Renewable energy generator candidate site evaluation device, on-shore wind turbine candidate site evaluation device, and renewable energy generator candidate site evaluation method

Abstract

To search for a construction candidate site of an onshore windmill in consideration of an output suppression amount.SOLUTION: The land-based windmill candidate site evaluation device 3 includes a calculation condition input unit 20 for determining a calculation condition for evaluating an output suppression amount, a power system data storage unit 21 for storing a power generation output and a demand of a generator constituting a power system and a power system model based on the calculation condition, an output suppression amount calculation unit 22 for calculating an output suppression amount based on the data stored in the power system data storage unit 21, an output suppression amount display unit 23 for displaying the output suppression amount, and a system congestion layer conversion unit 24 for visualizing a system congestion degree of the power system from a utilization rate of a power transmission line in the power system.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a renewable energy generator candidate site evaluation device, an onshore wind turbine candidate site evaluation device, and a renewable energy generator candidate site evaluation method that evaluate candidate sites for renewable energy generators while taking into consideration output suppression and the like. [Background technology]

[0002] With the aim of preventing global warming and improving energy self-sufficiency, the use of renewable energy sources (RES), such as wind and solar power generation, is being promoted worldwide. In recent years, with the large-scale introduction of renewable energy sources, when the amount of electricity generated by renewable energy sources increases, grid congestion occurs, where the amount of electricity passing through transmission lines and substation equipment, such as the power grid's transmission lines and substation equipment, exceeds the operating capacity of the transmission lines and substation equipment. As a means of promoting the introduction of renewable energy sources while avoiding grid congestion, a method of connecting generators to the grid, known as non-farm type connection, has been introduced, and this is expanding business opportunities for renewable energy power source operators.

[0003] On the other hand, areas with an average annual wind speed of 6 m / s or more, which are generally considered suitable locations for introducing onshore wind turbines, are on a declining trend due to the introduction of onshore wind turbines up to now. In particular, the areas with good wind conditions in Japan are concentrated in mountainous regions, and due to complex wind conditions and environmental considerations, it is difficult to determine the business viability, making it even more difficult to find candidate sites.

[0004] When grid congestion occurs at transmission and transformation facilities, power system operators instruct non-farm-connected generators to curtail their power generation, and the generator operators avoid grid congestion by curtailing their power generation (hereafter referred to as output curtailment). The timing and extent of output curtailment is difficult for power generation companies to predict, as it is determined by the power generated by all generators connected to the power system, the power consumption at each location, and the amount of power flowing through the transmission and transformation facilities. Note that while system operators disclose their forecasts for output curtailment for the entire system, they do not publicly disclose their forecasts for output curtailment for each generator, due to market neutrality. As a result, power generation companies are unable to forecast output curtailment, and are unable to predict how much of the power generated by their generators they can sell, making it difficult to determine business viability.

[0005] Patent Document 1 is known as a solution to the above-mentioned problem. This system includes a simulation unit that simulates wind conditions, a prediction model construction unit that uses the simulation results to create a prediction model of power generation amount and extreme wind speed due to wind conditions related to wind turbine placement, a wind turbine placement determination unit that determines at least one or more candidate locations for wind turbine placement based on the wind conditions, land conditions, and social conditions, and a determination unit that determines whether the candidate locations are appropriate based on the power generation amount and extreme wind speed. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Publication No. 2023-69910 Summary of the Invention [Problem to be solved by the invention]

[0007] The method in Patent Document 1 predicts the power output of wind turbines based on wind conditions, and determines business viability based on the power output. As grid congestion increases in the future, it may become difficult to sell all of the power generated by wind turbines. Therefore, when evaluating potential sites for wind turbines, it is necessary to consider not only wind conditions, the surrounding environment, and topography, but also the amount of output suppression, which is the amount by which the power output of wind turbines is suppressed due to grid congestion.

[0008] Therefore, an object of the present invention is to search for a candidate site for constructing a renewable energy power generator while taking into consideration the amount of output suppression. [Means for solving the problem]

[0009] In order to solve the above-mentioned problems, the renewable energy generator candidate site evaluation device of the present invention is characterized by comprising: a calculation condition input unit that determines calculation conditions for evaluating an output suppression amount; a power system data storage unit that stores the power generation output and demand of generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit that calculates an output suppression amount based on the data stored in the power system data storage unit; an output suppression amount display unit that displays the output suppression amount; and a system congestion layer conversion unit that visualizes the system congestion level of the power system from the utilization rate of transmission lines in the power system.

[0010] an extraction condition input unit that sets conditions for extracting candidate construction sites for onshore wind turbines; a surrounding environment input unit that selects surrounding environments to display in order to evaluate the candidate construction sites; a candidate site condition data storage unit that stores the surrounding environments; a candidate site extraction unit that extracts candidate construction sites that satisfy the extraction conditions set in the extraction condition input unit from a search range; and a layer display unit that displays the candidate construction sites extracted by the candidate site extraction unit and the surrounding environment selected in the surrounding environment input unit.

[0011] The method for evaluating a candidate site for a renewable energy generator of the present invention is characterized by executing the following steps: a calculation condition input unit determines calculation conditions for evaluating an output suppression amount; a power system data storage unit stores the power generation output and demand of generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit calculates an output suppression amount based on data stored in the power system data storage unit; an output suppression amount display unit displays the output suppression amount; and a system congestion layer conversion unit visualizes the system congestion level of the power system from the utilization rate of transmission lines in the power system. Other means will be described in the detailed description of the invention. [Effects of the Invention]

[0012] According to the present invention, it is possible to search for candidate sites for onshore wind turbine construction while taking into account the amount of output curtailment. This reduces the risk of business interruption due to doubts about profitability caused by the amount of output curtailment exceeding a predetermined percentage. In addition, by evaluating the amount of output curtailment of generators other than onshore wind turbines and the utilization rate relative to the operating capacity of transmission lines, it is possible to evaluate the business viability of generators for which new interconnection is being considered. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a block diagram showing an onshore wind turbine candidate site evaluation device according to a first embodiment of the present invention. FIG. [Figure 2A] FIG. 2 is an overall configuration diagram of a display range input unit. [Figure 2B] 10A and 10B are diagrams illustrating the operation process of the display range input unit. [Figure 2C] 10A and 10B are diagrams illustrating the operation process of the display range input unit. [Figure 3A] FIG. 2 is a diagram showing the overall configuration of a map input unit. [Figure 3B] FIG. 4 is a diagram illustrating a user interface of a map input unit. [Figure 4A] FIG. 2 is a diagram showing the overall configuration of a surrounding environment input unit. [Figure 4B] FIG. 10 is a diagram illustrating a user interface of a surrounding environment input unit. [Figure 5A] FIG. 2 is a diagram illustrating the overall configuration of an extraction condition input unit. [Figure 5B] FIG. 10 is a diagram illustrating a user interface of an extraction condition input unit. [Figure 6] FIG. 2 is a diagram illustrating the overall configuration of a map storage unit. [Figure 7] FIG. 2 is a diagram showing the overall configuration of a candidate site condition data storage unit. [Figure 8A] 10 is a flowchart of a construction feasibility determination unit. [Figure 8B] FIG. 2 is a diagram illustrating the overall configuration of a construction feasibility determination unit. [Figure 8C] FIG. 10 is a diagram illustrating a learning phase of the construction feasibility determination unit. [Figure 8D]10 is a flowchart of a construction feasibility determination unit in a learning phase. [Figure 8E] 10 is a flowchart of an inference phase of a construction feasibility determination unit. [Figure 9A] FIG. 10 is a diagram illustrating data stored in a candidate site extraction unit. [Figure 9B] FIG. 10 is a diagram showing the structure of mesh candidate site data in the candidate site extraction unit. [Figure 9C] FIG. 2 is a diagram showing the overall configuration of a candidate site extraction unit. [Figure 10A] FIG. 2 is a diagram illustrating the overall configuration of a surrounding environment layer creating unit. [Figure 10B] 10 is a diagram illustrating a surrounding environment layer and a legend created by a surrounding environment layer creating unit. FIG. [Figure 11A] FIG. 2 is a diagram showing the overall configuration of a candidate site layer creation unit. [Figure 11B] FIG. 10 is a diagram showing a display of a candidate site layer. [Figure 11C] FIG. 10 is a diagram showing a pop-up display of candidate site information. [Figure 11D] FIG. 10 is a diagram showing a pop-up display of candidate site information. [Figure 12A] FIG. 2 is a diagram showing the overall configuration of a layer display section. [Figure 12B] FIG. 10 is a diagram showing a display in a layer display section. [Figure 12C] FIG. 10 is a diagram showing a display in a layer display section. [Figure 13] FIG. 10 illustrates a calculation condition input unit. [Figure 14] FIG. 2 is a diagram illustrating a power system data storage unit. [Figure 15] FIG. 4 is a diagram illustrating an output suppression amount calculation unit. [Figure 16A] 10 is a flowchart of a power generation output control unit. [Figure 16B] 10 is another flowchart of the power generation output control unit. [Figure 16C] 10 is a flowchart of step S43. [Figure 16D] 10 is a flowchart of step S43. [Figure 16E] 10 is a flowchart of step S44. [Figure 16F] 10 is a flowchart of step S44. [Figure 17A] FIG. 2 is a diagram showing the overall configuration of an output suppression amount display unit. [Figure 17B] FIG. 10 is a diagram showing the display of an output suppression amount display unit. [Figure 18A] FIG. 2 is a diagram illustrating the overall configuration of a system congestion layer conversion unit. [Figure 18B] FIG. 10 is a diagram showing the display of a system congestion layer conversion unit. [Figure 19] FIG. 10 is a block diagram showing an onshore wind turbine candidate site evaluation device according to a second embodiment of the present invention. [Figure 20A] 10 is a flowchart of a grid-connection point shifting unit. [Figure 20B] FIG. 2 is a diagram illustrating an overview of a grid-connection point shifting unit. [Figure 21] FIG. 10 is a block diagram showing an onshore wind turbine candidate site evaluation device according to a third embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0015] In the following description, when an operation is described as "unit A does unit B," it means that the processor reads a program stored in this device and loads it into DRAM (Dynamic Random Access Memory), thereby realizing the function of unit A. The processor reads a program required for the processing of the calculation unit from the various programs that make up the program database and executes the calculation. It also performs processes such as searching for data in the various stored databases and issuing instructions to display the processing results. The processor may be a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). It may also be a single-core processor or a multi-core processor. It may also be configured as one or more semiconductor chips, or as a computer device such as a calculation server.

[0016] First Embodiment An example of the functional configuration of an onshore wind turbine candidate site evaluation device 3 according to a first embodiment of the present invention will be described with reference to FIG. The onshore wind turbine candidate site evaluation device 3 comprises a candidate site search unit 1 and an output curtailment amount evaluation unit 2. The candidate site search unit 1 searches for candidate sites for onshore wind turbines within the area where the construction of onshore wind turbines is being considered. The output curtailment amount evaluation unit 2 evaluates the output curtailment amount of the generator at the candidate site based on set calculation conditions. The output curtailment amount evaluation unit 2 evaluates the output curtailment amount of any type of renewable energy generator, not just wind power generators. In other words, this onshore wind turbine candidate site evaluation device 3 also functions as a renewable energy generator candidate site evaluation device.

[0017] The onshore wind turbine candidate site evaluation device 3 may further include a display device that displays a map layer, a surrounding environment layer showing the surrounding environment, a candidate site layer showing the construction candidate site, and the results of the output suppression amount.

[0018] The candidate site search unit 1 is composed of a display range input unit 10, a map input unit 11, an extraction condition input unit 13, a map memory unit 14, a candidate site condition data memory unit 15, a candidate site extraction unit 16, a surrounding environment layer creation unit 17, a candidate site layer creation unit 18, and a layer display unit 19.

[0019] The display range input unit 10 selects the location information of the range for which candidate sites for onshore wind turbines are to be evaluated. The map input unit 11 selects the map to be displayed. The surrounding environment input unit 12 selects the surrounding environment information to be displayed in layers in order to evaluate regulatory information for onshore wind turbines. In other words, the surrounding environment input unit 12 selects the surrounding environment to be displayed in order to evaluate candidate sites for onshore wind turbine construction. The extraction condition input unit 13 selects the extraction conditions for the candidate sites.

[0020] The map storage unit 14 stores the map selected and input by the map input unit 11. The candidate site condition data storage unit 15 stores the surrounding environment information displayed in the layer selected by the surrounding environment input unit 12 and the extraction conditions of the candidate site selected by the extraction condition input unit 13.

[0021] The candidate location extraction unit 16 extracts candidate location position information based on the candidate location extraction conditions. The surrounding environment layer creation unit 17 creates a layer based on the surrounding environment information selected by the surrounding environment input unit 12. The candidate location layer creation unit 18 creates a candidate location layer extracted by the candidate location extraction unit 16. The layer display unit 19 overlays and displays the surrounding environment layer and candidate location layer on the map stored in the map storage unit 14.

[0022] In the following, generators refer to power plants and power generation systems including thermal power generators, nuclear power generators, biomass power generation, geothermal power generators, hydroelectric power generators, pumped storage power generators, wind power generation systems, solar power generation systems, and battery storage systems.

[0023] The output suppression amount evaluation unit 2 includes a calculation condition input unit 20, a power system data storage unit 21, an output suppression amount calculation unit 22, an output suppression amount display unit 23, and a system congestion layer conversion unit 24.

[0024] The overall configuration of the display range input unit 10 will be described with reference to FIG. 2A. The display range input unit 10 includes a map range selection unit 100, a location information conversion unit 101, and a location information output unit 102. The map range selection unit 100 selects the map area to be displayed by zooming in and out and moving the map displayed on the screen of the Web application. The location information conversion unit 101 converts the map area to be displayed into location information such as the latitude and longitude of the four corners. The location information output unit 102 outputs this location information.

[0025] The display range input unit 10 will be outlined with reference to FIGS. 2B and 2C. 2B is a reduced-scale map of the Tohoku area. For example, when map 5100 is displayed in map range selection unit 100, location information conversion unit 101 converts the map 5100 into location information 5101A, 5101B, 5101C, and 5101D of the four corners. Location information output unit 102 outputs location information 5101A, 5101B, 5101C, and 5101D.

[0026] Figure 2C, map 5102, is an enlarged view of the area around Akita Prefecture in the Tohoku region. In the map range selection unit 100, when the display range is enlarged as in map 5102, it is similarly converted into position information 5103A, 5103B, 5103C, and 5103D of the four corners of map 5102. The position information output unit 102 outputs position information 5103A, 5103B, 5103C, and 5103D. When the display range is moved, enlarged, or reduced, the position information of the four corners of the display range is similarly output.

[0027] The overall configuration of the map input unit 11 will be described with reference to FIG. 3A. The map input unit 11 includes a map selection unit 110 and a map output unit 111. The map selection unit 110 displays a map that the user wants to refer to so that the user can select the map using radio buttons or the like. The map output unit 111 outputs the map layer selected by the user.

[0028] The user interface of the map input unit 11 will be described using Figure 3B. Radio buttons 5110, 5111, and 5112 are radio buttons for displaying the Geospatial Information Authority of Japan map layer, the aerial photograph map layer, and various map layers, respectively. By default, one of the map layers is selected, and in Figure 3B, radio button 5110, which indicates the display of the Geospatial Information Authority of Japan map layer, is selected.

[0029] The overall configuration of the surrounding environment input unit 12 will be explained using Figure 4A. It is mainly composed of a surrounding environment selection unit 120 and a surrounding environment output unit 121. In the surrounding environment selection unit 120, the surrounding environment that is to be displayed as a layer on the map is selected using a check box or the like, and the surrounding environment output unit 121 outputs the selected surrounding environment.

[0030] The user interface of the surrounding environment input unit 12 will be described using FIG. 4B. Check box 5120 is a button for displaying forest areas in a layered view. Check box 5121 is a button for displaying protected areas in a layered view. Check box 5122 is a button for displaying radar irradiation ranges in a layered view. Check box 5123 is a button for displaying power grids in a layered view. Check box 5124 is a button for displaying wind conditions in a layered view. Check box 5125 is a button for displaying buildings in a layered view. Check box 5126 is a button for displaying existing wind turbines in a layered view. Check box 5127 is a button for displaying terrain in a layered view. Check box 5128 is a button for displaying grid congestion status in a layered view. Only items with selected check boxes are displayed in a layered view, so the selected layers are overlaid.

[0031] The extraction condition input unit 13 will be described with reference to FIG. 5A. The extraction condition input unit 13 includes an extraction condition selection unit 130, an extraction threshold setting unit 131, and an extraction condition output unit 132. In the extraction condition selection unit 130, conditions to be selected as extraction conditions are selected using check boxes or the like. The extraction condition input unit 13 sets the conditions for extracting candidate construction sites for onshore wind turbines.

[0032] In the extraction threshold setting unit 131, the desired threshold is set numerically using a spin button or the like for the extraction condition selected in the extraction condition selection unit 130. The extraction condition output unit 132 outputs the extraction condition selected in the extraction condition selection unit 130 and the threshold set in the extraction threshold setting unit 131. Note that among the extraction conditions selected in the extraction condition selection unit 130, there may be extraction conditions for which a threshold cannot be set in the extraction threshold setting unit 131.

[0033] The user interface of the extraction condition input unit 13 will be described with reference to FIG. 5B. Check box 5130 is a button for selecting whether to consider the annual average wind speed as an extraction condition. Spin button 5134 is a button for setting the threshold value of the annual average wind speed. Checkbox 5131 is a button for selecting whether to consider the distance from the wind turbine construction site to the power transmission line as an extraction condition. Spin button 5135 is a button for setting the threshold value for the distance from the wind turbine construction site to the power transmission line.

[0034] Checkbox 5132 is a button for selecting whether to consider the distance from the candidate site for wind turbine construction to the building as an extraction condition. Spin button 5135 is a button for setting the threshold value for the distance from the candidate site for wind turbine construction to the building. Checkbox 5132 is a button for selecting whether or not to consider the distance from the candidate site for wind turbine construction to the existing wind turbine as an extraction condition. Spin button 5135 is a button for setting a threshold value for the distance from the candidate site for wind turbine construction to the existing wind turbine. By selecting these checkboxes and entering a value in the spin button, the result is output as an extraction condition.

[0035] When setting as a spin button, the minimum value, maximum value, and number of steps for each threshold should be set appropriately. For example, if the setting values ​​of the annual average wind speed spin button 5134 are set to a minimum of 4.0 m / s and a maximum of 8.0 m / s with a step value of 0.1 m / s, it is possible to set values ​​between 4.0 m / s and 8.0 m / s in increments of 0.1 m / s.

[0036] The overall configuration of the map storage unit 14 will be described with reference to FIG. The map storage unit 14 includes a map layer management unit 140 and a map layer acquisition unit 141. The map layer management unit 140 includes a Geospatial Information Authority of Japan map layer database 4140, an aerial photograph map layer database 4141, and various map layer databases 4142. Note that map layer data is composed of location information in a format such as GeoJSON and polygon data of terrain, and may be stored in any format such as a raster format or a vector format. The map layer management unit 140 acquires the map layer selected by the map input unit 11. The map layer stored in the Geospatial Information Authority of Japan map layer database 4140 is based on a blank map and includes contour lines, forest roads, and the like. The map layer stored in the aerial photograph map layer database 4141 displays photographs taken by satellites on a map. The map layers stored in the various map layer databases 4142 are map layers such as Open Street Map, and are map layers according to the intended use. The map layer acquisition unit 141 acquires a map layer from the map layer management unit 140 in the map area acquired by the display range input unit 10 .

[0037] The overall configuration of the candidate site condition data storage unit 15 will be described with reference to FIG. The candidate site condition data storage unit 15 comprises a data management unit 150, a surrounding environment acquisition unit 151, and a construction feasibility determination unit 152. The candidate site condition data storage unit 15 stores the surrounding environment in order to evaluate candidate sites for construction of onshore wind turbines.

[0038] The data management unit 150 includes a forest data database 41500, a protected area data database 41501, a radar data database 41502, a power line data database 41503, a wind condition data database 41504, a building data database 41505, an existing wind turbine data database 41506, an elevation data database 41507, a topography data database 41508, and a system congestion data database 41509. These databases store data for each location, such as raster data including geometry information and attribute information. The data management unit 150 compares the map area selected by the display range input unit 10 with the geometry information to extract data within the map area. The forest data database 41500 stores forest classifications for each location and stores regulatory data such as protected forests, national forests, and privately owned forests that require consideration in forest development.

[0039] The Protected Area Data Database 41501 stores regulatory data that must be taken into consideration when developing a site, including nature conservation, flora and fauna protection, cultural property protection, landscape conservation, national disaster prevention, industry-related, restricted surfaces under the Aviation Act, propagation interference prevention areas, defense-related facilities, training areas, minesweeping areas, etc.

[0040] Nature conservation data refers to natural parks, national parks, quasi-national parks, wilderness conservation areas, and nature conservation areas. Flora and fauna protection data refers to wildlife sanctuaries, waterfowl habitats, and habitat protection areas for endangered species. Cultural property protection data refers to cultural heritage sites and natural conservation areas. Landscape conservation data refers to landscape formation areas and scenic areas. National disaster prevention data refers to erosion control designations, areas at risk of steep slope collapse, landslide prevention areas, coastal conservation areas, and general public coastal areas. Industry-related data refers to agricultural land areas, farmland, port areas, waterfront areas, fishing port areas, fishing rights establishment areas, and fishery resource protection areas.

[0041] The radar data database 41502 stores the locations of radars such as weather radars and their surrounding areas. The power line data database 41503 records power transmission and distribution lines. The wind condition data database 41504 stores annual average wind speed, main wind direction, wind direction occurrence frequency, average wind speed by wind direction, wind rose, wind condition curve, and wind speed class occurrence frequency. The building data database 41505 stores areas that require consideration in land use classification site development. Land use classification data includes rice fields, other farmland, forests, wasteland, building sites, roads, railways, other land, rivers, lakes, beaches, seawater areas, golf courses, etc.

[0042] The existing wind turbine data database 41506 stores the areas where wind turbine projects are planned according to the planning stage. The progress of the project plan may correspond to the stage of submission of the environmental impact assessment document, method document, preparatory document, and assessment report to the Ministry of the Environment based on the Environmental Impact Assessment Act, or the stage of submission of the connection study application form or NK certification. The elevation data database 41507 stores elevation values. The topography data database 41508 stores the wind turbine construction feasibility created by the construction feasibility determination unit 153. The grid congestion data database 41509 stores the output suppression prediction results created by the grid congestion layer conversion unit 24. The grid congestion data database 41509 stores the annual suppression ratio, which is the ratio of output suppression to the annual power generation amount when a wind turbine is connected to the nearest substation from each point. The grid congestion data database 41509 also stores the annual operating rate, which is the annual average operating rate of each transmission line relative to the operating capacity.

[0043] In addition, since regulatory information regarding the development of onshore wind turbines changes depending on national policies and the times, it is possible to add or remove attribute information for regulatory information that is expected to be regulated in the future or for which regulations will no longer be necessary.

[0044] The surrounding environment acquisition unit 151 acquires the data selected by the surrounding environment input unit 12 from the data management unit 150. The construction feasibility determination unit 152 compares the feature values ​​extracted from the terrain around the existing wind turbine site with the terrain within the search range, and determines that similar terrain is a location where a wind turbine can be constructed.

[0045] FIG. 8A is a flowchart outlining the operation of the construction feasibility determination unit 152. The construction feasibility determination unit 152 is divided into a learning phase, steps S10 and S11, and an estimation phase, steps S12 and S13. In the learning phase, the construction feasibility determination unit 152 extracts elevation data around the existing wind turbine site (step S10) and extracts feature amounts of this elevation data (step S11). The construction feasibility determination unit 152 is capable of extracting feature amounts of this elevation data for the number of referenced wind turbines.

[0046] In the inference phase, the construction feasibility determination unit 152 calculates the similarity between the feature amount and the feature amount at each point (step S12), and acquires points where the similarity is equal to or greater than an arbitrary threshold as construction possible points (step S13). Because the construction possible points are similar to the topography around the existing wind turbine site, the construction feasibility determination unit 152 considers the topography to be one where wind turbine construction is possible, and stores the location information. That is, the construction feasibility determination unit 152 extracts possible construction sites from the search range using a model that has learned topographical information about the area surrounding the existing wind turbine. The topographical data database 41508 is made up of points that have been determined by the construction feasibility determination unit 152 to be possible for construction.

[0047] The overall configuration of the construction feasibility determination unit 152 will be described with reference to FIG. 8B. The construction feasibility determination unit 152 is configured to include an existing wind turbine site surrounding elevation data acquisition unit 1520, a location-specific elevation data acquisition unit 1521, a feature acquisition unit 1522, a feature comparison unit 1523, and a construction feasibility recording unit 1524. The existing wind turbine site surrounding elevation data acquisition unit 1520 acquires elevation data around the existing wind turbine site from an elevation data database 41507 at the position of the existing wind turbine site referenced in the existing wind turbine data database 41506. Note that the elevation data around the existing wind turbine site is limited to a mesh of an arbitrary range centered on the existing wind turbine, and the arbitrary range may be a 300m square or another range.

[0048] The point-specific elevation data acquisition unit 1521 acquires elevation data for an arbitrary range for each point (hereinafter referred to as point-specific mesh elevation data) by referencing the elevation data database 41507. The feature acquisition unit 1522 acquires feature values ​​for the arbitrary range of elevation data. The method for acquiring feature values ​​will be described later. The feature values ​​for the elevation data around the existing wind turbine site are stored in the existing wind turbine site feature value database 41520, and the feature values ​​for the point-specific mesh elevation data are stored as the search site feature value database 41521.

[0049] The feature comparison unit 1523 quantitatively compares the existing wind turbine site feature database 41520 and the search site feature database 41521 based on a similarity function. The similarity function will be described later. To compare the features of each existing wind turbine site for each location within the search site, the above process is repeated a total of (number of locations within the search site x number of existing wind turbines) times, and the similarity is stored for each location within the search site. The similarity for each location may be the maximum value, average value, or median value of the similarity with the existing wind turbine sites, or a normalized value of the weighted sum of the maximum value and average value, or other indicators may be used. The construction feasibility recording unit 1524 records locations with a similarity higher than an arbitrary threshold as construction possible locations, and locations with a similarity lower than an arbitrary threshold as construction impossible locations, based on the similarity of the search site to the existing wind turbine site topography, as recorded by the feature comparison unit 1523.

[0050] An overview of the learning phase of the construction feasibility determination unit 153 will be described with reference to FIG. 8C. The construction feasibility determination unit 152 extracts mesh data 51520a of elevation centered on the existing site. The mesh data 51520a has mesh elevation values ​​and is a diagram viewed from above the ground. The terrain cross section 51520c is a terrain cross section viewed from the ground surface over an area five squares to the right from the center point 51520b of the mesh data 51520a.

[0051] The construction feasibility determination unit 152 moves one square at a time in one direction from the center point 51520b of the mesh data 51520a, and calculates the number of squares until the elevation difference 51520d before and after the movement exceeds an arbitrary threshold 51520e. This calculation process is applied to eight directions (up, down, left, right, and diagonally), and the set of calculated numbers of squares is extracted as a feature.

[0052] A flowchart of the learning phase of the construction feasibility determination unit 153 will be described with reference to FIG. 8D. First, the construction feasibility determination unit 153 calculates the S tem The elevation data H for each [m] square is extracted (step S20). The elevation data H may be two-dimensional matrix data of average elevation values ​​(mesh data) for each regional mesh defined as a grid of longitude and latitude on a map. Next, the construction feasibility determination unit 153 determines the direction k as the initial direction (step S21) and calculates the feature quantity R p is defined as an empty set (step S22).

[0053] Then, the construction feasibility determination unit 153 determines whether or not the direction k exceeds 7. If the direction k is equal to or less than 7 (No), the process proceeds to step S24. If the direction k exceeds 7 (Yes), the process in FIG. 8D ends.

[0054] In step S24, the construction possibility determination unit 153 determines the number of squares r k is initialized to 0 (step S24), and the number of squares r to move in the direction k is k (Step S25). The construction possibility determination unit 153 determines whether the elevation difference before and after the movement is equal to or greater than an arbitrary threshold T H or the number of squares in all directions exceeds rk is the maximum threshold r max (Step S26). H does not exceed the number of squares r in all directions k is the maximum threshold r max If it is not equal to (No), the process returns to step S25, and the number of squares to advance in the direction k is r k is added by 1. If the difference in elevation before and after the movement is greater than an arbitrary threshold T H or the number of squares in all directions exceeds r k is the maximum threshold r max If it is equal to, the process proceeds to step S27.

[0055] In step S27, the construction feasibility determination unit 153 calculates the feature quantity R p Number of squares in r k The construction feasibility determination unit 153 adds 1 to the direction k (step S28), and the process returns to step S23, where the same flow is performed in another direction. The processes of steps S21, S24, S25, and S26 can be expressed by equation (1).

number

[0056] Equation (1) is expressed as the number of squares r in the direction k from the existing wind turbine p. k The altitude of the position just moved forward and the number of squares (r k -1) The difference in elevation of the advanced position is equal to or exceeds an arbitrary threshold T H The number of squares until it exceeds r k Add up the maximum number of squares you can move in one direction, r max The number of squares when adding repeatedly until it exceeds r k In other words, it determines whether the elevation difference before and after the movement is within a threshold, and therefore determines whether the slope of the terrain in direction k is steep. Note that different criteria may be set for determining the flatness of the terrain around the existing wind turbine site.

[0057] The number of squares until the terrain becomes steep in each direction can be used as a feature, as in equation (1), or the flatness of the terrain can be formulated using other methods. tem [m] The number of squares r that can be moved from the center in any direction within the four-sided mesh max If no steep terrain is found even after exceeding r k (=r max ) to stack.

[0058] In step S23, when the search in eight directions is completed, the learning phase of the construction feasibility determination unit 153 is completed. p can be written as equation (2).

number

[0059] According to formula (2), the number of blocks r from the existing wind turbine site until the slope becomes steep, calculated based on formula (1), k Set R of tmp It can be said that this is a formula for calculating the above. Note that direction k takes values ​​from 0 to 7, indicating a total of eight directions, but it can also take a value indicating more than 16 directions, or a value that is fewer than four directions, or other values.

[0060] A flowchart of the inference phase 51521 of the construction feasibility determination unit 153 will be described with reference to FIG. 8E. First, the construction feasibility determination unit 153 performs the inference tem [m] Altitude data H for all four directions is extracted (step S30).

[0061] Next, the construction feasibility determination unit 153 determines whether or not the entire search range has been searched. If there are any search ranges that have not been searched (No), the process proceeds to step S32. If the entire search range has been searched (Yes), the process of FIG. 8E ends.

[0062] In the procedure shown in Figure 8D, S temThe terrain flatness of the elevation data on each side [m] is quantified (step S32). Next, the construction feasibility determination unit 153 calculates the similarity Sim with the feature amounts of the terrain around the existing wind turbine site that was learned in advance (step S33). Note that the calculation of the similarity may be based on the squared difference between vector elements as in equation (3), or other evaluation equations such as vector similarity such as cosine similarity or absolute difference may be used, or other calculation equations may also be used.

number

[0063] According to formula (3), the squared difference between the feature values ​​of the terrain around the existing wind turbine site and the feature values ​​of the terrain around the search point is calculated for each direction k, and the maximum value of the sum of the squared differences, Dif max In other words, the similarity between the terrain and the flatness of the terrain around the existing wind turbine site is calculated in each direction and the sum of these calculations is used to quantify the similarity between terrains. Note that instead of the sum of squared differences, cosine similarity or other similarity calculation methods may be used.

[0064] Next, the construction feasibility determination unit 153 determines whether the similarity is equal to or smaller than an arbitrary threshold T c A point higher than the target point is stored as a possible construction point (step S34), and the process moves to another point within the search range (step S35), and the process returns to step S31.

[0065] The data stored in candidate site extraction unit 16 will be described with reference to FIG. 9A. The candidate site extraction unit 16 divides the map 5301 into grid-like meshes based on latitude and longitude, and stores data of mesh candidate sites 5302 for each mesh. The data of mesh candidate sites 5302 is linked to mesh information 5303. Fig. 9A is a diagram showing this information displayed as a pop-up on the screen.

[0066] The mesh information 5303 includes information on the center position of the mesh, the shortest distance from the coordinates to the power lines, buildings, and existing wind turbines, the annual average wind speed, and the distance from the center position of the mesh to the power lines, buildings, and existing wind turbines. The candidate site extraction unit 16 may store data necessary for candidate site extraction in addition to the mesh candidate site data. The mesh size may be 500m or another value. The candidate site extraction unit 16 extracts candidate sites for onshore wind turbine construction from the search range that satisfy the extraction conditions set in the extraction condition input unit 13.

[0067] FIG. 9B is a diagram showing the structure of mesh candidate site data in the candidate site extraction unit 16. As shown in FIG. The mesh candidate site data 5304 includes mesh center position information, the shortest distance from the coordinates to the power lines, buildings, and existing wind turbines, the annual average wind speed, and the distance from the mesh center position to the power lines, buildings, and existing wind turbines. The mesh candidate site data 5304 stores this information for each mesh.

[0068] The overall structure of the candidate site extraction unit 16 will be described with reference to FIG. 9C. The candidate site extraction unit 16 is configured to include a condition acquisition unit 160, a threshold acquisition unit 161, and a condition-satisfying point acquisition unit 162. The condition acquisition unit 160 acquires the conditions selected as the candidate site extraction conditions by the extraction condition input unit 13. The threshold acquisition unit 161 acquires the threshold set as the candidate site extraction conditions by the extraction condition input unit 13. For example, if it is desired to prioritize the extraction of sites with good wind conditions as the candidate site extraction conditions, the extraction condition input unit 13 selects "annual average wind speed" and "6.5 m / s or more" as extraction conditions, and the condition acquisition unit 160 acquires "annual average wind speed" and the threshold acquisition unit acquires "6.5 m / s or more". The condition-satisfying point acquisition unit 162 extracts and acquires points that satisfy the extraction conditions acquired by the condition acquisition unit 160 and the threshold acquisition unit 161.

[0069] The overall configuration of the surrounding environment layer creating unit 17 will be described with reference to FIG. 10A. The surrounding environment layer creation unit 17 includes a layer creation unit 170 and a legend creation unit 171. The layer creation unit 170 creates a surrounding environment layer based on the surrounding environment information acquired by the surrounding environment acquisition unit 151. The legend creation unit 171 creates the surrounding environment information acquired by the surrounding environment acquisition unit 151 as a legend.

[0070] The surrounding environment layer and legend created by the surrounding environment layer creating unit 17 will be described with reference to FIG. 10B. The surrounding environment layer 5170 is overlaid on the map and displayed on the screen. The legend 5171 is displayed in the upper left corner of the screen. The surrounding environment layer and the legend are displayed on the map layer. The surrounding environment layer creation unit 17 does not create this map layer.

[0071] The overall configuration of the candidate site layer creation unit 18 will be described using Figure 11A. The candidate site layer creation unit 18 is configured to include a plot creation unit 180 and an information creation unit 181. The plot creation unit 180 creates a candidate site layer by calculating and mapping position coordinates on a map from the position information of the candidate site acquired by the candidate site extraction unit 16. The information creation unit 181 creates candidate site information by referring to the candidate site condition data in the candidate site condition data storage unit 15 and using the information at the point acquired by the candidate site extraction unit 16.

[0072] The display of the candidate site layer 5180 will be described with reference to FIG. 11B. The candidate site layer 5180 is a layer on which a candidate site plot 5181 and a non-candidate site plot 5182 are mapped. Points that were not selected as candidate sites do not need to be plotted as grayscale dots. Note that the candidate site layer is displayed on the map layer, and the candidate site layer creation unit 18 does not create the map layer.

[0073] 11C and 11D illustrate the pop-up display of candidate site information. When the user hovers mouse cursor 5183 over a plot on the display screen, candidate site information 5184 and non-candidate site information 5185 are displayed as a pop-up.

[0074] The overall configuration of the layer display unit 19 will be described with reference to FIG. 12A. The layer display unit 19 is composed of a map display unit 190, a surrounding environment layer overlay unit 191, a surrounding environment legend display unit 192, a candidate site mapping unit 193, and a candidate site pop-up unit 194. The layer display unit 19 displays the construction candidate site extracted by the candidate site extraction unit 16 and the surrounding environment selected in the surrounding environment input unit 12.

[0075] The map display unit 190 displays the map layer stored in the map storage unit 14 as a base layer. The surrounding environment layer overlay unit 191 overlays the surrounding environment layer created by the surrounding environment layer creation unit 17 onto the map layer. The surrounding environment legend display unit 192 displays the surrounding environment information selected by the surrounding environment input unit 12 as a legend. The candidate location mapping unit 193 maps the candidate location layer created by the candidate location layer creation unit 18 onto the map layer. The candidate location pop-up unit 194 displays the candidate location information created by the candidate location layer creation unit 18 in a pop-up.

[0076] The display of the layer display unit 19 will be described using Figures 12B and 12C. Layer 5190 is the layer that is visible across the entire display screen. Note that each layer can be made transparent as needed to make it easier to see. A candidate location layer 5191, a surrounding environment layer 5192, and a map layer 5193 can be displayed in an overlay.

[0077] The overall configuration of the calculation condition input unit 20 will be described with reference to FIG. The calculation condition input unit 20 includes a scenario setting unit 200, an evaluation target generator information setting unit 201, an evaluation target generator output setting unit 202, and a demand output setting unit 203. The calculation condition input unit 20 determines the calculation conditions for evaluating the output suppression amount.

[0078] The scenario setting unit 200 sets uncertain scenarios that will affect the evaluation of the output curtailment amount. The output curtailment amount evaluation unit 2 aims to evaluate the business feasibility of a newly connected generator, so it is necessary to predict the output curtailment amount from the start of operation of the generator to its removal. For example, to evaluate the output curtailment amount of a wind power generation system, it is necessary to determine whether to restart a nuclear power plant, or the amount of new solar power generation systems and power demand over the approximately 20 years from the start of operation to its removal. Note that the scenario setting unit 200 does not set information regarding the expansion and new construction of transmission and transformation facilities and generators that have already been planned. Information regarding the expansion and new construction of these transmission and transformation facilities and generators is stored in the power system data storage unit 21, and the output curtailment amount is simulated.

[0079] The evaluation target generator information setting unit 201 sets the name of the target by the output suppression amount evaluation unit 2, the generator's power source type, maximum and minimum output values, output change rate, connection start time, connection contract information for the power grid such as farm-type connection or non-farm-type connection, grid connection location, grid connection voltage, whether output control is possible, etc.

[0080] The evaluation target generator output setting unit 202 sets the annual output prediction data of the generator. For example, in the case of a wind power generator, the annual output prediction data is created from the annual wind speed data and the power curve of the wind turbine.

[0081] The power system data storage unit 21 will be described with reference to FIG. The power system data storage unit 21 includes a system information storage unit 210 and a system information acquisition unit 211. The power system data storage unit 21 stores the power generation output and demand of the generators that make up the power system, and a power system model, based on calculation conditions. The power system data storage unit 21 stores system configuration information, generator information, facility plan information, power generation output information, and demand output information.

[0082] In this embodiment, the database is stored in the system information storage unit 210, and the system information acquisition unit 211 extracts and outputs the database from the system information storage unit 210 in response to a call command. The system information storage unit 210 is configured to include a system model database 4220, a generator information database 4211, an equipment planning information database 4212, a power generation output information database 4213, a demand output information database 4214, and a transmission line power flow information database 4215.

[0083] The system configuration information database 4210 is configured to include various information such as the connection positions and connection relationships of the transmission and transformation facilities, generators, and loads that make up the power system, as well as the impedance and capacity of the transmission and transformation facilities. The generator information database 4211 is configured to include various information such as the names of generators connected to the power system, the generator's power source type, maximum and minimum output values, output change rate, scheduled operation start date and time and scheduled operation discharge date and time, operation start and end times, connection contract information for the power system such as firm connection or non-firm connection type, system interconnection location, interconnection voltage, whether output control is possible, etc.

[0084] The facility plan information database 4212 includes information on expansion plans, new construction plans, and decommissioning plans for the power transmission and transformation facilities and generators that make up the power grid. The power generation output information database 4213 stores time-series data on actual or planned output values ​​for generators such as thermal power generators, nuclear power generators, biomass power generators, geothermal power generators, hydroelectric power generators, pumped storage power generators, wind power generation systems, solar power generation systems, and storage battery systems.

[0085] The demand output information database 4214 stores time series data of actual values ​​of power transmitted and distributed from each substation to a lower-level system. The demand output information database 4214 stores time series data of actual values ​​of power flow at the substation and the sum of power consumption of the entire target power system. The demand output information database 4214 may also store time series data of power consumption of the load.

[0086] The power line power flow information database 4215 stores the power flow record values ​​of the power lines, repair periods, and open-circuit periods of the power lines. The power flow record values ​​of the power lines are also stored together with the measurement points, and it is also assumed that the power flow record values ​​are stored as to whether they were measured at the sending end, branch point, or receiving end of the power line, or at some other point.

[0087] The output suppression amount calculation unit 22 will be described with reference to FIG. The output suppression amount calculation unit 22 includes a system model construction unit 220 , a power generation output prediction unit 221 , a point-by-point demand prediction unit 222 , a power flow calculation unit 223 , and a power generation output control unit 224 .

[0088] The output suppression amount calculation unit 22 performs power flow calculations in the power flow calculation unit 223 based on the system model database 4220 created in the system model construction unit 220, the power generation output prediction value database 4221 calculated in the power generation output prediction unit 221, and the location-specific demand prediction value database 4222 calculated in the location-specific demand prediction unit 222, to calculate a transmission line power flow prediction value database 4223. Here, the power flow calculation unit 223 predicts the amount of power flow on the transmission line.

[0089] The output suppression amount calculation unit 22 further creates a post-suppression power output prediction value database 4224 and a post-suppression power line power flow prediction value database 4225 in the power generation output control unit 224 based on the system model database 4220, the power generation output prediction value database 4221, the location-specific demand prediction value database 4222, and the power transmission line power flow prediction value database 4223. In other words, the output suppression amount calculation unit 22 calculates the output suppression amount based on the data stored in the power system data storage unit 21.

[0090] Furthermore, the output suppression amount calculation unit 22 suppresses the output of the generator so as to comply with system constraints and supply-demand constraints, or suppresses the output of the generator to maximize the value of the generator, which includes operating costs as well as penalties for environmental load and system congestion.

[0091] The system model construction unit 220 acquires the system configuration information database 4210 and the equipment planning information database 4212 from the power system data storage unit 21, and constructs a system model that includes the generators and loads connected to each bus, the buses to which transmission lines are connected, the number of circuits of the transmission lines, impedance, resistance, capacitance, and transmission capacity.

[0092] The power generation output prediction unit 221 determines the start-up state of generators other than thermal power generators by starting up generators other than thermal power generators with reference to the priority power dispatch rule so that the total amount of power generated and the total amount of demand in the entire target power system match, from the generator information database 4211. Then, the power generation output prediction unit 221 predicts the output of the generators based on the system configuration information database 4210, the generator information database 4211, the facility plan information database 4212, the power generation output information database 4213, and the demand output information database 4214.

[0093] The system model construction unit 220 determines the operating state of the thermal power generators so as to supply the discrepancy between the amount of consumed power and the amount of generated power after securing the adjustment capacity and reserve capacity required according to the amount of demand in the entire power system. At this time, the system model construction unit 220 determines the start / stop plan and power generation output of the thermal power generators so as to minimize the fuel cost of the entire thermal power generators while observing the operational constraints of the thermal power generators.

[0094] The system model construction unit 220 stores the determined power generation output in the power generation output prediction value database 4221. Note that the operational constraints refer to the maximum and minimum values ​​of the output of the thermal power generator, the rate of output change, the maximum and minimum values ​​of the operating time, the upper limit of the amount of fuel used, and the inertia constant constraint of the entire system, and other constraints may also be taken into consideration. The system model constructing unit 220 constructs a power system model based on a system configuration information database 4210 and an equipment planning information database 4212 .

[0095] Furthermore, a linear function or a higher-order function or other functions may be used as a function representing fuel costs. However, for generators with a rated output of 100 MW or more whose power generation output performance is publicly available, or other generators for which power generation output performance is available, the power generation output performance may be obtained from the power generation output information database 4213 and stored in the power generation output prediction value database 4221. Based on the system model database 4220, the location-specific demand prediction unit 222 creates a power transfer distribution factor (PTDF), which is a matrix including an index representing the degree of influence that the amount of active power flowing through a certain bus has on the power flow rate of a certain transmission line. Using this, the location-specific demand prediction unit 222 predicts the demand for each location in the power system.

[0096] Based on the PTDF and the transmission line power flow information database 4215, the active power flowing through each bus in the power system is calculated to predict the location-specific demand. The system model construction unit 220 stores the location-specific demand in the location-specific demand forecast value database 4222. Note that for substations whose actual location-specific demand values ​​are publicly available or other location-specific demand whose actual location-specific demand values ​​are available, the values ​​may be obtained from the demand output information database 4214 and stored as the location-specific demand forecast values. The power flow calculation unit 223 uses the system model database 4220 to create a matrix representing the interconnection relationships between each bus in the power system, and creates an admittance matrix whose matrix elements are composed of the admittances of the transmission lines connected between the buses. The power line power flow is calculated using the admittance matrix, the power generation output forecast value database 4221, and the location-specific demand forecast value database 4222. The transmission line power flow may be calculated using the DC method, the AC method, or another power flow calculation method. Furthermore, the power generation output predicted value database 4221 and the power transmission line power flow predicted value database 4223 may be calculated using a method that combines the functions of the power generation output predictor 221 and the power flow calculator 223.

[0097] In other words, it is also possible to use OPF (Optimal Power Flow), which expresses the operating costs of all generators as a function, aims to minimize the total operating costs, and calculates the power generation output and transmission line flow so that power can be transmitted and distributed within the operating capacity of the transmission line while observing the constraints that the total amount of power generated matches the amount of demand and the operating constraints of the generators.

[0098] The power generation output control unit 224 uses a system model database 4220, a power generation output prediction value database 4221, a location-specific demand prediction value database 4222, and a transmission line current prediction value database 4223 to suppress the output of the generator based on the algorithm described below, and stores the results in a post-suppression power generation output prediction value database 4224 and a post-suppression transmission line current prediction value database 4225.

[0099] A flowchart showing the operation of the power generation output control unit 224 will be described using Figures 16A and 16B. Figures 16A and 16B show two flowcharts for reproducing the power generation output control unit 224, and it is assumed that the power generation output control unit 224 is implemented based on these two flowcharts or other algorithms. Note that, below, the condition that the capacity of the transmission and transformation equipment is not exceeded is referred to as a system constraint, and the condition that the amount of power generated by generators in the entire power system matches the amount of demand is referred to as a supply and demand constraint, and reducing the power generated by generators due to the system constraint and supply and demand constraint is referred to as output suppression.

[0100] In FIG. 16A, the power generation output control unit 224 sets the number of years Y for calculating the suppression amount for the power generator to be evaluated (step S40), and sets an initial value for the repetition time (step S41). Then, the power generation output control unit 224 determines whether time t has reached 24 hours x 365 days = 8760 hours and whether all output suppression amounts for one year have been calculated (step S42). If time t has not reached 8760 hours (No), the process proceeds to step S43. If time t has reached 8760 hours (Yes), the process of FIG. 16A ends.

[0101] In step S43, based on the system model database 4220 and the power line power flow prediction value database 4223, the power generation output control unit 224 suppresses the output of the generators in the order of the local system so as to observe the system constraints. Next, the power generation output control unit 224 suppresses the output of the generators in the main system (step S44). Note that the local system is a system with a lower voltage class, and the main system is a system with a higher voltage class, and the specific voltage class value differs depending on the target power system. Thereafter, the power generation output control unit 224 suppresses the output of the generators so as to observe the supply and demand constraints (step S45). Then, the power generation output control unit 224 records the calculated output suppression amount (step S46), updates the time section (step S47), and the process returns to step S42. In this example, the time is set in one-hour increments, and it is assumed that there are 8,760 time slices, but other time granularities may be used.

[0102] In FIG. 16B, the power generation output control unit 224 sets the number of years Y for calculating the suppression amount for the power generator to be evaluated (step S50), and sets an initial value for the repetition time (step S51). The power generation output control unit 224 then determines whether time t has reached 24 hours x 365 days = 8760 hours and whether all output suppression amounts for one year have been calculated (step S52). If time t has not reached 8760 hours (No), the process proceeds to step S53. If time t has reached 8760 hours (Yes), the process of FIG. 16B ends.

[0103] In step S53, the power generation output control unit 224 calculates the value of each power source, the local marginal price (LMP) for each generator, which reflects system congestion. Furthermore, with the aim of minimizing the total LMP, the power generation output control unit 224 solves an optimal power flow (OPF) so that the amount of power generated by the generators in the entire power system matches the amount of power demand and the power flow in the transmission lines is within the operating capacity of the transmission lines (step S54). The OPF may be solved based on an LMP that penalizes the amount of transmission congestion on the operating costs of the generators, or it may be solved based on an LMP that changes the value standard of the generators depending on environmental load and other factors and is set to ensure fair power generation opportunities for the generators.

[0104] Then, the power generation output control unit 224 records the calculated output suppression amount (step S55), updates the time section (step S56), and the process returns to step S52.

[0105] The flowchart of step S43 will be described with reference to FIGS. 16C and 16D. First, the power generation output control unit 224 assigns 1 to variable R, which indicates the power source number (step S60), and determines whether the capacity of the power transmission and transformation equipment in the target system is exceeded (step S61). If the capacity of the power transmission and transformation equipment in the target system is not exceeded in step S61 (No), the processing of FIG. 16C ends. If the capacity of the power transmission and transformation equipment in the target system is exceeded (Yes), the processing proceeds to step S62. In step S62, the processing branches multiple times based on variable R. If variable R is 1, the processing proceeds to step S631. If variable R is 2, the processing proceeds to step S6321. If variable R is 3, the processing proceeds to step S633. If variable R is 4, the processing proceeds to step S6341. If variable R is 5, the processing proceeds to step S6351. If variable R is 6, the processing proceeds to step S6361. If variable R is 7, the processing proceeds to step S6371. If variable R is 8, the process proceeds to step S6381. If variable R is 9, the process proceeds to step S6391.

[0106] In step S631, the power generation output control unit 224 controls the output of the regulated power source in merit order, and solves the OPF with only the local grid as the grid constraint. Then, the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0107] In step S6321, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 uniformly suppresses power generation for generators that have a positive PTDF for congested transmission lines, are connected in a non-firm type, and are not online controllable (step S6322). If the suppression amount is absorbed by the slack bus (step S6323), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0108] In step S633, the power generation output control unit 224 controls the output of the farm-type connected generators that cannot be controlled online in a merit order, and solves the OPF with only the local grid as the grid constraint. Then, the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0109] In step S6341, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 uniformly suppresses the power consumption of biomass power generators that are connected in a non-firm type and have a positive PTDF for transmission lines with grid congestion (step S6342). If the suppression amount is absorbed by the slack bus (step S6343), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0110] In step S6351, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 uniformly suppresses non-firm-connected, variable-energy power sources (e.g., photovoltaic power generation systems and wind power generation systems) for which the PTDF is positive for congested transmission lines (step S6352). If the suppression amount is absorbed by the slack bus (step S6353), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0111] In step S6361, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 uniformly suppresses the output of local resource biomass power generators for which the PTDF is positive for congested transmission lines, which are non-firm connected, and for which output control is difficult (step S6362). If the suppression amount is absorbed by the slack bus (step S6363), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0112] In step S6371, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 uniformly suppresses the power consumption of biomass power generators that are temporarily connected to a non-firm type and have a positive PTDF for the congested transmission line (step S6372). If the suppression amount is absorbed by the slack bus (step S6373), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0113] In step S6381, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 determines whether the PTDF is positive for the congested transmission line and uniformly suppresses the renewable energy sources that are temporarily connected in a non-firm manner (step S6382). If the suppression amount is absorbed by the slack bus (step S6383), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends.

[0114] In step S6391, the power generation output control unit 224 calculates the PTDF. Then, the power generation output control unit 224 performs uniform suppression on local resource biomass power generators for which the PTDF is positive for congested transmission lines, which are provisionally connected without a firm, and for which output control is difficult (step S6392). If the suppression amount is absorbed by the slack bus (step S6393), the process proceeds to step S64. In step S64, the power generation output control unit 224 determines whether the variable R is 9. If the variable R is not 9 (No), the power generation output control unit 224 adds 1 to the variable R (step S65) and returns to step S61. If the variable R is 9 (Yes), the process of FIG. 16C ends. The ratio in the uniform suppression may be calculated using the following formula (4) or another formula.

number

[0115] According to equation (4), the larger the correction amount Cor at a given node at a given time, the greater the impact that node has on the error in the power line flow. The correction amount changes depending on the PTDF, which is an index that indicates the degree of impact that the node has on the power flow rate of a certain transmission line. Note that although the power flow distribution coefficient PTDF is used to determine the correction amount, other indices may also be used.

[0116] The flowchart of step S44 will be described with reference to FIGS. 16E and 16F. Unlike step S6311 in FIG. 16C, in step S6312, the power generation output control unit 224 controls the output of the regulating power source in the merit order, and solves the OPF with only the main grid as the grid constraint. Furthermore, unlike step S6331 in Fig. 16C, in step S6332, the power generation output control unit 224 controls the output of the farm-type connected generators that cannot be controlled online in merit order, and solves the OPF with only the main grid as the grid constraint. The other processing is the same as the processing of each step in Fig. 16C and Fig. 16D.

[0117] The overall configuration of the output suppression amount display unit 23 will be described with reference to FIG. 17A. The output suppression amount display unit 23 includes a system utilization rate map creation unit 230, a scenario-specific cumulative power sales ratio graph creation unit 231, a fiscal year-specific power sales ratio graph creation unit 232, and a calculation result display unit 233. The output suppression amount display unit 23 displays the output suppression amount calculated by the output suppression amount calculation unit 22.

[0118] The system utilization rate map creation unit 230 calculates the average utilization rate of the power transmission and transformation equipment relative to its operational capacity, using the system model database 4220 and the transmission line power flow prediction value database 4223. Then, the system utilization rate map creation unit 230 displays the average utilization rates of the power transmission and transformation equipment as a heat map in the system model database 4220, creates a map by overlaying it on a map layer, and stores the map in the system utilization rate map database 4230.

[0119] The scenario-specific cumulative power sales ratio graph creation unit 231 calculates the annual power generation amount of the power generator that is the subject of suppression amount evaluation and the annual power sales amount that was able to be sent to the grid after output was suppressed due to grid constraints and supply-demand constraints, based on the power generation output forecast value database 4221 and the post-suppression power generation output forecast value database 4224. The ratio of the annual power sales amount to the annual power generation amount will be called the power sales ratio. The scenario-specific cumulative power sales ratio graph creation unit 231 then calculates the cumulative power sales ratio by accumulating the calculated power sales ratios for each fiscal year for the number of verification years. This process is calculated for each scenario set in the scenario setting unit 200, displayed as a bar graph, and stored in the scenario-specific cumulative power sales ratio graph database 4231.

[0120] The annual power sales ratio graph creation unit 232 plots the power sales ratio for each fiscal year as a bar graph. Note that estimation errors occur in the post-suppression power sales output predicted value database 4224 due to the scenario, system model construction unit 220, power generation output prediction unit 221, location-specific demand prediction unit 222, power flow calculation unit 223, and power generation output control unit 224. The annual power sales ratio graph creation unit 232 calculates the errors together with the error factors, displays them as a bar graph as an error range, and stores them in the annual power sales ratio graph database 4232.

[0121] The display of the output suppression amount display unit 23 will be described with reference to FIG. 17B. Pane 5231 is an area that visualizes the extent to which transmission lines are utilized in the entire power system. Specifically, pane 5231 overlays a heat map display 5232a of the average utilization rate relative to the operational capacity of transmission and transformation facilities on a map layer, and displays a color bar 5233 of the heat map display 5232a as a legend.

[0122] Heat map display 5232a may show the utilization rate relative to the operational capacity of transmission and transformation equipment in the power system at the time cross section when the suppression amount for the generator being evaluated for suppression amount is maximum. When mouse 5232b is hovered over the transmission and transformation equipment, time-series data of the average utilization rate of the transmission and transformation equipment may be displayed as a pop-up, as in graph 5232c. Graph 5232c makes it possible to check the seasonal trends of the current direction and amount of current at the transmission and transformation equipment hovered over with mouse 5232b, making it possible to consider the connection of generators with seasonal trends.

[0123] Pane 5234 is an area for displaying a graph that visualizes the suppression amount for the power generator that is the target of suppression amount evaluation for each scenario set in calculation condition input unit 20. The vertical axis of this graph is the ratio [%] of the amount of electricity sold over 20 years to the amount of electricity generated over 20 years. Note that other years may be used instead of 20 years. For example, the amount of electricity sold over 20 years to the amount of electricity generated over 20 years, calculated based on scenario D, is represented by bar 5235 in the graph. Pane 5234 may also display a legend 5236 for the graph.

[0124] Pane 5237 is a graph area that visualizes the suppression amount for the generator that is the subject of suppression amount evaluation for each fiscal year. The vertical axis of the graph represents the ratio [%] of the annual power sales amount to the annual power generation amount for each fiscal year, and the horizontal axis represents the fiscal year. For example, bar 5238 represents the ratio of the power sales amount for fiscal year 2048 to the annual power generation amount for fiscal year 2048. The graph may also display an error range 5239 that takes into account estimation errors and system model errors. The error range is an error that takes into account estimation errors in the system model construction unit 220, power generation output prediction unit 221, location-specific demand prediction unit 222, power flow calculation unit 223, and power generation output control unit 224, in addition to the operation and planning of the generators and transmission and transformation facilities set in the scenario setting unit 200, and quantitatively indicates the accuracy of this device.

[0125] The overall configuration of the congestion layer conversion unit 24 will be described with reference to FIG. 18A. The system congestion layer conversion unit 24 is configured to include a wind turbine pseudo-connection unit 240, a power flow calculation unit 241, a power generation output control unit 242, and a system congestion layer creation unit 243. The system congestion layer conversion unit 24 visualizes the degree of system congestion in the power system from the utilization rates of the transmission lines in the power system. The system congestion layer conversion unit 24 may visualize the utilization rates of the transmission and transformation facilities in the power system on a map based on the system configuration information database 4210, the equipment plan information database 4212, and the transmission line power flow information database 4215.

[0126] This allows users to search for candidate sites for onshore wind turbine construction while taking output curtailment amounts into consideration, thereby reducing the risk of business interruption due to doubts about profitability caused by output curtailment amounts exceeding a certain percentage.In addition, by evaluating the output curtailment amounts of generators other than onshore wind turbines and the utilization rate relative to the operating capacity of transmission lines, it is possible to evaluate the business viability of generators for which new interconnection is being considered.

[0127] The wind turbine pseudo-connection unit 240 virtually connects a wind turbine to a substation with a secondary voltage of 66 kV within the range for creating the grid congestion layer. The newly connected wind turbine and its power output are added to the grid model database 4220 and the power output forecast value database 4221, creating a grid model database 4240 and a power output forecast value database 4241. The wind turbine pseudo-connection unit 240 creates as many grid model databases 4240 and power output forecast value databases 4241 as there are substations with a secondary voltage of 66 kV. However, the virtual grid connection point of the wind turbine is not limited to substations with a secondary voltage of 66 kV, and may be other voltage classes or other power transmission and transformation facilities. For example, the virtual grid connection point of the wind turbine may be limited to a transmission line with a voltage class of 66 kV, or may be both a transmission line with a voltage class of 66 kV and a substation with a secondary voltage of 66 kV. The wind turbine pseudo-connection unit 240 predicts the predicted power output value of the pseudo-added wind turbine using the same method as the power output prediction unit 221.

[0128] The power flow calculation unit 241 predicts the power line power flow using the same method as the power flow calculation unit 223 based on the system model database 4240, the power generation output prediction value database 4241, and the location-specific demand prediction value database 4222.

[0129] The power generation output control unit 242 suppresses the output of the power generator in the same manner as the power generation output control unit 224 , calculates the suppression ratio of the pseudo-connected wind turbine, and stores the calculated ratio in the suppression ratio database 4242 . The system congestion layer creation unit 243 divides substations with a secondary voltage of 66 kV into predetermined areas, divides the suppression ratio database 4242 for each area, and calculates the average value of the suppression ratio for each area. The system congestion layer creation unit 243 creates a layer for heat map display based on the average value of the suppression ratio for each area, and stores it in the system congestion layer database 4243.

[0130] The display of the system congestion layer conversion unit 24 will be described with reference to FIG. 18B. A heat map display layer 5240 showing the average suppression ratio for wind turbines connected to substations in the area is overlaid on the map layer, and a legend 5241 is displayed. However, the map layer is not created by the system congestion layer conversion unit 24, but is displayed as an overlay on the map layer by the layer display unit 19. The area division method may be based on information disclosed by the general electricity transmission and distribution company, or may be a method of dividing the area into areas affected by output suppression using a PTDF created from the system model database 4220.

[0131] The first embodiment makes it possible to evaluate candidate sites for onshore wind turbines by taking into consideration all of the important conditions for searching for candidate sites for onshore wind turbines, such as wind conditions, surrounding environment, topography, and output suppression. This reduces the risk of business interruption for onshore wind turbines and contributes to accelerating the introduction of onshore wind turbines.

[0132] Second Embodiment In the first embodiment, the display range is selected on the map and candidate sites within the display range are extracted, so there is a possibility that candidate sites may be overlooked depending on the selected display range.

[0133] An example of the functional configuration of an onshore wind turbine candidate site evaluation device 3A according to the second embodiment of the present invention will be described using Figure 19. An example of the functional configuration related to the grid connection point moving unit 25, which is added to the functional aspects of the onshore wind turbine candidate site evaluation device 3 according to the first embodiment of the present invention, will be described.

[0134] The grid interconnection point moving unit 25 displays the direction in which to move the display range when there are few candidate sites extracted by the candidate site extraction unit 16 within the display range selected by the display range input unit 10, or when the suppression ratio is so high that it is difficult to recover the investment at the candidate site.

[0135] 20A, a flowchart of the grid interconnection point moving unit 25 will be described. The display range is moved by the display range input unit 10 (step S70), and the number of plots of candidate sites extracted by the candidate site extraction unit 16 is counted (step S71). Next, the grid interconnection point moving unit 25 determines whether the site area required for constructing the wind turbine has been secured (step S72). If the site area required for constructing the wind turbine has not been extracted sufficiently (No), the process proceeds to step S73. In step S73, the grid interconnection point moving unit 25 overlays a display of movement in a direction where there are more candidate sites (step S73), and the process returns to step S70 again, where the display range is moved (step S70), and the candidate site search is repeated.

[0136] The determination in step S72 will be YES if the planned number of wind turbines to be constructed for each project has been determined in advance. Furthermore, when estimating the site area required for wind turbine construction, the calculation will take into account the wake phenomenon and the separation distance between each wind turbine, and an area that will ensure sufficient space for installation work.

[0137] In step S72, if the site area required for wind turbine construction has been extracted sufficiently (Yes) and the number of plots in the candidate site exceeds the site area required for wind turbine construction, the process proceeds to step S74.

[0138] In step S74, the grid-connection point moving unit 25 determines whether the suppression ratio is smaller than an arbitrary threshold value. The threshold value of the suppression ratio is set to an allowable suppression ratio based on the electricity sales revenue required to recover the investment costs, which differ for each project. If the suppression ratio is greater than the arbitrary threshold (No), the process proceeds to step S75. In step S75, the grid interconnection point moving unit 25 overlays a movement display in the direction of a lower suppression ratio, and the process returns to step S70. If the suppression ratio is smaller than the arbitrary threshold (Yes), the process of FIG. 20A ends.

[0139] In the processing of steps S73 and S75, if the candidate sites and suppression ratios in the surrounding area are the same as those in the current display area, the grid interconnection point moving unit 25 does not overlay the moving display. Therefore, if the moving display is not displayed on the screen, it means that the number of plots of candidate sites is greater and the suppression ratio is lower compared to the eight areas surrounding the display area. In the processing of step S70, the user of the device is responsible for moving the display area, but the moving display of the display area may be overlaid to automate the moving. If the display area is moved according to the moving display of the grid interconnection point moving unit 25, the moved display area is input to the display range input unit 10. In addition, if the grid interconnection point is changed, the calculation condition input unit 20 changes the grid interconnection point of the generator to be evaluated in the evaluation target generator information setting unit 201.

[0140] An overview of the grid-connection point shifter 25 will be described with reference to FIG. 20B. Display range 5250 is the current display range. The number of plots and suppression ratios of candidate sites in eight surrounding directions are compared, and a movement display 5251 is overlaid to show the best direction. Note that a pane 5252 may be displayed to show how the number of plots and suppression ratios of candidate sites change as a result of movement.

[0141] Third Embodiment The onshore wind turbine candidate site evaluation devices of the first and second embodiments are capable of evaluating candidate sites for onshore wind turbines by forward or bidirectional data exchange between the candidate site search unit 1 and the output suppression amount evaluation unit 2. However, in cases where the range of the candidate site has been determined but the grid connection point has not, or where the grid connection point has been determined but the site for constructing the wind turbine has not, the first and second embodiments will perform redundant evaluations.

[0142] An example of the functional configuration of an onshore wind turbine candidate site evaluation device 3B according to the third embodiment of the present invention will be described with reference to FIG. The onshore wind turbine candidate site evaluation device 3B according to the third embodiment differs from the onshore wind turbine candidate site evaluation device 3 according to the first embodiment in that it does not require the exchange of data between the candidate site search unit 1 and the output suppression amount evaluation unit 2. Therefore, evaluation using the candidate site search unit 1 and evaluation using the output suppression amount evaluation unit 2 are possible depending on the progress of the project.

[0143] The configuration and effects of the present invention will be described below.

[0144] [1] a calculation condition input unit (20) that determines calculation conditions for evaluating an output suppression amount; a power system data storage unit (21) that stores the power output and demand of the generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit (22) that calculates an output suppression amount based on the data stored in the power system data storage unit (21); an output suppression amount display unit (23) that displays the output suppression amount; a system congestion layer conversion unit (24) that visualizes a system congestion state of the power system based on a utilization rate of a transmission line in the power system; A renewable energy power generator candidate site evaluation device comprising:

[0145] This makes it possible to search for candidate sites for onshore wind turbine construction while taking the amount of output curtailment into consideration, thereby reducing the risk of business interruption due to doubts about profitability caused by the amount of output curtailment exceeding a certain percentage.

[0146] [2] The power system data storage unit (21) stores system configuration information (system configuration information database 4210), generator information (generator information database 4211), facility plan information (facility plan information database 4212), power generation output information (power generation output information database 4213), and demand output information (demand output information database 4214). 2. The renewable energy power generator candidate site evaluation device according to claim 1.

[0147] This makes it possible to calculate the amount of output suppression of the generator connected to the power grid based on this power grid data.

[0148] [3] The generator information (generator information database 4211) includes the power source type of the generator connected to the power grid, the maximum and minimum output values, the output change rate, the operation start time and operation end time, the coefficient in the fuel cost function, the number of connected generators, the scheduled operation start date and time and the scheduled operation discharge date and time, the scheduled operation end date and time, and the connection contract information for the grid of non-firm type connection and firm type connection. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0149] This makes it possible to calculate the amount of output suppression of the generator connected to the power grid based on the various pieces of generator information.

[0150] [4] The facility planning information (facility planning information database 4212) includes information on plans for the construction and decommissioning of power transmission and transformation facilities and generators that constitute the power system. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0151] This makes it possible to calculate the amount of output suppression of the generator connected to the power grid based on this facility planning information.

[0152] [5] The power generation output information (power generation output information database 4213) stores time-series data of actual or planned output of generators of thermal power generators, nuclear power generators, biomass power generators, geothermal power generators, hydroelectric power generators, pumped storage power generators, wind power generation systems, solar power generation systems, and storage battery systems. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0153] This makes it possible to calculate the amount of output suppression of the generator connected to the power grid based on this power generation output information.

[0154] [6] The demand output information (demand output information database 4214) stores time-series data of the actual power flow value of the substation and the sum of the power consumption of the entire target power system. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0155] This makes it possible to calculate the amount of output suppression of the generator connected to the power grid based on this demand output information.

[0156] [7] a power generation output prediction unit (221) that predicts the output of a power generator based on the system configuration information (system configuration information database 4210), the power generator information (power generator information database 4211), the facility plan information (facility plan information database 4212), the power generation output information (power generation output information database 4213), and the demand output information (demand output information database 4214); a location-specific demand forecasting unit (222) that forecasts location-specific demand in the power system; a system model construction unit (220) that constructs a power system model based on the system configuration information (system configuration information database 4210) and the facility planning information (facility planning information database 4212); a power flow calculation unit (223) for predicting the power flow rate of a transmission line; Equipped with the output suppression amount calculation unit (22) calculates an output suppression amount for suppressing the output of the generator so as to comply with the grid constraint and the supply-demand constraint. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0157] This makes it possible to suitably calculate the amount of output suppression of the generator.

[0158] [8] a power generation output prediction unit (221) that predicts the output of a power generator based on the system configuration information (system configuration information database 4210), the power generator information (power generator information database 4211), the facility plan information (facility plan information database 4212), the power generation output information (power generation output information database 4213), and the demand output information (demand output information database 4214); a location-specific demand forecasting unit (222) that forecasts location-specific demand in the power system; a system model construction unit (220) that constructs a power system model based on the system configuration information (system configuration information database 4210) and the facility planning information (facility planning information database 4212); a power flow calculation unit (223) for predicting the power flow rate of a transmission line; Equipped with the output suppression amount calculation unit (22) calculates an output suppression amount for suppressing the output of the generator in order to maximize the value of the generator, which includes not only the operating cost but also penalty terms for environmental load and grid congestion. 3. The renewable energy power generator candidate site evaluation device according to claim 2.

[0159] This makes it possible to suitably calculate the amount of output suppression of the generator.

[0160] [9] The system congestion layer conversion unit (24) visualizes the utilization rate of the power transmission and transformation facilities in the power system on a map based on the system configuration information (system configuration information database 4210), the facility plan information (facility plan information database 4212), and the power transmission line power flow rate. 9. The renewable energy power generator candidate site evaluation device according to claim 7 or 8.

[0161] This makes it possible to visualize the best location for installing the generator.

[0162]

[10] a calculation condition input unit (20) that determines calculation conditions for evaluating an output suppression amount; a power system data storage unit (21) that stores the power output and demand of the generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit (22) that calculates an output suppression amount based on the data stored in the power system data storage unit (21); an output suppression amount display unit (23) that displays the output suppression amount; a system congestion layer conversion unit (24) that visualizes a system congestion state of the power system based on a utilization rate of a transmission line in the power system; an extraction condition input unit (13) for setting conditions for extracting candidate sites for onshore wind turbine construction; a surrounding environment input unit (12) for selecting surrounding environments to be displayed in order to evaluate the construction candidate site; a candidate site condition data storage unit (15) for storing the surrounding environment; a candidate site extraction unit (16) that extracts, from the search range, candidate sites that satisfy the extraction conditions set in the extraction condition input unit (13); a layer display unit (19) that displays the construction candidate site extracted by the candidate site extraction unit (16) and the surrounding environment selected by the surrounding environment input unit (12); 2. The onshore wind turbine candidate site evaluation device according to claim 1, further comprising:

[0163] This allows the surrounding environment of the proposed site for the construction of an onshore wind turbine to be displayed in an appropriate manner.

[0164]

[11] The candidate site condition data storage unit (15) stores data including forest data, protected area data, radar data, power line data, wind condition data, building data, existing wind turbine data, topographical data, and system congestion data. 11. The onshore wind turbine candidate site evaluation device according to claim 10.

[0165] This allows areas that are unsuitable as potential sites for onshore wind turbines to be excluded.

[0166]

[12] The system further comprises a construction feasibility determination unit (152) that extracts possible construction sites from the search range using a model that has learned topographical information of areas surrounding existing wind turbines. 12. The onshore wind turbine candidate site evaluation device according to claim 11.

[0167] This allows areas that are unsuitable as potential sites for onshore wind turbines to be excluded.

[0168]

[13] The topographical data includes points determined by the construction feasibility determination unit to be constructable. 13. The onshore wind turbine candidate site evaluation device according to claim 12.

[0169] This allows areas that are unsuitable as potential sites for onshore wind turbines to be excluded.

[0170]

[14] a display device that displays a map layer, a surrounding environment layer that shows the surrounding environment, a candidate site layer that shows the construction candidate site, and a result of the output suppression amount; 11. The onshore wind turbine candidate site evaluation device according to claim 10.

[0171] This makes it possible to display areas that are suitable as potential sites for building onshore wind turbines, taking into account the results of the output curtailment amount.

[0172]

[15] a step in which a calculation condition input unit (20) determines calculation conditions for evaluating an output suppression amount; a step in which a power system data storage unit (21) stores the power generation output and demand of the generators constituting the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit (22) calculating an output suppression amount based on data stored in the power system data storage unit; an output suppression amount display unit (23) displaying the output suppression amount; a step of visualizing a system congestion state of the power system from a utilization rate of a transmission line in the power system by a system congestion layer conversion unit (24); A method for evaluating a potential site for a renewable energy power plant, comprising:

[0173] This makes it possible to search for candidate sites for onshore wind turbine construction while taking the amount of output curtailment into consideration, thereby reducing the risk of business interruption due to doubts about profitability caused by the amount of output curtailment exceeding a certain percentage.

[0174] <<Variation>> The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. It is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0175] The above-described configurations, functions, processing units, processing means, etc. may be realized in part or in whole by hardware such as an integrated circuit. The above-described configurations, functions, etc. may be realized by software by a processor interpreting and executing a program that realizes each function. Information such as the programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or on a storage medium such as a flash memory card or a DVD (Digital Versatile Disk).

[0176] In each embodiment, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are interconnected. [Explanation of symbols]

[0177] 3, 3A, 3B Onshore wind turbine candidate site evaluation device (renewable energy generator candidate site evaluation device) 1 Candidate site search department 2. Output suppression amount evaluation section 10 Display range input section 11 Map input section 12 Surrounding environment input section 13 Extraction condition input section 14 Map memory section 15. Candidate site condition data storage section 16 Candidate location extraction part 17 Surrounding environment layer creation section 18 Candidate site layer creation section 19 Layer display section 20 Calculation condition input section 21 Power system data storage unit 22 Output suppression amount calculation unit 23 Output suppression amount display section 24 System congestion layer conversion unit 100 Map range selection section 101 Location information conversion unit 102 Location information output unit 110 Map Selection Section 111 Map output unit 120 Surrounding Environment Selection Department 121 Surrounding environment output unit 130 Extraction condition selection section 131 Extraction threshold setting unit 132 Extraction condition output section 140 Map Layer Management Unit 141 Map layer acquisition unit 150 Data Management Department 151 Surrounding Environment Acquisition Department 152 Construction feasibility determination department 160 Condition Acquisition Section 161 Threshold acquisition unit 162 Condition Satisfaction Point Acquisition Unit 170 Layer Creation Section 171 Legend Creation Department 180 Plot Creation Department 181 Information Creation Department 200 Scenario Setting Section 201 Evaluation target generator information setting unit 202 Generator output setting unit to be evaluated 210 System information storage unit 211 System information acquisition section 220 System Model Construction Department 221 Power Generation Output Prediction Unit 222 Location-specific Demand Forecasting Department 223 Tidal flow calculation section 224 Power generation output control unit 230 System utilization rate map creation section 231 Scenario-specific cumulative power sales ratio graph creation section 232 Fiscal Year Electricity Sales Ratio Graph Creation Department 233 Calculation result display section 240 Wind turbine pseudo-connection 241 Tidal flow calculation section 242 Power generation output control unit 243 System congestion layer creation unit 4140 Geospatial Information Authority of Japan Map Layer Database 4141 Aerial Photo Map Layer Database 4142 Various map layer databases 41500 Forest Data Database 41501 Protected Area Data Database 41502 Radar Data Database 41503 Power Line Data Database 41504 Wind Condition Data Database 41505 Building Data Database 41506 Existing Wind Turbine Data Database 41507 Elevation Data Database 41508 Topographical Data Database 41509 System Congestion Data Database 4210 Power System Configuration Information Database 4211 Generator Information Database 4212 Facility Planning Information Database 4213 Power Generation Output Information Database 4214 Demand Output Information Database 4215 Power Line Flow Information Database 4220 System Model Database 4221 Power Generation Output Forecast Database 4222 Location-specific demand forecast database 4223 Transmission Line Power Flow Prediction Database 4224 Database of predicted power output after suppression 4225 Post-restriction transmission line power flow forecast database 4230 System Utilization Rate Map Database 4231 Scenario-specific cumulative power sales ratio graph database 4232 Annual electricity sales ratio graph database 4240 System Model Database 4241 Power Generation Output Forecast Database 4242 Suppression Ratio Database 4243 System Congestion Layer Database

Claims

1. a calculation condition input unit for determining calculation conditions for evaluating an output suppression amount; a power system data storage unit that stores the power output and demand of the generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit that calculates an output suppression amount based on the data stored in the power system data storage unit; an output suppression amount display unit that displays the output suppression amount; a system congestion layer conversion unit that visualizes a system congestion state of the power system based on a utilization rate of a transmission line in the power system; A renewable energy power generator candidate site evaluation device comprising:

2. The power system data storage unit stores system configuration information, generator information, facility plan information, power generation output information, and demand output information. The renewable energy power generator candidate site evaluation device according to claim 1 .

3. The generator information includes the power source type of the generator connected to the power grid, the maximum and minimum output values, the output change rate, the operation start time and operation end time, the coefficient in the fuel cost function, the number of connected generators, the scheduled operation start date and time and the scheduled operation discharge date and time, the scheduled operation end date and time, and the connection contract information for the grid of non-firm type connection and firm type connection. The renewable energy power generator candidate site evaluation device according to claim 2 .

4. The facility planning information includes plan information for the construction and decommissioning of power transmission and transformation facilities and generators that constitute the power system. The renewable energy power generator candidate site evaluation device according to claim 2 .

5. The power generation output information stores time-series data of actual or planned output of generators of a thermal power generator, a nuclear power generator, a biomass power generator, a geothermal power generator, a hydroelectric power generator, a pumped-storage power generator, a wind power generation system, a solar power generation system, and a storage battery system. The renewable energy power generator candidate site evaluation device according to claim 2 .

6. The demand output information stores time series data of the actual power flow value of the substation and the sum of power consumption of the entire target power system. The renewable energy power generator candidate site evaluation device according to claim 2 .

7. a power generation output prediction unit that predicts the output of a power generator based on the system configuration information, the power generator information, the facility plan information, the power generation output information, and the demand output information; a location-specific demand forecasting unit that forecasts location-specific demand in the power system; a system model construction unit that constructs a power system model based on the system configuration information and the facility plan information; a power flow calculation unit for predicting the power flow rate of a transmission line; Equipped with the output suppression amount calculation unit suppresses the output of the generator so as to comply with grid constraints and supply-demand constraints. The renewable energy power generator candidate site evaluation device according to claim 2 .

8. a power generation output prediction unit that predicts the output of a power generator based on the system configuration information, the power generator information, the facility plan information, the power generation output information, and the demand output information; a location-specific demand forecasting unit that forecasts location-specific demand in the power system; a system model construction unit that constructs a power system model based on the system configuration information and the facility plan information; a power flow calculation unit for predicting the power flow rate of a transmission line; Equipped with the output suppression amount calculation unit suppresses the output of the generator to maximize the value of the generator that includes not only the operating cost but also penalties for environmental load and grid congestion; The renewable energy power generator candidate site evaluation device according to claim 2 .

9. the system congestion layer conversion unit visualizes on a map a utilization rate of power transmission and transformation facilities in the power system based on the system configuration information, the facility plan information, and the power transmission line power flow rate. The renewable energy power generator candidate site evaluation device according to claim 7 or 8.

10. a calculation condition input unit for determining calculation conditions for evaluating an output suppression amount; a power system data storage unit that stores the power output and demand of the generators that constitute the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit that calculates an output suppression amount based on the data stored in the power system data storage unit; an output suppression amount display unit that displays the output suppression amount; a system congestion layer conversion unit that visualizes a system congestion state of the power system based on a utilization rate of a transmission line in the power system; an extraction condition input unit for setting conditions for extracting candidate sites for onshore wind turbine construction; a surrounding environment input unit for selecting surrounding environments to be displayed in order to evaluate the construction candidate site; a candidate site condition data storage unit that stores the surrounding environment; a candidate site extraction unit that extracts, from a search range, a construction candidate site that satisfies the extraction conditions set in the extraction condition input unit; a layer display unit that displays the construction candidate site extracted by the candidate site extraction unit and the surrounding environment selected by the surrounding environment input unit; An onshore wind turbine candidate site evaluation device comprising:

11. The candidate site condition data storage unit stores forest data, protected area data, radar data, power line data, wind condition data, building data, existing wind turbine data, topographical data, and system congestion data. The onshore wind turbine candidate site evaluation device according to claim 10.

12. a construction feasibility determination unit that extracts possible construction sites from the search range using a model that has learned topographical information about the area surrounding the existing wind turbine; The onshore wind turbine candidate site evaluation device according to claim 11.

13. The topographical data includes points determined by the construction feasibility determination unit to be constructable. The onshore wind turbine candidate site evaluation device according to claim 12.

14. a display device that displays a map layer, a surrounding environment layer that shows the surrounding environment, a candidate site layer that shows the construction candidate site, and a result of the output suppression amount; The onshore wind turbine candidate site evaluation device according to claim 10.

15. a step in which a calculation condition input unit determines a calculation condition for evaluating an output suppression amount; a step in which a power system data storage unit stores the power generation output and demand of the generators constituting the power system and a power system model based on the calculation conditions; an output suppression amount calculation unit calculating an output suppression amount based on the data stored in the power system data storage unit; an output suppression amount display unit displaying the output suppression amount; a step of visualizing a system congestion state of the power system from a utilization rate of a transmission line in the power system by a system congestion layer conversion unit; A method for evaluating a potential site for a renewable energy power plant, comprising:

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