Energy storage site selection method for improving offshore wind power consumption capacity and related device

Abstract

The application belongs to the technical field of energy storage application in power systems, and specifically discloses an energy storage site selection method for improving offshore wind power consumption capacity and related devices, obtains power supply data, power grid data and load data, and sets energy storage system data; calculates energy storage site selection multi-index data based on the power supply data, the power grid data, the load data and the energy storage system data; calculates energy storage site selection comprehensive indexes based on the energy storage site selection multi-index data; and performs energy storage optimization configuration based on the energy storage site selection comprehensive indexes and outputs site selection results.

Description

Technical Field

[0001] This invention belongs to the field of energy storage application technology in power systems, specifically relating to an energy storage site selection method and related devices for improving the absorption capacity of offshore wind power. Background Technology

[0002] Offshore wind power is a key area for renewable energy development. The volatility and intermittency of large-scale offshore wind power output pose significant challenges to the power system's supply and demand balance, highlighting issues such as offshore wind power absorption and transmission channel congestion. Large-scale energy storage technology, characterized by rapid and precise response and bidirectional regulation, is a crucial means to improve the absorption of large-scale offshore wind power, alleviate transmission congestion, and reduce network losses. However, due to multiple constraints such as source-load distribution characteristics, power grid characteristics, and energy storage investment and construction costs, the location of energy storage systems within the power grid affects their application efficiency. In existing technologies, Lu Qiuyu et al. determined the optimal energy storage configuration capacity suitable for offshore wind power peak shaving and frequency regulation scenarios based on the overall benefits of the energy storage system; Chen Honglin et al. calculated the energy storage configuration power and capacity of offshore wind farms based on the offshore wind power output power distribution and the changes in peak shaving depth before and after wind power grid connection. Existing technologies do not fully consider the spatial and temporal characteristics of energy storage in improving offshore wind power absorption and alleviating transmission congestion, the aggregated power distribution characteristics of offshore wind farms, and power grid characteristics during the energy storage deployment process, resulting in unsatisfactory energy storage application efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide an energy storage site selection method and related apparatus to improve the absorption capacity of offshore wind power, so as to overcome the defects of the existing technology. This invention relates to the site selection of energy storage in the power grid, the power and capacity of energy storage at each site selection node, and considering the multi-functional needs of improving offshore wind power absorption and alleviating transmission congestion, it proposes a multi-index calculation method and a comprehensive index calculation method for energy storage site selection that takes into account spatial and temporal characteristics, optimizes the energy storage power and capacity configuration of each energy storage site selection node, and improves the level of offshore wind power absorption.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] The energy storage site selection method to enhance the absorption capacity of offshore wind power includes the following steps:

[0006] Acquire power supply data, grid data, and load data, and set energy storage system data;

[0007] Calculate multiple indicators for energy storage site selection based on power source data, power grid data, load data, and energy storage system data;

[0008] Calculate comprehensive energy storage site selection indicators based on multi-indicator data;

[0009] Energy storage is optimized and configured based on comprehensive energy storage site selection indicators, and the site selection results are output.

[0010] Furthermore, the power data includes the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms; the grid connection node number, installed capacity and output range of thermal and nuclear power sources; the grid connection node number and annual output time series data of hydropower stations; and the grid connection node number and installed capacity of pumped storage power stations.

[0011] The power grid data includes parameter data for transmission lines, power transformers, and parallel / series capacitors, bus names and node numbers, the relationship between nodes and branches, and the boundary values ​​of transmission line load rates.

[0012] The load data includes the load grid connection node number and the annual time-series data of the load demand of each grid connection node;

[0013] The energy storage system data includes the energy storage system's configured power and configured capacity.

[0014] Furthermore, the multi-indicator data for energy storage site selection includes indicators for improving offshore wind power absorption capacity and indicators for mitigating transmission congestion.

[0015] Furthermore, the calculation method for the index of improving offshore wind power absorption capacity is as follows:

[0016] 1) Based on the time series data of aggregated power curtailment from offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows:

[0017]

[0018] In the formula: G represents the change in active power flow in branch k caused by the full absorption of the curtailed power from the offshore wind farm at time t. k-n Let n be the power transfer distribution factor of the injected power of the grid-connected node n to the power flow of the branch k. Let be the power curtailed at grid-connected node n at time t, where grid-connected node n is the grid-connected node of the offshore wind farm. otherwise Let N be the aggregated power output and curtailed power of the offshore wind farm at grid-connected node n at time t; N is the number of grid nodes; and T is the termination time.

[0019] 2) Based on the correlation between power grid nodes and branches, calculate the time series data of power flow change indicators of power grid node-related branches. The calculation formula is as follows:

[0020]

[0021] Where: ΔP i tFor time t, the time series data of the power flow change index of the associated branch of the power grid node i is given.

[0022] 3) Divide the time-series data of power flow change indicators of power grid nodes into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals N. Q,i and the average duration Calculate the average power in the non-zero range This leads to the index F that improves the offshore wind power absorption capacity of node i. i ;

[0023]

[0024] 4) Calculate the index F for improving offshore wind power absorption capacity;

[0025] F = [F1 F2…F] i …F N ].

[0026] Furthermore, the aggregated power curtailment time series data of the offshore wind farm is equal to the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of the offshore wind farm;

[0027] The calculation of the aggregated theoretical output time series data of offshore wind farms is specifically as follows: based on the wind speed time series data of each offshore wind farm, the theoretical output time series data of each offshore wind farm is calculated; taking the grid-connected node of the offshore wind farm as the benchmark, the aggregated theoretical output time series data of the offshore wind farm at each grid-connected node is summed.

[0028] The calculation of the aggregated actual power output time series data of the offshore wind farm is specifically as follows: taking the grid-connected nodes of the offshore wind farm as the benchmark, summing the aggregated actual power output time series data of the offshore wind farm at each grid-connected node.

[0029] Furthermore, the method for calculating the transmission congestion mitigation index is as follows:

[0030] 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. Set the branch load rate status parameter at time t that is greater than the transmission line load rate boundary value to 1, otherwise set it to 0;

[0031] 2) Calculate the partial derivative of the load rate of branch k with respect to the injected power at node i at time t.

[0032] 3) Calculate the change in system load rate level caused by the injected power at node i.

[0033]

[0034] In the formula, Let be the operating status parameter of the energy storage system at node i at time t;

[0035] The specific method for setting the operating status parameters of the energy storage system is as follows: based on the node injection power change ΔP i t The zero and non-zero values ​​are used to set the operating status parameter value of the energy storage system in the zero value range to -1 and the operating status parameter value of the energy storage system in the non-zero value range to 1.

[0036] 4) Based on the positive, zero, and negative values ​​of the change in system load rate level caused by the injected power at node i, divide the time series data of the change in system load rate level into negative and non-negative intervals according to the time series, and calculate the average value of the change in system load rate level in the negative interval. With interval number N L,i The transmission congestion mitigation index L at node i is obtained. i ;

[0037]

[0038] 5) Forming a transmission resistance congestion index L;

[0039] L = [L1 L2…L] i …L N ].

[0040] Furthermore, the calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion.

[0041] The weighting value ω of the index for improving offshore wind power absorption capacity F The calculation method is as follows:

[0042]

[0043] In the formula, γ WF,n Let be the feed-in tariff for offshore wind farm n, and Δt be the sampling time interval;

[0044] The weight ω of the transmission congestion mitigation index L The calculation method is as follows:

[0045]

[0046] In the formula, C k Y is the investment cost of branch line k; Y is the design service life of the transmission line; P k t Let k be the transmission power of branch k at time t;

[0047] The calculation method for the comprehensive index of energy storage site selection is as follows:

[0048] R = ω F F+ω L L

[0049] In the formula, R is the comprehensive index for energy storage site selection; F is the index for improving the absorption capacity of offshore wind power; and L is the index for mitigating transmission congestion.

[0050] Furthermore, the energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration;

[0051] The energy storage power optimization configuration specifically involves optimizing the power of the energy storage power station from high to low based on the comprehensive energy storage site selection index. Until and Nth e The power of an energy storage power station

[0052] Among them, P ess Configure power for the energy storage system, N e P represents the number of energy storage site selection nodes. ess,i Let be the power of the energy storage power station at node i;

[0053] The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows:

[0054] E ess,i =ω ess,i E ess

[0055] In the formula, ω ess,i E is the capacity configuration factor for node i. ess Configure capacity for energy storage systems;

[0056] The capacity configuration factor is calculated using the following formula:

[0057]

[0058] Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. Based on the optimized configuration of energy storage power and energy storage capacity, the power configuration and capacity configuration of the energy storage location nodes are realized.

[0059] The site selection result is the energy storage site selection node after power configuration and capacity configuration.

[0060] Energy storage site selection systems to enhance offshore wind power integration capacity include:

[0061] Data acquisition module: used to acquire power supply data, grid data, and load data, and to set energy storage system data;

[0062] The first calculation module is used to calculate multiple indicators for energy storage site selection based on power source data, grid data, load data, and energy storage system data.

[0063] The second calculation module calculates the comprehensive index of energy storage site selection based on multi-index data.

[0064] Optimization Configuration Module: Based on comprehensive energy storage site selection indicators, optimize energy storage configuration and output site selection results.

[0065] Furthermore, in the data acquisition module, the power data includes the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms; the grid connection node number, installed capacity and output range of thermal power and nuclear power sources; the grid connection node number and annual output time series data of hydropower stations; and the grid connection node number and installed capacity of pumped storage power stations.

[0066] The power grid data includes parameter data for transmission lines, power transformers, and parallel / series capacitors, bus names and node numbers, the relationship between nodes and branches, and the boundary values ​​of transmission line load rates.

[0067] The load data includes the load grid connection node number and the annual time-series data of the load demand of each grid connection node;

[0068] The energy storage system data includes the energy storage system's configured power and configured capacity.

[0069] Furthermore, the multi-indicator data for energy storage site selection includes indicators for improving offshore wind power absorption capacity and indicators for mitigating transmission congestion;

[0070] The calculation method for the index of improving offshore wind power absorption capacity is as follows:

[0071] 1) Based on the time series data of aggregated power curtailment from offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows:

[0072]

[0073] In the formula: G represents the change in active power flow in branch k caused by the full absorption of the curtailed power from the offshore wind farm at time t. k-n Let n be the power transfer distribution factor of the injected power of the grid-connected node n to the power flow of the branch k. Let be the power curtailed at grid-connected node n at time t, where grid-connected node n is the grid-connected node of the offshore wind farm. otherwise Let N be the aggregated power output and curtailed power of the offshore wind farm at grid-connected node n at time t; N is the number of grid nodes; and T is the termination time.

[0074] 2) Based on the correlation between power grid nodes and branches, calculate the time series data of power flow change indicators of power grid node-related branches. The calculation formula is as follows:

[0075]

[0076] Where: ΔP i t For time t, the time series data of the power flow change index of the associated branch of the power grid node i is given.

[0077] 3) Divide the time-series data of power flow change indicators of power grid nodes into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals N. Q,i and the average duration Calculate the average power in the non-zero range This leads to the index F that improves the offshore wind power absorption capacity of node i. i ;

[0078]

[0079] 4) Calculate the index F for improving offshore wind power absorption capacity;

[0080] F = [F1 F2…F] i …F N ]

[0081] The aggregated power output curtailment time series data of offshore wind farms is equal to the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of offshore wind farms;

[0082] The calculation of the aggregated theoretical output time series data of offshore wind farms is specifically as follows: based on the wind speed time series data of each offshore wind farm, the theoretical output time series data of each offshore wind farm is calculated; taking the grid-connected node of the offshore wind farm as the benchmark, the aggregated theoretical output time series data of the offshore wind farm at each grid-connected node is summed.

[0083] The calculation of the aggregated actual power output time series data of the offshore wind farm is specifically as follows: taking the grid-connected nodes of the offshore wind farm as the benchmark, summing the aggregated actual power output time series data of the offshore wind farm at each grid-connected node;

[0084] The method for calculating the transmission congestion mitigation index is as follows:

[0085] 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. Set the branch load rate status parameter at time t that is greater than the transmission line load rate boundary value to 1, otherwise set it to 0;

[0086] 2) Calculate the partial derivative of the load rate of branch k with respect to the injected power at node i at time t.

[0087] 3) Calculate the change in system load rate level caused by the injected power at node i.

[0088]

[0089] In the formula, Let be the operating status parameter of the energy storage system at node i at time t;

[0090] The specific method for setting the operating status parameters of the energy storage system is as follows: based on the node injection power change ΔP i t The zero and non-zero values ​​are used to set the operating status parameter value of the energy storage system in the zero value range to -1 and the operating status parameter value of the energy storage system in the non-zero value range to 1.

[0091] 4) Based on the positive, zero, and negative values ​​of the change in system load rate level caused by the injected power at node i, divide the time series data of the change in system load rate level into negative and non-negative intervals according to the time series, and calculate the average value of the change in system load rate level in the negative interval. With interval number N L,i The transmission congestion mitigation index L at node i is obtained. i ;

[0092]

[0093] 5) Forming a transmission resistance congestion index L;

[0094] L = [L1 L2…L] i …L N ].

[0095] Furthermore, the calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion.

[0096] The weighting value ω of the index for improving offshore wind power absorption capacity F The calculation method is as follows:

[0097]

[0098] In the formula, γ WF,n Let be the feed-in tariff for offshore wind farm n, and Δt be the sampling time interval;

[0099] The weight ω of the transmission congestion mitigation indexL The calculation method is as follows:

[0100]

[0101] In the formula, C k Y represents the investment cost of branch k; Y represents the design service life of the transmission line. Let k be the transmission power of branch k at time t;

[0102] The calculation method for the comprehensive index of energy storage site selection is as follows:

[0103] R = ω F F+ω L L

[0104] In the formula, R is the comprehensive index for energy storage site selection; F is the index for improving the absorption capacity of offshore wind power; and L is the index for mitigating transmission congestion.

[0105] Furthermore, the energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration;

[0106] The energy storage power optimization configuration specifically involves optimizing the power of the energy storage power station from high to low based on the comprehensive energy storage site selection index. Until and Nth e The power of an energy storage power station

[0107] Among them, P ess Configure power for the energy storage system, N e P represents the number of energy storage site selection nodes. ess,i Let be the power of the energy storage power station at node i;

[0108] The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows:

[0109] E ess,i =ω ess,i E ess

[0110] In the formula, ω ess,i E is the capacity configuration factor for node i. ess Configure capacity for energy storage systems;

[0111] The capacity configuration factor is calculated using the following formula:

[0112]

[0113] Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. Based on the optimized configuration of energy storage power and energy storage capacity, the power configuration and capacity configuration of the energy storage location nodes are realized.

[0114] The site selection result is the energy storage site selection node after power configuration and capacity configuration.

[0115] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the energy storage site selection method for enhancing offshore wind power absorption capacity.

[0116] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the energy storage site selection method for enhancing offshore wind power absorption capacity.

[0117] Compared with the prior art, the present invention has the following beneficial technical effects:

[0118] This invention addresses power systems with large-scale offshore wind power integration, aiming to improve offshore wind power absorption capacity and alleviate transmission congestion. It proposes an energy storage site selection method that considers enhancing offshore wind power absorption capacity. Based on loaded and configured energy storage layout data for improving offshore wind power absorption capacity, this invention calculates aggregated output curtailment time-series data from offshore wind farms, multiple energy storage site selection indicators, and comprehensive energy storage site selection indicators to optimize energy storage configuration and output layout results.

[0119] Based on the spatial and temporal characteristics of multiple functional application indicators of energy storage, this paper proposes a method to improve the offshore wind power absorption capacity and reduce transmission congestion indicators by taking into account the time series data of the aggregated output curtailment of offshore wind farms at each grid-connected node. By comprehensively considering multiple factors such as the aggregated power distribution characteristics of offshore wind farms and the characteristics of the power grid, the paper realizes the site selection and power and capacity optimization configuration of energy storage in the power grid, thereby improving the offshore wind power absorption level. Attached Figure Description

[0120] The accompanying drawings are provided to further understand the invention and constitute a part of this invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0121] Figure 1 This is a schematic diagram of the energy storage site selection method for improving the absorption capacity of offshore wind power according to the present invention;

[0122] Figure 2 This is a schematic diagram of the energy storage site selection system for improving the absorption capacity of offshore wind power according to the present invention. Detailed Implementation

[0123] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0124] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0125] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0126] Example 1

[0127] This invention provides a method for energy storage site selection to enhance the absorption capacity of offshore wind power, such as... Figure 1 As shown, firstly, the energy storage layout data for improving the offshore wind power absorption capacity is loaded and set; secondly, the multi-indicator data for energy storage site selection is calculated; then, the comprehensive index for energy storage site selection is calculated; finally, the energy storage is optimized and the site selection results are output.

[0128] Step 1: Loading and setting up energy storage layout data to enhance offshore wind power absorption capacity

[0129] The data loading and setting for improving the energy storage layout to enhance offshore wind power absorption capacity includes, but is not limited to, loading various types of power source data, grid data, load data, and setting energy storage system data.

[0130] The various types of power source data include, but are not limited to, the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms, the grid connection node number, installed capacity, and output range of thermal power, nuclear power and other power sources, the grid connection node number and annual output time series data of hydropower stations, and the grid connection node number and installed capacity of pumped storage power plants.

[0131] The power grid data includes, but is not limited to, parameter data of components such as transmission lines, power transformers, and parallel (series) capacitors, bus names and node numbers, the relationship between nodes and branches, and boundary values ​​of transmission line load rates.

[0132] The load data includes, but is not limited to, the load grid connection node number and the annual time-series data of the load demand of each grid connection node.

[0133] The energy storage system data includes, but is not limited to, the energy storage system's configured power and configured capacity.

[0134] Step 2: Calculation of multiple indicators for energy storage site selection

[0135] The energy storage site selection criteria include, but are not limited to, improving the absorption capacity of offshore wind power and mitigating transmission congestion.

[0136] The calculation method for the multiple indicators of energy storage site selection is as follows: the characteristic intervals of each node are divided according to the time series (such as the non-zero value interval and zero value interval of the indicator for improving the offshore wind power absorption capacity), and the parameter information of the characteristic intervals (such as the number of non-zero value intervals of the indicator for improving the offshore wind power absorption capacity and the average power of the non-zero value interval) are statistically analyzed to obtain the multiple indicator data of energy storage site selection for each node.

[0137] The method for calculating the index of improving offshore wind power absorption capacity:

[0138] 1) Based on the time series data of aggregated power curtailment from offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows:

[0139]

[0140] In the formula: G represents the change in active power flow in branch k caused by the full absorption of the curtailed power from the offshore wind farm at time t. k-n Let n be the power transfer distribution factor of the injected power of the grid-connected node n to the power flow of the branch k. Let be the power curtailed at grid-connected node n at time t, where grid-connected node n is the grid-connected node of the offshore wind farm. otherwise Let N be the aggregated power output of the offshore wind farm at grid-connected node n at time t; N is the number of grid nodes; and T is the termination time.

[0141] 2) Based on the correlation between branches of power grid nodes, calculate the power flow change index of the associated branches of power grid nodes. The calculation formula is as follows:

[0142]

[0143] Where: ΔP i tLet t be the power flow change index value of the associated branch at power grid node i.

[0144] 3) Divide the time-series data of the power flow change indicators of the node-related branches into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals N. Q,i and the average duration Calculate the average power in the non-zero range This leads to the index F that improves the offshore wind power absorption capacity of node i. i ;

[0145]

[0146] 4) Develop an index F to enhance the absorption capacity of offshore wind power;

[0147] F = [F1 F2…F] i …F N ]

[0148] The calculation method for the aggregated power curtailment time series data of offshore wind farms is as follows: the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of offshore wind farms.

[0149] The method for calculating the aggregated theoretical power output time-series data of offshore wind farms is as follows: Based on the wind speed time-series data of each offshore wind farm, the theoretical power output time-series data of each offshore wind farm is calculated; taking the grid-connected nodes of the offshore wind farms as the benchmark, the aggregated theoretical power output time-series data of each grid-connected node is summed. The method for calculating the aggregated actual power output time-series data of offshore wind farms is as follows: Taking the grid-connected nodes of the offshore wind farms as the benchmark, the aggregated actual power output time-series data of each grid-connected node is summed.

[0150] The method for calculating the transmission congestion mitigation index:

[0151] 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. Set the branch load rate status parameter at time t that is greater than the transmission line load rate boundary value to 1, otherwise set it to 0;

[0152] 2) Calculate the partial derivative of the load rate of branch k with respect to the injected power at node i at time t.

[0153] 3) Calculate the change in system load rate level caused by the injected power at node i.

[0154]

[0155] In the formula, Let be the operating status parameter of the energy storage system at node i at time t.

[0156] The method for setting the operating status parameters of the energy storage system is based on the node injection power change ΔP. i t The zero and non-zero values ​​are used to determine the operating status parameter values ​​of the energy storage system. The zero value range is set to -1, and the non-zero value range is set to 1.

[0157] 4) Based on the positive, zero, and negative values ​​of the change in system load rate level caused by the injected power at node i, divide the time series data of the change in system load rate level into negative and non-negative intervals according to the time series, and calculate the average value of the change in system load rate level in the negative interval. With interval number N L,i The transmission congestion mitigation index L at node i is obtained. i ;

[0158]

[0159] 5) Forming a transmission resistance congestion index L;

[0160] L = [L1 L2…L] i …L N ]

[0161] Step 3: Calculation of Comprehensive Indicators for Energy Storage Site Selection

[0162] The calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion.

[0163] Weighting ω of the index for improving offshore wind power absorption capacity F Calculation method:

[0164]

[0165] In the formula, γ WF,n Let be the feed-in tariff for offshore wind farm n, and Δt be the sampling time interval;

[0166] Weight ω of transmission congestion mitigation index L Calculation method:

[0167]

[0168] In the formula, C k Y represents the investment cost of branch k; Y represents the design service life of the transmission line. Let be the transmission power of branch k at time t.

[0169] The calculation method for the comprehensive index of energy storage site selection is as follows:

[0170] R = ωF F+ω L L

[0171] In the formula, R is the comprehensive index for energy storage site selection; F is the index for improving the absorption capacity of offshore wind power; and L is the index for mitigating transmission congestion.

[0172] Step 4: Optimize energy storage configuration and output site selection results

[0173] The energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration.

[0174] The energy storage power optimization configuration method optimizes the power of energy storage power stations from high to low based on the comprehensive index value of energy storage site selection. Until and Nth e The power of an energy storage power station

[0175] Among them, P ess Configure power for the energy storage system, N e P represents the number of energy storage site selection nodes. ess,i Let be the power of the energy storage power station at node i.

[0176] The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows:

[0177] E ess,i =ω ess,i E ess

[0178] In the formula, ω ess,i E is the capacity configuration factor for node i. ess Configure capacity for the energy storage system.

[0179] The capacity configuration factor is calculated using the following formula:

[0180]

[0181] Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. The power configuration and capacity configuration of the energy storage location nodes are realized based on the energy storage power optimization configuration and energy storage capacity optimization configuration methods.

[0182] The site selection result is the energy storage site selection node after power configuration and capacity configuration.

[0183] Example 2

[0184] This invention also provides an energy storage site selection system to enhance the absorption capacity of offshore wind power, such as... Figure 2 As shown, it includes:

[0185] Data acquisition module: used to acquire power source data, grid data, and load data, and to set energy storage system data; the power source data includes the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms; the grid connection node number, installed capacity and output range of thermal power and nuclear power sources; the grid connection node number, annual output time series data of hydropower stations, and the grid connection node number and installed capacity of pumped storage power stations.

[0186] The power grid data includes parameter data for transmission lines, power transformers, and parallel / series capacitors, bus names and node numbers, the relationship between nodes and branches, and the boundary values ​​of transmission line load rates.

[0187] The load data includes the load grid connection node number and the annual time-series data of the load demand of each grid connection node;

[0188] The energy storage system data includes the energy storage system's configured power and configured capacity.

[0189] The first calculation module is used to calculate multiple indicators for energy storage site selection based on power source data, grid data, load data, and energy storage system data.

[0190] The energy storage site selection data includes indicators for improving offshore wind power absorption capacity and mitigating transmission congestion.

[0191] The calculation method for the index of improving offshore wind power absorption capacity is as follows:

[0192] 1) Based on the time series data of aggregated power curtailment from offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows:

[0193]

[0194] In the formula: G represents the change in active power flow in branch k caused by the full absorption of the curtailed power from the offshore wind farm at time t. k-n Let n be the power transfer distribution factor of the injected power of the grid-connected node n to the power flow of the branch k. Let be the power curtailed at grid-connected node n at time t, where grid-connected node n is the grid-connected node of the offshore wind farm. otherwise Let N be the aggregated power output and curtailed power of the offshore wind farm at grid-connected node n at time t; N is the number of grid nodes; and T is the termination time.

[0195] 2) Based on the correlation between power grid nodes and branches, calculate the time series data of power flow change indicators of power grid node-related branches. The calculation formula is as follows:

[0196]

[0197] Where: ΔP i t For time t, the time series data of the power flow change index of the associated branch of the power grid node i is given.

[0198] 3) Divide the time-series data of power flow change indicators of power grid nodes into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals N. Q,i and the average duration Calculate the average power in the non-zero range This leads to the index F that improves the offshore wind power absorption capacity of node i. i ;

[0199]

[0200] 4) Calculate the index F for improving offshore wind power absorption capacity;

[0201] F = [F1 F2…F] i …F N ]

[0202] The aggregated power output curtailment time series data of offshore wind farms is equal to the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of offshore wind farms;

[0203] The calculation of the aggregated theoretical output time series data of offshore wind farms is specifically as follows: based on the wind speed time series data of each offshore wind farm, the theoretical output time series data of each offshore wind farm is calculated; taking the grid-connected node of the offshore wind farm as the benchmark, the aggregated theoretical output time series data of the offshore wind farm at each grid-connected node is summed.

[0204] The calculation of the aggregated actual power output time series data of the offshore wind farm is specifically as follows: taking the grid-connected nodes of the offshore wind farm as the benchmark, summing the aggregated actual power output time series data of the offshore wind farm at each grid-connected node;

[0205] The method for calculating the transmission congestion mitigation index is as follows:

[0206] 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. Set the branch load rate status parameter at time t that is greater than the transmission line load rate boundary value to 1, otherwise set it to 0;

[0207] 2) Calculate the partial derivative of the load rate of branch k with respect to the injected power at node i at time t.

[0208] 3) Calculate the change in system load rate level caused by the injected power at node i.

[0209]

[0210] In the formula, Let be the operating status parameter of the energy storage system at node i at time t;

[0211] The specific method for setting the operating status parameters of the energy storage system is as follows: based on the node injection power change ΔP i t The zero and non-zero values ​​are used to set the operating status parameter value of the energy storage system in the zero value range to -1 and the operating status parameter value of the energy storage system in the non-zero value range to 1.

[0212] 4) Based on the positive, zero, and negative values ​​of the change in system load rate level caused by the injected power at node i, divide the time series data of the change in system load rate level into negative and non-negative intervals according to the time series, and calculate the average value of the change in system load rate level in the negative interval. With interval number N L,i The transmission congestion mitigation index L at node i is obtained. i ;

[0213]

[0214] 5) Forming a transmission resistance congestion index L;

[0215] L = [L1 L2…L] i …L N ].

[0216] The second calculation module calculates the comprehensive index of energy storage site selection based on multi-index data.

[0217] The calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion.

[0218] The weighting value ω of the index for improving offshore wind power absorption capacity F The calculation method is as follows:

[0219]

[0220] In the formula, γ WF,n Let be the feed-in tariff for offshore wind farm n, and Δt be the sampling time interval;

[0221] The weight ω of the transmission congestion mitigation index L The calculation method is as follows:

[0222]

[0223] In the formula, C kY represents the investment cost of branch k; Y represents the design service life of the transmission line. Let k be the transmission power of branch k at time t;

[0224] The calculation method for the comprehensive index of energy storage site selection is as follows:

[0225] R = ω F F+ω L L

[0226] In the formula, R is the comprehensive index for energy storage site selection; F is the index for improving the absorption capacity of offshore wind power; and L is the index for mitigating transmission congestion.

[0227] Optimization configuration module: Optimizes energy storage configuration based on comprehensive energy storage site selection indicators and outputs the site selection results;

[0228] The energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration;

[0229] The energy storage power optimization configuration specifically involves optimizing the power of the energy storage power station from high to low based on the comprehensive energy storage site selection index. Until and Nth e The power of an energy storage power station

[0230] Among them, P ess Configure power for the energy storage system, N e P represents the number of energy storage site selection nodes. ess,i Let be the power of the energy storage power station at node i;

[0231] The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows:

[0232] E ess,i =ω ess,i E ess

[0233] In the formula, ω ess,i E is the capacity configuration factor for node i. ess Configure capacity for energy storage systems;

[0234] The capacity configuration factor is calculated using the following formula:

[0235]

[0236] Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. Based on the optimized configuration of energy storage power and energy storage capacity, the power configuration and capacity configuration of the energy storage location nodes are realized.

[0237] The site selection result is the energy storage site selection node after power configuration and capacity configuration.

[0238] Example 3

[0239] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the energy storage site selection method for improving offshore wind power absorption capacity.

[0240] Example 4

[0241] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the energy storage site selection method for improving the absorption capacity of offshore wind power.

[0242] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0243] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0244] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0245] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0246] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the invention.

Claims

1. A method for selecting energy storage sites to enhance the absorption capacity of offshore wind power, characterized in that, Includes the following steps: Acquire power supply data, grid data, and load data, and set energy storage system data; Calculate multiple indicators for energy storage site selection based on power source data, power grid data, load data, and energy storage system data; Calculate comprehensive energy storage site selection indicators based on multi-indicator data; Optimize energy storage configuration based on comprehensive energy storage site selection indicators and output site selection results; The energy storage site selection data includes indicators for improving offshore wind power absorption capacity and mitigating transmission congestion. The calculation method for the index of improving offshore wind power absorption capacity is as follows: 1) Based on the aggregated power curtailment time series data of offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows: In the formula: For a moment Branch lines resulting from the full absorption of curtailed power from offshore wind farms Changes in active power flow; For grid connection nodes Injected power for branch The distribution factor of tidal current transfer; For a moment Grid connection node The amount of abandoned power, of which, grid-connected nodes When serving as a grid connection node for offshore wind farms, ,otherwise ; For a moment Grid connection node The aggregated power output and curtailed power of offshore wind farms; N is the number of grid nodes; T is the termination time; 2) Based on the correlation between power grid nodes and branches, calculate the time series data of power flow change indicators of power grid node-related branches. The calculation formula is as follows: In the formula: For a moment Grid nodes Time series data of power flow change indicators in related branches; 3) Divide the time-series data of power flow change indicators of power grid nodes into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals. and the average duration Calculate the average power in the non-zero interval. = × Thus, the nodes are obtained. Indicators for improving offshore wind power absorption capacity ; 4) Calculate indicators to improve offshore wind power absorption capacity ; The method for calculating the transmission congestion mitigation index is as follows: 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. , will be the moment The branch load rate status parameter is set to 1 if the branch load rate is greater than the transmission line load rate boundary value, otherwise it is set to 0. 2) Calculate the time branch road Load rate for nodes Partial derivative of injected power ; 3) Computation nodes Change in system load rate level due to injected power ; In the formula, For a moment node Operating status parameters of the energy storage system; The specific method for setting the operating status parameters of the energy storage system is as follows: based on the change in node injected power. The zero and non-zero values ​​are used to set the operating status parameter value of the energy storage system in the zero value range to -1 and the operating status parameter value of the energy storage system in the non-zero value range to 1. 4) Based on nodes The positive, zero, and negative values ​​of the change in system load rate level caused by injected power are identified. The time-series data of the change in system load rate level is divided into negative and non-negative intervals according to the time series, and the mean change in system load rate level in the negative interval is calculated. Interval numbers , obtain node Reduce transmission congestion index ; 5) Forming indicators to mitigate transmission congestion ; 。 2. The energy storage site selection method for improving offshore wind power absorption capacity according to claim 1, characterized in that, The power data includes the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms; the grid connection node number, installed capacity and output range of thermal and nuclear power sources; the grid connection node number, annual output time series data of hydropower stations; and the grid connection node number and installed capacity of pumped storage power stations. The power grid data includes parameter data for transmission lines, power transformers, and parallel / series capacitors, bus names and node numbers, the relationship between nodes and branches, and the boundary values ​​of transmission line load rates. The load data includes the load grid connection node number and the annual time-series data of the load demand of each grid connection node; The energy storage system data includes the energy storage system's configured power and configured capacity.

3. The energy storage site selection method for enhancing offshore wind power absorption capacity according to claim 1, characterized in that, The aggregated power output curtailment time series data of offshore wind farms is equal to the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of offshore wind farms; The calculation of the aggregated theoretical output time series data of offshore wind farms is specifically as follows: based on the wind speed time series data of each offshore wind farm, the theoretical output time series data of each offshore wind farm is calculated. Using the grid-connected nodes of offshore wind farms as a benchmark, the aggregated theoretical output time series data of offshore wind farms at each grid-connected node are summed and calculated. The calculation of the aggregated actual power output time series data of the offshore wind farm is specifically as follows: taking the grid-connected nodes of the offshore wind farm as the benchmark, summing the aggregated actual power output time series data of the offshore wind farm at each grid-connected node.

4. The energy storage site selection method for improving offshore wind power absorption capacity according to claim 1, characterized in that, The calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion. The weighting of the index for improving offshore wind power absorption capacity The calculation method is as follows: In the formula, For offshore wind farms The on-grid electricity price The sampling time interval; The weighting of the transmission congestion mitigation index The calculation method is as follows: In the formula, branch road Investment costs; Design service life of transmission lines; For a moment branch road The transmission power; The calculation method for the comprehensive index of energy storage site selection is as follows: In the formula, Comprehensive indicators for energy storage site selection; To improve the offshore wind power absorption capacity index; To alleviate transmission congestion.

5. The energy storage site selection method for improving offshore wind power absorption capacity according to claim 1, characterized in that, The energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration; The energy storage power optimization configuration specifically involves optimizing the power of energy storage power stations from high to low based on comprehensive energy storage site selection indicators. until , No. The power of an energy storage power station ; in, P ess Configure power for energy storage systems, The number of energy storage site selection nodes; For nodes The power of the energy storage power station; The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows: In the formula, For nodes Capacity configuration factor; Configure capacity for energy storage systems; The formula for calculating the capacity allocation factor is as follows: Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. Based on the optimized configuration of energy storage power and energy storage capacity, the power configuration and capacity configuration of the energy storage location nodes are realized. The site selection result is the energy storage site selection node after power configuration and capacity configuration.

6. An energy storage site selection system for enhancing offshore wind power absorption capacity, characterized in that, include: Data acquisition module: used to acquire power supply data, grid data, and load data, and to set energy storage system data; The first calculation module is used to calculate multiple indicators for energy storage site selection based on power source data, grid data, load data, and energy storage system data. The second calculation module calculates the comprehensive index of energy storage site selection based on multi-index data. Optimization configuration module: Optimizes energy storage configuration based on comprehensive energy storage site selection indicators and outputs the site selection results; The energy storage site selection data includes indicators for improving offshore wind power absorption capacity and mitigating transmission congestion. The calculation method for the index of improving offshore wind power absorption capacity is as follows: 1) Based on the aggregated power curtailment time series data of offshore wind farms, calculate the time series data of active power flow changes in branch lines. The calculation formula is as follows: In the formula: For a moment Branch lines resulting from the full absorption of curtailed power from offshore wind farms Changes in active power flow; For grid connection nodes Injected power for branch The distribution factor of tidal current transfer; For a moment Grid connection node The amount of abandoned power, of which, grid-connected nodes When serving as a grid connection node for offshore wind farms, ,otherwise ; For a moment Grid connection node The aggregated power output and curtailed power of offshore wind farms; N is the number of grid nodes; T is the termination time; 2) Based on the correlation between power grid nodes and branches, calculate the time series data of power flow change indicators of power grid node-related branches. The calculation formula is as follows: In the formula: For a moment Grid nodes Time series data of power flow change indicators in related branches; 3) Divide the time-series data of power flow change indicators of power grid nodes into non-zero value intervals and zero value intervals according to the time series, and count the number of non-zero value intervals. and the average duration Calculate the average power in the non-zero interval. = × Thus, the nodes are obtained. Indicators for improving offshore wind power absorption capacity ; 4) Calculate indicators to improve offshore wind power absorption capacity ; The aggregated power output curtailment time series data of offshore wind farms is equal to the difference between the aggregated theoretical power output time series data and the aggregated actual power output time series data of offshore wind farms; The calculation of the aggregated theoretical output time series data of offshore wind farms is specifically as follows: based on the wind speed time series data of each offshore wind farm, the theoretical output time series data of each offshore wind farm is calculated; taking the grid-connected node of the offshore wind farm as the benchmark, the aggregated theoretical output time series data of the offshore wind farm at each grid-connected node is summed. The calculation of the aggregated actual power output time series data of the offshore wind farm is specifically as follows: taking the grid-connected nodes of the offshore wind farm as the benchmark, summing the aggregated actual power output time series data of the offshore wind farm at each grid-connected node; The method for calculating the transmission congestion mitigation index is as follows: 1) Set the load rate status parameters for each branch based on the load rate boundary values ​​of the transmission lines. , will be the moment The branch load rate status parameter is set to 1 if the branch load rate is greater than the transmission line load rate boundary value, otherwise it is set to 0. 2) Calculate the time branch road Load rate for nodes Partial derivative of injected power ; 3) Computation nodes Change in system load rate level due to injected power ; In the formula, For a moment node Operating status parameters of the energy storage system; The specific method for setting the operating status parameters of the energy storage system is as follows: based on the change in node injected power. The zero and non-zero values ​​are used to set the operating status parameter value of the energy storage system in the zero value range to -1 and the operating status parameter value of the energy storage system in the non-zero value range to 1. 4) Based on nodes The positive, zero, and negative values ​​of the change in system load rate level caused by injected power are identified. The time-series data of the change in system load rate level is divided into negative and non-negative intervals according to the time series, and the mean change in system load rate level in the negative interval is calculated. Interval numbers , obtain node Reduce transmission congestion index ; 5) Forming indicators to mitigate transmission congestion ; 。 7. The energy storage site selection system for enhancing offshore wind power absorption capacity according to claim 6, characterized in that, In the data acquisition module, the power data includes the grid connection node number, installed capacity, annual wind speed and output time series data of offshore wind farms; the grid connection node number, installed capacity and output range of thermal power and nuclear power sources; the grid connection node number, annual output time series data of hydropower stations; and the grid connection node number and installed capacity of pumped storage power stations. The power grid data includes parameter data for transmission lines, power transformers, and parallel / series capacitors, bus names and node numbers, the relationship between nodes and branches, and the boundary values ​​of transmission line load rates. The load data includes the load grid connection node number and the annual time-series data of the load demand of each grid connection node; The energy storage system data includes the energy storage system's configured power and configured capacity.

8. The energy storage site selection system for enhancing offshore wind power absorption capacity according to claim 6, characterized in that, The calculation method of the comprehensive energy storage site selection index is as follows: calculate the weight of the index for improving offshore wind power absorption capacity and the weight of the index for mitigating transmission congestion, and obtain the comprehensive energy storage site selection index by weighted summation of the weight of the index for improving offshore wind power absorption capacity and the index for mitigating transmission congestion. The weighting of the index for improving offshore wind power absorption capacity The calculation method is as follows: In the formula, For offshore wind farms The on-grid electricity price The sampling time interval; The weighting of the transmission congestion mitigation index The calculation method is as follows: In the formula, branch road Investment costs; Design service life of transmission lines; For a moment branch road The transmission power; The calculation method for the comprehensive index of energy storage site selection is as follows: In the formula, Comprehensive indicators for energy storage site selection; To improve the offshore wind power absorption capacity index; To alleviate transmission congestion.

9. The energy storage site selection system for enhancing offshore wind power absorption capacity according to claim 6, characterized in that, The energy storage optimization configuration includes energy storage power optimization configuration and energy storage capacity optimization configuration; The energy storage power optimization configuration specifically involves optimizing the power of energy storage power stations from high to low based on comprehensive energy storage site selection indicators. until , No. The power of an energy storage power station ; in, P ess Configure power for energy storage systems, The number of energy storage site selection nodes; For nodes The power of the energy storage power station; The energy storage capacity optimization configuration specifically involves calculating the energy storage capacity of each node based on the capacity configuration factor of each node and the energy storage system configuration capacity. The calculation formula is as follows: In the formula, For nodes Capacity configuration factor; Configure capacity for energy storage systems; The formula for calculating the capacity allocation factor is as follows: Based on the comprehensive index value of energy storage location, the energy storage location nodes are sorted from high to low to obtain the energy storage location nodes. Based on the optimized configuration of energy storage power and energy storage capacity, the power configuration and capacity configuration of the energy storage location nodes are realized. The site selection result is the energy storage site selection node after power configuration and capacity configuration.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the energy storage site selection method for improving the absorption capacity of offshore wind power as described in any one of claims 1 to 5.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the energy storage site selection method for improving the absorption capacity of offshore wind power as described in any one of claims 1 to 5.

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