potential amount. In addition, the system renewable energy power generation potential evaluation unit 204 may generate planned economic evaluation information 515 indicating various costs for implementing each system plan in the system plan information 510.

[0044] According to the power system management system 200 configured as described above, the power system management application 150 calculates the maximum power generation amount of renewable energy power sources for a power system plan that is feasible in the future and complies with reliability, thereby making it possible to generate a power system plan for maximizing the connection amount of renewable energy power generation while ensuring stability of the power system and compliance with environmental standards.

[0045] Next, an overall flow of a power system management method according to an embodiment of the present disclosure will be described with reference to FIG.

[0046] 4 is a flowchart showing an overall flow of a power system management method 1000 according to an embodiment of the present disclosure. The power system management method 1000 is a method for generating a power system plan for maximizing the connection amount of renewable energy power sources while ensuring the stability of the power system and compliance with environmental standards by generating a power system plan and calculating the maximum connection amount of renewable energy power sources while ensuring the reliability of the power system, and is implemented by, for example, a power system plan generation unit 201, a renewable energy power generation potential calculation unit 202, a renewable energy power generation potential bus integration unit 203, and a system renewable energy power generation possible amount evaluation unit 204 shown in FIG. 2 and FIG. 3.

[0047] First, in step S1001, the power system management device 1 receives a designation from the client terminal 2 of a target area (planning target region) for which an installation plan is to be generated.

[0048] Next, in step S1002, information such as the planned years for the power system facility plan and the accident level of the facility to be considered in the system plan is set.

[0049] Next, in step S1003, a plurality of power system plans that are feasible in the future and comply with reliability standards are generated based on existing facility information 501, new facility information 502, facility failure information 503, power demand scenario information 504, power supply scenario information 505, and renewable energy connection request information 506. Details of this process will be described later with reference to FIG. Here, power supply scenario information 505 and power demand scenario information 504 are used as the supply and demand scenario. The power supply scenario information 505 is information indicating the predicted annual fluctuation of power supply and its occurrence probability, and the power demand scenario information 504 is information indicating the predicted annual fluctuation of power demand and its occurrence probability. The existing facility information 501 is information on existing facilities for the planning target area, and the new facility information 502 is information indicating candidates for new facilities for the planning target area. The renewable energy connection request information 506 is information on a renewable energy power source to be connected in the power system, which is transmitted, for example, from a power generation company to a transmission system operator (TSO) that manages the power system.

[0050] Next, in step S1004, the list of the current power supply scenario and candidate power system plans for the power supply scenarios generated in S1003 is acquired and stored in the storage unit 30 as power system plan information 510. This power system plan information 510 is information that makes it possible to support the determination of appropriate timing and locations for installing new facilities and removing existing facilities while suppressing various costs incurred in the operation of the power system.

[0051] Next, in step S1005, the grid area is divided into regional meshes, and the renewable energy power generation potential is calculated using information on solar radiation and wind power in each mesh. Details of this process will be described later with reference to FIG.

[0052] Next, in step S1006, bus integration of renewable energy power generation potential is performed for each bus. Details of this process will be described later with reference to FIG.

[0053] Next, in step S1007, a system renewable energy power generation potential calculation is executed to calculate the renewable energy power generation potential of the power system in each system plan. Details of this process will be described later with reference to FIG.

[0054] Next, in step S1008, information on each plan regarding the renewable energy generation capacity of the power grid in S1007 is displayed, and in step S1009, an economic evaluation of the emission amount and the like for each plan is displayed.

[0055] According to the power system management method 1000 configured as described above, by generating a power system plan and calculating the maximum connection amount of renewable energy power sources while ensuring the reliability of the power system, it is possible to generate a power system plan for maximizing the connection amount of renewable energy power sources while ensuring the stability of the power system and compliance with environmental standards.

[0056] Next, with reference to FIG. 5, a flow of a system plan generation process according to the embodiment of the present disclosure will be described.

[0057] The system plan generation unit 201 generates candidates for system plans for the construction of new transmission lines over a planning year based on existing facility information 501, new facility information 502, facility failure information 503, power demand scenario information 504, power supply scenario information 505, and renewable energy connection request information 506.

[0058] In step S1101, a set of existing transmission lines and update candidate transmission lines (also referred to as "update facility candidates" in this disclosure) is generated from existing facility information 501 and new facility information 502. The set of update candidate transmission lines here is a possible combination of removal of existing facilities and installation of new facilities that can meet the renewable energy connection request indicated in the renewable energy connection request information 506.

[0059] Next, in step S1102, a typical supply and demand scenario is generated from the power demand scenario information 504 and the power supply scenario information 505, and an accident level is generated from the equipment failure information 503.

[0060] Next, in step S1103, new facility combinations are comprehensively generated. Next, in step S1104, one unselected combination is selected, and in step S1105, a power flow calculation is performed for the system reflecting the selected combination.

[0061] Next, in step S1106, it is confirmed whether constraint conditions such as predetermined transmission line capacity constraints and power generation capacity constraints are satisfied.

[0062] Next, in step S1107, it is confirmed whether the system plan is feasible, and if it is feasible, in step S1108, the system plan capable of accepting the renewable energy connection request based on the transmission capacity is added to the system plan information 510. In this way, it is possible to generate the system plan information 510 indicating the system plan that can assist in determining the appropriate timing and location for removing the existing facilities. Furthermore, when confirming whether it is feasible in step S1107, it is also possible to generate a system that simulates a failure according to the accident level, and additionally confirm whether it satisfies various capacity constraints and supply interruption power conditions.

[0063] Next, in step S1109, it is confirmed whether all combinations of the new equipment have been evaluated, and if combinations remain, step S1110 is repeated until all combinations have been evaluated.

[0064] Here, a specific example of a process for outputting candidates for a system plan will be described using existing facility information 501, new facility information 502, facility failure information 503, power demand scenario information 504, power supply scenario information 505, and renewable energy connection request information 506. First, in S1101, existing facility information 501 and new facility information 502 are created. In S1102, relevant input parameters are entered, such as the location of the grid, such as "Kanagawa", the planning period, such as "10 years", and the accident level, such as "N-1". Each combination of new facilities (candidates for renewal facilities) is selected, and whether the selected plan is feasible in a future power transmission plan is checked by a power flow calculation of the system reflecting the plan, taking into account the power demand scenario information 504 and the power supply scenario information 505, and a feasible candidate power transmission network plan is output. For example, the plan identifier "P1" of the output system plan information 510 and the facility measure corresponding to this plan are "Install transmission line L45" at time "Y1", which is the first year of the plan, and the facility investment cost of this plan is "50,000 dollars".

[0065] According to the system plan generation process 1100 described above, it is possible to generate a plurality of power system plans that satisfy parameters such as the specified number of years and accident level, and comply with the reliability standards, while supporting the determination of the timing and location for installing new facilities and removing existing facilities.

[0066] Next, with reference to FIG. 6, a flow of a renewable energy power generation potential calculation process according to an embodiment of the present disclosure will be described.

[0067] Fig. 6 is a flowchart showing an example of the flow of a renewable energy power generation potential calculation process 1200 according to an embodiment of the present disclosure. The renewable energy power generation potential calculation process 1200 shown in Fig. 6 is a process that divides a grid area into mesh areas, analyzes wind power information 507, solar radiation information 508, and land information 509 of each area, and calculates the renewable energy power generation potential of each mesh in the grid area, and is executed by the renewable energy power generation potential calculation unit 202 shown in Figs. 2 and 3.

[0068] In step S1201, the renewable energy power generation potential calculation unit 202 generates a mesh of the area around the power grid. Here, generating a mesh of the area means, for example, dividing the planning target area into a plurality of mesh areas having sections of approximately the same size and shape.

[0069] Next, in step S1202, an unspecified mesh area is specified. Next, in step S1203, weather information (solar radiation, wind volume, wind direction, etc.) is collected for the specified mesh. Examples of the collected information are wind information 507 and solar radiation information 508. In this disclosure, weather information and land information may be collectively referred to as "area characteristic information."

[0070] Next, in step S1204, the total potential power generation amount that is possible by introducing equipment into the entire specified mesh area is calculated.

[0071] Next, in step S1205, land information (soil quality, topography, land use, infrastructure) is collected for the specified mesh. An example of the collected information is land information 509.

[0072] Next, in step S1206, the land information is used to calculate a compatibility ratio, which is the ratio of land within the regional mesh that is compatible with renewable energy power generation.

[0073] Next, in step S1207, the matching ratio is multiplied by the expected equipment introduction density to calculate the equipment introduction possibility ratio of the mesh.

[0074] Next, in step S1208, the equipment installable ratio is multiplied by the total potential renewable energy power generation amount to calculate the potential renewable energy power generation amount of the mesh.

[0075] Next, in step S1209, it is confirmed whether or not all meshes have been calculated, and if there are any mesh areas that have not been calculated, the process is repeated in step S1210 until all meshes have been calculated.

[0076] Here, a specific example of a method for calculating the renewable energy power generation potential in a mesh in an area surrounding a power grid using wind power information 507, solar radiation information 508, and land information 509 will be described. First, mesh ID "M3" is selected, and the solar radiation amount of "1400" and capacity index "15" are used together with the mesh coordinates (51.5074, -0.1278), resulting in a solar power generation potential of "2500". Similarly, the wind power generation potential is "3500". Therefore, the values ​​are added up for the specified mesh, and the renewable energy power generation potential becomes "6000". These calculations are performed for all meshes.

[0077] According to the renewable energy power generation potential calculation process 1200 described above, for example, a planning area around a power grid can be divided into mesh areas, and the power generation potential from renewable energy sources can be calculated using information on solar radiation and wind power in each area.

[0078] Next, with reference to FIG. 7, a renewable energy power generation potential bus integration process according to an embodiment of the present disclosure will be described.

[0079] Fig. 7 is a flowchart showing a flow of a bus integration process of renewable energy power generation potential 1300 according to an embodiment of the present disclosure. The bus integration process of renewable energy power generation potential 1300 shown in Fig. 7 is a process for calculating the renewable energy power generation potential of each bus based on the bus information 513 generated by the system plan generation process 1100 shown in Fig. 4 and the renewable energy power generation potential information calculated by the renewable energy power generation potential calculation process 1200 shown in Fig. 6, and is executed by the bus integration unit of renewable energy power generation potential 203 shown in Figs. 2 and 3.

[0080] In step S1301, the renewable energy power generation potential bus integrator 203 specifies an unspecified mesh area.

[0081] Next, in step S1302, the center coordinates of the specified mesh are obtained or calculated.

[0082] Next, in step S1303, the distance between each bus of the route and the specified mesh area is calculated.

[0083] Next, in step S1304, the bus closest to the specified mesh area (that is, the bus that satisfies a predetermined distance standard) is determined.

[0084] Next, in step S1305, the renewable energy power generation potential of the mesh is added to the determined renewable energy power generation potential of the bus.

[0085] Next, in step S1306, it is determined whether the calculation has been completed for all meshes.

[0086] If YES, in step S1307, the renewable energy power generation potential of each bus is stored. If NO, the calculation is repeated for all mesh areas through step S1308.

[0087] Here, a specific example of a calculation result for calculating the renewable energy power generation potential of each bus will be described using the bus information 513 and the renewable energy power generation potential information 511. For a bus identifier "B7", if the coordinates are "(700, 1200)" and there are two meshes that are closest to the bus, namely, the coordinates "(40.7128, 74.0060)" of mesh ID "M1" and the coordinates "(34.0522, 18.2437)" of mesh ID "M2", the potential power generation is "2000" and "3500", respectively, so the renewable energy power generation potential of bus "B7" is 5500.

[0088] According to the renewable energy power generation potential bus integration process 1300 described above, it is possible to calculate the amount of potential renewable energy power generation possible around each bus of a power system, for example.

[0089] Next, a process for evaluating the grid renewable energy power generation potential according to an embodiment of the present disclosure will be described with reference to FIG.

[0090] 8 is a diagram showing an example of the flow of a system renewable energy power generation potential evaluation process 1400 according to an embodiment of the present disclosure. The system renewable energy power generation potential evaluation process 1400 is a process for calculating the system renewable energy power generation potential and emissions of each system plan by optimization calculation aimed at maximizing the renewable energy power generation amount (i.e., minimizing emissions) with the renewable energy power generation potential as a variable having the maximum value for each system plan, and is performed by the system renewable energy power generation potential evaluation unit 204 shown in FIG. 2 and FIG. 3.

[0091] In step S1401, one feasible power system plan is specified in the current supply and demand scenario.

[0092] Next, in step S1402, a generator (simulated renewable energy generator) that maximizes the renewable energy power generation potential of the bus is connected to each bus.

[0093] Next, in step S1403, the system plan is modified to incorporate the renewable energy simulated generator connected in S1402, and modified system plan information is generated. This modified system plan information is system plan information showing a case where a renewable energy simulated generator equivalent to the power generation potential of the bus is connected to the bus.

[0094] Next, in step S1404, an optimization objective function is formulated so as to maximize the amount of power generated from renewable energy under constraints such as predetermined power transmission capacity constraints and power generation capacity constraints.

[0095] Next, in step S1405, an optimization calculation is performed to solve the objective function.

[0096] Next, if a solution to the optimization calculation is found in step S1406, the maximum renewable energy power generation capacity in the grid plan is calculated in step S1407. Here, the emission amount according to the corrected grid plan information may be calculated based on the emission amount information 512 and the calculated renewable energy power generation capacity. After that, information indicating the calculated maximum renewable energy power generation capacity and the emission amount may be stored in the storage unit 30 as grid renewable energy power generation capacity information 514.

[0097] Next, in step S1408, the renewable energy introduction scenario is added to the list as a feasible system plan.

[0098] Next, in step S1409, it is checked whether all system plans have been specified, and if YES, in step S1411, economic evaluation is calculated for the system plans in the list. Here, the system renewable energy power generation potential evaluation unit 204 may generate planned economic evaluation information 515 indicating various costs for implementing each system plan in the corrected system plan information, and store it in the storage unit 30.

[0099] If NO, the process goes to step S1410 and repeats the calculation for all system plans.

[0100] Here, a specific example will be described in which system renewable energy power generation potential information 514 and planned economic evaluation information 515 for each system plan are calculated using system plan information 510 and emission amount information 512. Plan ID "P1" is checked, the facility measure is "Install L45", and the renewable energy power generation amount is maximized and the emission amount is minimized in the five planned years. Finally, the maximized renewable energy power generation amount is "5000" MW, and the emission amount is "1026" t.

[0101] According to the system renewable energy power generation capacity evaluation process 1400 described above, for example, the maximum possible amount of renewable energy power sources in each possible system plan of the power system can be calculated. Furthermore, from among these system plans, it is easy to determine which system plan has the maximum possible amount of renewable energy power sources in the future and can accept the maximum number of renewable energy power source connection requests from power generation companies. Furthermore, it is easy to determine which system plans can comply with environmental standards.

[0102] Next, various types of information used to generate a power system plan according to an embodiment of the present disclosure will be described with reference to FIGS.

[0103] When generating a power system plan, it is desirable to take into consideration existing facilities that have been installed in the power system in the past. In the following, with reference to FIG. 9, existing facility information 501 used by the power system management means according to the embodiment of the present disclosure will be described. The existing facility information 501 may be created in advance, for example, by an administrator of the power system management system 200 via the facility specification management unit 3 shown in FIG. 2, and transmitted from the facility specification management unit 3 to the power system management device 1. In addition, in an embodiment, the existing facility information 501 may be prepared on the client side, for example, a power company, and transmitted from the client terminal 2 to the power system management device 1. As described above, various facilities are used in the power system. For convenience of explanation, the case where the facilities are power transmission lines will be described as an example.

[0104] Fig. 9 is a diagram showing an example of existing facility information 501 according to an embodiment of the present disclosure. As described above, the existing facility information 501 is information related to existing facilities (here, transmission lines) that have been installed in the power system in the past, and may include information such as a transmission line number 501A1, a connection point 1 501A2, a connection point 2 501A3, a transmission line length 501A4, a transmission line reactance 501A5, a transmission line capacity 501A6, and a removal cost 501A7, as shown in Fig. 3.

[0105] The transmission line number 501A1 is information for identifying a specific transmission line. The connection point 1 501A2 is information indicating the bus number which is the starting point of the transmission line. The connection point 2 501A2 is information indicating the bus number which is the end point of the transmission line. The transmission line length 501A4 is information indicating the distance (km) between the coordinates of the bus which is the starting point of the transmission line and the bus which is the end point. The transmission line reactance 501A5 is information indicating the reactance (ohm / km) of the transmission line. The transmission line capacity 501A6 is information indicating the transmission capacity (MW) of the transmission line. If the power in the transmission line exceeds this transmission line capacity, there is a risk that the transmission line will be damaged or burned. The removal cost 501A7 is information indicating the removal cost per unit length of the transmission line (k$ / km). As an example, for the transmission line with the transmission line number "24", the connection point 1 is bus 2, the connection point is bus 4, the transmission line length is 115 km, the transmission line reactance is 0.31 ohm / km, the transmission line capacity is 660 MW, and the removal cost is 700 k$ / km. In this case, the term "bus" refers to a conductor to which several components in a power system, such as generators, loads, and feeders, are connected. In addition, Fig. 9 shows an example in which the removal cost of all transmission lines is "700k$ / km", but in reality, the removal cost varies depending on the timing and location.

[0106] Power systems are required to respond to various situations due to fluctuations in power supply and demand. In addition, various costs in power systems, such as investment costs for installing new facilities, removal costs for removing existing facilities, generation costs for generating electricity, and transmission loss costs due to transmission losses, vary depending on the timing and location. It is also possible to aggregate the power supply scenario information 505 and the power demand scenario information 504 and store them in a scenario DB (not shown) that includes supply and demand scenarios that indicate fluctuations in power supply and power demand that may occur in the power system.

[0107] Fig. 10 is a diagram showing an example of new facility information 502 according to an embodiment of the present disclosure. As described above, the new facility information 502 is information on a facility (here, a transmission line) that may be installed in a power system in the future, and may include information on a transmission line number 502A1, a connection point 1 502A2, a connection point 2 502A3, a transmission line length 502A4, a transmission line reactance 502A5, a transmission line capacity 502A6, and an installation cost 502A7, as shown in Fig. 10. The transmission line number 502A1 is information for identifying a specific transmission line. The connection point 1 502A2 is information indicating the bus number which is the starting point of the transmission line. The connection point 2 502A2 is information indicating the bus number which is the end point of the transmission line. The transmission line length 502A4 is information indicating the distance (km) between the coordinates of the bus which is the starting point of the transmission line and the bus which is the end point of the transmission line. The transmission line reactance 502A5 is information indicating the reactance (ohm / km) of the transmission line. The transmission line capacity 502A6 is information indicating the transmission capacity (MW) of the transmission line. If the power in the transmission line exceeds this transmission line capacity, there is a risk that the transmission line will be damaged or burned. The installation cost 502A7 is information indicating the installation cost per unit length of the transmission line (k$ / km).

[0108] Next, equipment failure information according to the embodiment of the present disclosure will be described with reference to FIG.

[0109] Fig. 11 is a diagram showing an example of equipment failure information 503 according to an embodiment of the present disclosure. As described above, the equipment failure information 503 is information indicating a failure state of equipment that may occur in a power system, and may be generated based on a contingency level input by a user. As shown in Fig. 11, the equipment failure information 503 may include a failure identifier 503A1, an equipment identifier 503A2, a starting bus identifier 503A3, an ending bus identifier 503A4, a failure time 503A5, and a supply disruption power 503A6.

[0110] The fault identifier 503A1 is information that uniquely identifies a specific fault situation. The equipment identifier 503A2 is information that uniquely identifies equipment such as a power transmission line that has failed in a specific fault situation. The starting bus identifier 503A3 is information that indicates the bus number that is the starting point of the equipment such as a power transmission line. The ending bus identifier 503A4 is information that indicates the bus number that is the ending point of the equipment such as a power transmission line. The fault time 503A5 is the planned year (1st year, 2nd year, 5th year, etc.) in which a specific fault situation is scheduled to occur. The supply disruption power 503A6 is information that expresses the maximum value of supply disruption power that is tolerable in a specific fault situation as a percentage of the total demand. As an example, for a fault situation with fault identifier "F2", it is shown that the facility "L45" with "B4" and "B5" as start and end buses may fail in the "first year" of the initial power system plan, resulting in a fault situation in which the supply disruption power is "0.01%" of the total demand.

[0111] Fig. 12 is a diagram illustrating an example of power demand scenario information 504 according to an embodiment of the present disclosure. The power demand scenario information 504 is information indicating a predicted annual fluctuation in power demand and its occurrence probability as a specific power demand scenario, and may include a scenario identifier 504A1, a scenario occurrence probability 504A2, a fluctuation in power demand in the first year 504A3, a fluctuation in power demand in the second year 504A4, a fluctuation in power demand in the third year 504A5, and a fluctuation in power demand in the tenth year 504A6, as shown in Fig. 11. 12 omits the fluctuations in power demand from the fourth to ninth years for ease of explanation, but in reality, it goes without saying that this information is included in the power demand scenario information 504. Furthermore, the fluctuations in power demand from the tenth year onwards may be included in the power demand scenario information 504.

[0112] As an example, for a scenario with a scenario identifier "S2", the occurrence probability is 10%, the increase in electricity demand in the first year is 200MW, the increase in electricity demand in the second year is 185MW, the increase in electricity demand in the third year is 160MW, and the increase in electricity demand in the tenth year is 100MW.

[0113] Fig. 13 is a diagram illustrating an example of power supply scenario information 505 according to an embodiment of the present disclosure. The power supply scenario information 505 is information indicating predicted annual fluctuations in power supply and their occurrence probabilities as specific power supply scenarios, and may include a scenario identifier 505A1, a scenario occurrence probability 505A2, a first year power supply fluctuation 505A3, a second year power supply fluctuation 505A4, a third year power supply fluctuation 505A5, and a tenth year power supply fluctuation 505A6, as shown in Fig. 13. 13, for convenience of explanation, the power supply from the fourth year to the ninth year is omitted, but in reality, it goes without saying that this information is included in the power supply scenario information 505. Furthermore, the power supply from the tenth year onwards may be included in the power supply scenario information 505.

[0114] As an example, for a scenario with a scenario identifier of “S2”, the probability of occurrence is 10%, the increase in power supply in the first year is 120MW, the increase in power supply in the second year is 150MW, the increase in power supply in the third year is 200MW, and the increase in power supply in the tenth year is 300MW.

[0115] Next, with reference to FIG. 14, renewable energy connection request information according to an embodiment of the present disclosure will be described.

[0116] FIG. 14 is a diagram illustrating an example of the renewable energy connection request information 506 according to an embodiment of the present disclosure. The renewable energy connection request information 506 is information about a renewable energy power source to be installed in a power system, which is transmitted from a power company to a transmission system operator (TSO) that manages the power system, for example. According to the power system management means according to an embodiment of the present disclosure, the power transmission operator that receives the renewable energy connection request information 506 from the power company can generate a power system plan that ensures the stability of the power system and compliance with environmental standards while expanding the introduction of renewable energy power sources based on the renewable energy connection request information 506. As shown in FIG. 14, the renewable energy connection request information 506 may include an application ID 506A1, a connection start date 506A2, a connection voltage 506A3, a power type 506A4, an area 506A5, and a power generation capacity 506A6.

[0117] Application IDA1 is information that uniquely identifies an application from a power company for the connection of a new renewable energy power source. Connection start date 506A2 is information indicating the desired date for connecting the new renewable energy power source to the power grid. Connection voltage 506A3 is information indicating the voltage of the transmission line that connects the renewable energy power source to the power grid. Power type 506A4 is information indicating the type of electricity (solar, wind, hydroelectric, biomass, geothermal, etc.) generated by the new renewable energy power source. Area 506A5 is information indicating the desired installation area of ​​the new renewable energy power source. Power generation capacity 506A6 is information indicating the maximum expected power generation amount of the new renewable energy power source. As an example, a renewable energy connection request with application ID "A1" is requesting the connection of a new renewable energy source in the "Kansai A" region on "March 31, 2025," with a connection voltage of "230KV," power type of "solar," and generating capacity of "100MW."

[0118] Fig. 15 is a diagram showing an example of wind information 507 according to an embodiment of the disclosure. The wind information 507 is information related to local wind conditions and wind power generation, and may include a mesh ID 507A1, mesh coordinates 507A2, wind speed 507A3, wind direction 507A4, and wind turbine suitability 507A5, as shown in Fig. 15. Mesh ID 507A1 is information that uniquely identifies the mesh region (also called mesh area) of the target power grid. Mesh coordinates 507A2 is information that indicates the geographic coordinates of the mesh region. Wind speed 507A3 is the average wind speed measured at a specific altitude in the mesh region, with units such as m / s. Wind direction 507A4 is the main wind direction in the mesh region, with units such as clockwise degrees with north as the base. Wind turbine suitability 507A5 is an index that indicates the degree of suitability for installing wind turbines in the mesh region. As an example, for a mesh area with a mesh ID of "M1", the coordinates are "(40.7128, 74.0060)", the average wind speed is "7.5" m / s, the wind direction is "210" degrees, and the wind turbine suitability is "0.85".

[0119] Fig. 16 is a diagram illustrating an example of solar radiation information 508 according to an embodiment of the disclosure. The solar radiation information 508 is information related to solar radiation in a region, and may include a mesh ID 508A1, mesh coordinates 508A2, a panel area 508A3, a solar radiation amount 508A4, and a capacity index 508A5, as shown in Fig. 16.

[0120] The mesh ID 508A1 is information that uniquely identifies a mesh region (also called a mesh area) of the target power grid. The mesh coordinates 508A2 are information that indicate the geographic coordinates of the mesh region. The panel area 508A3 is the area of ​​the photovoltaic power generation panel in the mesh region, and is expressed in m 2 The unit of solar radiation 508A4 is the amount of radiant energy received from the sun per unit area in a mesh area in one year, expressed in kWh / m 2 The capacity index 508A5 is an index that indicates the efficiency and reliability of renewable energy power generation facilities in a mesh area, and is expressed as a percentage. As an example, for a mesh area with a mesh ID of "M1", the coordinates are "(40.7128, 74.0060)" and the panel area is "5000" m 2 , the annual solar radiation is 1600 kWh / m 2 -Year, the terrain has a capacity index of 18%.

[0121] Fig. 17 is a diagram illustrating an example of land information 509 according to an embodiment of the disclosure. The land information 509 is information related to the topography and usage status of land in a region, and may include a mesh ID 509A1, mesh coordinates 509A2, land usage status 509A3, land usage type 509A4, and a shade correction coefficient 509A5, as shown in Fig. 17.

[0122] Mesh ID 509A1 is information that uniquely identifies the mesh region (also called mesh area) of the target power grid. Mesh coordinates 509A2 is information that indicates the geographic coordinates of the mesh region. Land use status 509A3 is information that indicates the current status regarding the possibility of installing renewable energy power generation in the mesh region, and indicates the status such as possible, under negotiation, and reservation. Land use type 509A4 is information regarding the regulations and allocation of land use in the mesh region, and indicates classification such as factory area, farmland, residential area, and others. Shade correction coefficient 509A5 is information that indicates the degree of correction for reduction in solar radiation related to surrounding facilities and topography in the mesh region. As an example, for a mesh area with a mesh ID of "M1", the coordinates are "(40.7128, 74.0060)", the land use status is "possible", the land use type is "factory", and the shade correction coefficient is "0.52".

[0123] Next, with reference to FIG. 18, the system plan information according to the embodiment of the present disclosure will be described.

[0124] Fig. 18 is a diagram illustrating an example of system plan information 510 according to an embodiment of the present disclosure. As described above, the system plan information 510 is information indicating a power system plan that can support the determination of appropriate timing and locations for installing new equipment and removing existing equipment while suppressing various costs incurred in the operation of the power system, and is generated by the system plan generation process 1100 illustrated in Fig. 5. As illustrated in Fig. 18, the system plan information 510 may include a plan identifier 510A1, an equipment management operation 510A2, an operation time 510A3, and a plan cost 510A4.

[0125] The plan identifier 510A1 is information that uniquely identifies a specific power system plan. The equipment management action 510A2 is information that indicates the content of an action related to equipment (e.g., installation or removal of a specific power transmission line) in a specific power system plan. The operation time 510A3 is information that indicates the timing of the specific equipment management action 510A2 in the planned year. The planned cost 510A4 is information that indicates the cost required for the specific equipment management action 510A2 in a specified currency such as dollars or yen. As an example, for a particular power system plan with a plan identifier "P1", equipment "L45" will be installed in "Year 1" and its cost will be "$50,000".

[0126] Fig. 19 is a diagram showing an example of renewable energy power generation potential information 511 according to an embodiment of the disclosure. The renewable energy power generation potential information 511 is information related to the power generation potential of a renewable energy power source in a region, and may include a mesh ID 511A1, mesh coordinates 511A2, a possible amount of solar power generation 511A3, a possible amount of wind power generation 511A4, and a possible amount of renewable energy power generation 511A5, as shown in Fig. 19.

[0127] Mesh ID 509A1 is information that uniquely identifies a mesh region (also called a mesh area) of the target power grid. Mesh coordinates 509A2 is information that indicates the geographic coordinates of the mesh region. Potential solar power generation amount 511A3 is information on the potential amount of solar power generation possible in the mesh region. Potential wind power generation amount 511A4 is information on the potential amount of wind power generation possible in the mesh region. Potential renewable energy power generation amount 511A5 is the total amount of renewable energy power generation in the mesh region, and is information such as the sum of potential solar power generation amount 511A3 and potential wind power generation amount 511A4.

[0128] As an example, for a mesh area with a mesh ID of "M1", the coordinates are "(40.7128, 74.0060)", the potential amount of solar power generation is "1000", the potential amount of wind power generation is "1000", and the potential amount of renewable energy power generation is "2000".

[0129] Next, with reference to FIG. 20, the emission amount information according to the embodiment of the present disclosure will be described. 20 is information showing an example of emission amount information 512 according to an embodiment of the present disclosure. The emission amount information 512 is information showing the amount of carbon dioxide emitted by existing facilities such as power plants in a power system. As shown in FIG. 20, the emission amount information 512 may include a power plant identifier 512A1, a fuel 512A2, a carbon dioxide emission coefficient 512A3, a power generation capacity 512A4, and a carbon dioxide emission amount 512A5.

[0130] The power plant identifier 512A1 is information that uniquely identifies a specific power plant in the power system. The fuel 512A2 is information that indicates the type of fuel used by a specific power plant in the power system to generate power. The carbon dioxide emission coefficient 512A3 is information that indicates the amount of carbon dioxide emitted in metric tons per kWh (Kirowatt-hour) of energy generated by a specific power plant in the power system. The power generation capacity 512A4 is information that indicates the amount of power generated by a specific power plant in the power system. The carbon dioxide emission amount 512A5 is information that indicates the amount of carbon dioxide emitted by a specific power plant in the power system. As an example, for a power plant with the power plant identifier "PP1", the fuel is "natural gas", the carbon dioxide emission coefficient is "0.00045t-C02 / kWh", the power generation is "10,000MWh", and the carbon dioxide emissions are "4500t".

[0131] Next, with reference to FIG. 21, power system bus information according to an embodiment of the present disclosure will be described.

[0132] Fig. 21 is a diagram illustrating an example of bus information 513 of a power system according to an embodiment of the present disclosure. The bus information 513 is information about each bus in the power system, and may be acquired, for example, from the equipment specification management unit 3 illustrated in Fig. 2. As illustrated in Fig. 21, the bus information 513 may include a bus identifier 513A1, a voltage 513A2, a connected equipment 513A3, a position 513A4, a phase angle 513A5, a supply interference power 513A6, and a bus type 513A7.

[0133] The bus identifier 513A1 is information that uniquely identifies a specific bus in the power system. The voltage 513A2 is information that indicates the voltage at a specific bus in the power system. The connection equipment 513A3 is information that uniquely identifies equipment such as a transmission line connected to a specific bus in the power system. The position 513A4 is information that indicates coordinates that define the geographical position of a specific bus in the power system. The phase angle 513A5 is information that indicates the phase angle of a specific bus in the power system that is used to determine the direction of power flow and the limit of voltage stability. The supply interference power 513A6 is information that indicates the supply interference power at a specific bus in the power system in a specified equipment failure state. The bus type 513A7 is information that indicates whether a specific bus in the power system is a generation bus, a load bus, or a slack bus.

[0134] As an example, a bus with a bus identifier "B5" has a voltage of "230KV", is connected to equipment "L45" and "L56", is located at the coordinates of "(500, 1000)", has a phase angle of "235 degrees", has a supply interference power of "0.01MW", ​​and is a bus type that is a "load bus".

[0135] Fig. 22 is a diagram illustrating an example of grid renewable energy power generation potential information 514 according to an embodiment of the present disclosure. The grid renewable energy power generation potential information 514 is information indicating the maximum renewable energy power generation amount that can be accepted by each system plan of the power system, and is generated by the above-mentioned grid renewable energy power generation potential evaluation process 1400. As shown in Fig. 22, the information may include a plan identifier 514A1, a renewable energy power generation amount 514A2, and an emission amount 514A3.

[0136] The plan identifier 514A1 is information that uniquely identifies a specific grid plan. The renewable energy power generation amount 514A2 is information that indicates the maximum power generation amount that can be generated by a new renewable energy power source while satisfying a predetermined power grid reliability standard. The emission amount 514A3 is information that indicates the amount of greenhouse gases that will be emitted by the end of a specific grid plan if the specific grid plan is implemented. As an example, for a specific grid plan with a plan identifier "P1", the renewable energy power generation amount is "5000" MW and the emissions amount is "1026" t.

[0137] Next, with reference to FIG. 23, the planned economic evaluation information according to the embodiment of the present disclosure will be described.

[0138] 23 is a diagram illustrating an example of the planned economic evaluation information 515 according to the embodiment of the present disclosure. The planned economic evaluation information 515 is information indicating various costs for implementing a power system plan generated by the power system management means according to the embodiment of the present disclosure. As shown in FIG. 23, the planned economic evaluation information 515 may include a plan identifier 515A1, a capital investment cost 515A2, a power plant operation cost 515A3, a transmission loss cost 515A4, a renewable energy suppression cost 515A5, a renewable energy connection line installation cost 515A6, and a total cost 515A7.

[0139] The plan identifier 515A1 is information for identifying a specific power system plan. The equipment investment cost 515A2 is information indicating the cost for installing new equipment. The power plant operation cost 515A3 is information indicating the cost for generating and supplying power when a specific power system plan is implemented. The transmission loss cost 515A4 is information indicating the cost due to the transmission loss that occurs when transmitting power. The renewable energy suppression cost 515A5 is information indicating the cost due to suppression of renewable energy power generation. The renewable energy connection line installation cost 515A6 is information indicating the cost for installing equipment for connecting a renewable energy power source to the power system. The total cost 515A7 is information indicating the sum of the individual costs. As an example, for a power system plan with a plan identifier "P1", the capital investment cost is "$200k", the power plant operating cost is "$300k", the power generation loss cost is "$100k", the renewable energy suppression cost is "$200k", the renewable energy connection line equipment installation cost is "$100k", and the total cost is "$900k".

[0140] The power system management means according to the embodiment of the present disclosure described above generates a power system plan that is future-proof and adheres to reliability. Then, the planning area is divided into mesh areas, and the potential power generation from renewable energy sources is calculated using information on solar radiation and wind power in each area. Then, assuming that each mesh is connected to the nearest bus, the potential power generation of the mesh is integrated to calculate the potential power generation of each bus. Finally, for each system plan, an economic evaluation of the system renewable energy power generation potential and emissions, etc. of the system can be calculated by an optimization calculation aimed at maximizing the renewable energy power generation amount (i.e., minimizing emissions) using the variable that maximizes the renewable energy power generation potential. In this way, according to the system renewable energy generation potential and emission amount information for the generated system plans, the maximum possible amount of renewable energy sources in each possible system plan of the power system can be calculated. Furthermore, it is easy to determine which of these system plans has the maximum possible amount of renewable energy sources in the future and can accept the maximum number of renewable energy source connection requests from power generation companies. It is also easy to determine which of the system plans can comply with environmental standards. This will also reduce the economic burden on businesses providing services to the power system, such as power generation businesses and power transmission and distribution businesses.

[0141] As described above, the power system management means according to the embodiment of the present disclosure includes the following aspects.

[0142] (Aspect 1) a power system management device that generates a power system plan for the power system; A power system management system connected to a user terminal via a communication network, The power system management device includes: A processor, a memory, and a storage unit are provided, The storage unit is Existing facility information indicating existing facilities in a planning target area of ​​the power system; New facility information indicating candidates for new facilities in the target area for planning the power system; Equipment failure information indicating a situation of an equipment failure that may occur in the power system; Power supply scenario information indicating a forecast of power supply in the power system; Power demand scenario information indicating a forecast of power demand in the power system; Renewable energy connection request information indicating a renewable energy power source that is requested to be connected to the power grid; emission information indicating greenhouse gas emissions from the power grid; power system bus information indicating existing buses in the power system; Regional characteristic information indicating characteristics of the planning target region; Including, The memory includes: a power system plan generating unit that generates power system plan information indicating a power system facility plan that satisfies a predetermined power supply constraint and a predetermined feasibility constraint in a target period based on the existing facility information, the new facility information, the facility failure information, the power supply scenario information, the power demand scenario information, and the renewable energy connection request information; A renewable energy power generation potential calculation unit that divides the planning target area into a plurality of mesh areas and analyzes the regional characteristic information for each mesh area to generate renewable energy power generation potential information indicating the amount of power that can be generated by a renewable energy power source in each mesh area; a renewable energy power generation potential bus integrating unit that integrates a power generation potential when a renewable energy power source is connected to a bus that satisfies a predetermined distance standard for each mesh area based on the system plan information, the power system bus information, and the renewable energy power generation potential information, and calculates a power generation potential of the bus; a grid renewable energy power generation potential evaluation unit that generates grid renewable energy power generation potential information indicating a grid renewable energy power generation potential of the grid plan and emissions according to the grid plan by performing an optimization calculation to maximize a renewable energy power generation amount for the grid plan in the grid plan information based on the emission amount information and the power generation potential amount of the bus, and outputs the information to the user terminal; The power system management system further comprises a processing instruction for causing the processor to function as a power system control system.

[0143] (Aspect 2) The system plan generation unit includes: determining an accident level indicating an equipment failure status to be considered in a system plan based on the equipment failure information; Generate renewal equipment candidates indicating possible combinations of removal of existing equipment and installation of new equipment corresponding to the renewable energy connection request indicated in the renewable energy connection request information based on the existing equipment information, the new equipment information, and the renewable energy connection request information; Calculating a transmission capacity of the replacement equipment candidate by performing a predetermined power flow calculation for the replacement equipment candidate based on the fault level; If the calculated transmission capacity of the replacement facility candidate satisfies the predetermined power supply constraint and the replacement facility candidate satisfies the predetermined feasibility constraint, generate the system plan information indicating a system plan that supports the determination of an appropriate timing and location for installing the replacement facility candidate and removing existing facilities, while suppressing various costs incurred in the operation of the power system, based on the replacement facility candidate. 2. The power system management system according to claim 1.

[0144] (Aspect 3) The regional characteristic information meteorological information indicating solar radiation, wind volume, and wind direction in a planned target area of ​​the power system; and land information indicating soil quality, topography, land use, and infrastructure in the area where the power system is planned. 3. The power system management system according to aspect 1 or 2.

[0145] (Aspect 4) The renewable energy power generation potential calculation unit is Dividing the planning area into a plurality of mesh areas; Calculating a total potential power generation amount for each mesh area based on the meteorological information included in the regional characteristic information; Calculating a suitability ratio for each mesh area, which is a ratio of the area suitable for renewable energy power generation, based on the land information included in the regional characteristic information; For each mesh area, calculate the mesh equipment introduction possibility ratio by multiplying the compatibility ratio by the equipment introduction density predicted from the system plan information; By multiplying the equipment introduction possibility ratio of the mesh by the total potential power generation amount of the mesh, renewable energy power generation potential information indicating the renewable energy power generation potential amount of each mesh area is generated. 4. The power system management system according to aspect 3.

[0146] (Aspect 5) The renewable energy power generation potential bus integration unit includes: Calculate the center coordinates of each mesh area, Identifying a target mesh area and a target bus that satisfy the predetermined distance criterion based on the power system bus information, the system plan information, and the calculated center coordinates of each mesh area; integrating the renewable energy power generation potential of the identified target mesh area based on the renewable energy power generation potential information, and setting the integrated value as the power generation potential of the target bus, thereby calculating the power generation potential of the bus. 5. The power system management system according to claim 4.

[0147] (Aspect 6) The grid renewable energy power generation potential evaluation section correcting the system plan information based on a power generation potential of the bus to generate corrected system plan information indicating a case in which a renewable energy simulation generator equivalent to the power generation potential of the bus is connected to the bus; Based on the modified system plan information, an objective function is defined that maximizes the amount of power generation of renewable energy while satisfying a predetermined transmission capacity constraint and a predetermined power generation capacity constraint; By solving the objective function, a maximum value of the amount of power generation of renewable energy is calculated while satisfying the predetermined transmission capacity constraint and the predetermined power generation capacity constraint; Calculate the emission amount based on the corrected grid plan information based on the emission information and the amount of power generation of the renewable energy; Generate grid renewable energy power generation potential information indicating a maximum value of the renewable energy power generation amount and the emission amount, and output the information to the user terminal together with the corrected grid plan information. 6. The power system management system according to any one of the first to fifth aspects.

[0148] (Aspect 7) The grid renewable energy power generation potential evaluation section generating planned economic evaluation information indicating various costs for implementing each system plan in the corrected system plan information, and outputting the plan to the user terminal; 7. The power system management system according to claim 6. [Explanation of symbols]

[0149] 1 Power system management device 2. Client terminal 3. Equipment Specifications Management Department 4 Geographic Information Management Department 5. Renewable Energy Introduction Management Department 6. Communication Network 10 Processors 20 Memory 30 Storage section 40 Internal Bus 50 Input section 60 Output section 150 Power System Management Applications 200 Power System Management System 201 System planning generation unit 202 Renewable Energy Power Generation Potential Calculation Unit 203 Renewable Energy Power Generation Potential Bus Estimation Unit 204 System Renewable Energy Power Generation Potential Assessment Department 501 Existing Facility Information 502 New equipment information 503 Equipment failure information 504 Electricity Demand Scenario Information 505 Power Supply Scenario Information 506 Renewable Energy Connection Requirement Information 507 Wind information 508 Solar radiation information 509 Land Information 510 System Planning Information 511 Renewable energy power generation potential information 512 Emission information 513 Bus Information 514 Information on grid renewable energy generation potential 515 Planning and Economic Evaluation Information

Claims

1. a power system management device that generates a power system plan for the power system; A power system management system connected to a user terminal via a communication network, The power system management device includes: A processor, a memory, and a storage unit are provided, The storage unit is Existing facility information indicating existing facilities in a planning target area of ​​the power system; New facility information indicating candidates for new facilities in the target area for planning the power system; Equipment failure information indicating a situation of an equipment failure that may occur in the power system; Power supply scenario information indicating a forecast of power supply in the power system; Power demand scenario information indicating a forecast of power demand in the power system; Renewable energy connection request information indicating a renewable energy power source that is requested to be connected to the power grid; emission information indicating greenhouse gas emissions from the power grid; power system bus information indicating existing buses in the power system; Regional characteristic information indicating characteristics of the planning target region; Including, The memory includes: a power system plan generating unit that generates power system plan information indicating a power system facility plan that satisfies a predetermined power supply constraint and a predetermined feasibility constraint in a target period based on the existing facility information, the new facility information, the facility failure information, the power supply scenario information, the power demand scenario information, and the renewable energy connection request information; A renewable energy power generation potential calculation unit that divides the planning target area into a plurality of mesh areas and analyzes the regional characteristic information for each mesh area to generate renewable energy power generation potential information indicating the amount of power that can be generated by a renewable energy power source in each mesh area; a renewable energy power generation potential bus integrating unit that integrates a power generation potential when a renewable energy power source is connected to a bus that satisfies a predetermined distance standard for each mesh area based on the system plan information, the power system bus information, and the renewable energy power generation potential information, and calculates a power generation potential of the bus; a grid renewable energy power generation potential evaluation unit that generates grid renewable energy power generation potential information indicating a grid renewable energy power generation potential of the grid plan and emissions according to the grid plan by performing an optimization calculation to maximize a renewable energy power generation amount for the grid plan in the grid plan information based on the emission amount information and the power generation potential amount of the bus, and outputs the information to the user terminal; The power system management system further comprises a processing instruction for causing the processor to function as a power system control system.

2. The system plan generation unit includes: determining an accident level indicating an equipment failure status to be considered in a system plan based on the equipment failure information; Generate renewal equipment candidates indicating possible combinations of removal of existing equipment and installation of new equipment corresponding to the renewable energy connection request indicated in the renewable energy connection request information based on the existing equipment information, the new equipment information, and the renewable energy connection request information; Calculating a transmission capacity of the replacement equipment candidate by performing a predetermined power flow calculation for the replacement equipment candidate based on the fault level; If the calculated transmission capacity of the replacement facility candidate satisfies the predetermined power supply constraint and the replacement facility candidate satisfies the predetermined feasibility constraint, generate the system plan information indicating a system plan that supports the determination of an appropriate timing and location for installing the replacement facility candidate and removing existing facilities, while suppressing various costs incurred in the operation of the power system, based on the replacement facility candidate. The power system management system according to claim 1 .

3. The regional characteristic information meteorological information indicating solar radiation, wind volume, and wind direction in a planned target area of ​​the power system; and land information indicating soil quality, topography, land use, and infrastructure in the area where the power system is planned. The power system management system according to claim 1 .

4. The renewable energy power generation potential calculation unit is Dividing the planning area into a plurality of mesh areas; Calculating a total potential power generation amount for each mesh area based on the meteorological information included in the regional characteristic information; Calculating a suitability ratio for each mesh area, which is a ratio of the area suitable for renewable energy power generation, based on the land information included in the regional characteristic information; For each mesh area, the compatibility ratio is multiplied by the equipment introduction density predicted from the system plan information to calculate the equipment introduction possibility ratio of the mesh; Multiplying the facility introduction rate of the mesh by the total potential power generation amount of the mesh to generate renewable energy power generation potential information indicating the renewable energy power generation potential of each mesh area. The power system management system according to claim 3 .

5. The renewable energy power generation potential bus integration unit includes: Calculate the center coordinates of each mesh area, Identifying a target mesh area and a target bus that satisfy the predetermined distance criterion based on the power system bus information, the system plan information, and the calculated center coordinates of each mesh area; integrating the renewable energy power generation potential of the identified target mesh area based on the renewable energy power generation potential information, and setting the integrated value as the power generation potential of the target bus, thereby calculating the power generation potential of the bus. The power system management system according to claim 4 .

6. The grid renewable energy generation potential evaluation section correcting the system plan information based on a power generation potential of the bus to generate corrected system plan information indicating a case in which a renewable energy simulation generator equivalent to the power generation potential of the bus is connected to the bus; Based on the modified grid plan information, define an objective function that maximizes the amount of renewable energy power generation while satisfying a predetermined transmission capacity constraint and a predetermined power generation capacity constraint; By solving the objective function, a maximum value of the amount of power generation of renewable energy is calculated while satisfying the predetermined transmission capacity constraint and the predetermined power generation capacity constraint; Calculate the emission amount based on the corrected grid plan information based on the emission information and the amount of power generation of the renewable energy; Generate grid renewable energy power generation potential information indicating a maximum value of the renewable energy power generation amount and the emission amount, and output the information to the user terminal together with the corrected grid plan information. The power system management system according to claim 1 .

7. The grid renewable energy generation potential evaluation section generating planned economic evaluation information indicating various costs for implementing each system plan in the corrected system plan information, and outputting the planned economic evaluation information to the user terminal; The power system management system according to claim 6 .

8. A power system management program executed in a power system management device that generates a power system plan for a power system, comprising: The power system management device includes: Processor and a memory for storing processing instructions; A storage unit, The storage unit is Existing facility information indicating existing facilities in a planning target area of ​​the power system; New facility information indicating candidates for new facilities in the target area for planning the power system; Equipment failure information indicating a situation of an equipment failure that may occur in the power system; Power supply scenario information indicating a forecast of power supply in the power system; Power demand scenario information indicating a forecast of power demand in the power system; Renewable energy connection request information indicating a renewable energy power source that is requested to be connected to the power grid; emission information indicating greenhouse gas emissions from the power grid; power system bus information indicating existing buses in the power system; Regional characteristic information indicating characteristics of the planning target region; Including, The processing instructions stored in the memory include: generating system plan information indicating a power system facility plan that satisfies a predetermined power supply constraint and a predetermined feasibility constraint in a target period based on the existing facility information, the new facility information, the facility failure information, the power supply scenario information, the power demand scenario information, and the renewable energy connection request information; A step of dividing the planning area into a plurality of mesh areas and analyzing the regional characteristic information for each mesh area to generate renewable energy power generation potential information indicating the amount of power that can be generated by renewable energy power sources in each mesh area; integrating a power generation potential when a renewable energy power source is connected to a bus that satisfies a predetermined distance standard for each mesh area based on the system plan information, the power system bus information, and the renewable energy power generation potential information, and calculating a power generation potential of the bus; generating and outputting information on a system renewable energy power generation potential indicating a system renewable energy power generation potential of the system plan and an emission amount according to the system plan by performing an optimization calculation for maximizing a renewable energy power generation amount for the system plan in the system plan information based on the emission amount information and the power generation potential of the bus; A power system management program that causes the processor to execute the above steps.

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