CN-122026494-A - Site selection and volume fixing method and device for grid photovoltaic energy storage system

CN122026494ACN 122026494 ACN122026494 ACN 122026494ACN-122026494-A

Abstract

The invention relates to the technical field of power grid photovoltaic energy storage, in particular to a method, a device, computer equipment and a storage medium for locating and sizing a power grid photovoltaic energy storage system, which are based on the scheme of locating and sizing the photovoltaic energy storage system and the corresponding total cost, the balance of contradiction between the calculation speed and the effect is realized by combining a multi-level caching mechanism and a genetic algorithm, a reliable scheme is provided for site selection and volume determination with high efficiency, and the photovoltaic energy storage configuration scheme is enabled to be more fit with the actual requirements of a power grid to realize scientific configuration of the photovoltaic energy storage system.

Inventors

CAI DONGPENG
YE DELIANG
HUANG SHOUYE
CHEN TIANYU
LIANG JIGUANG
LIN YANGBO
Zhu Murui
Zheng Yizhang
WU JIAYUAN
HUANG DEHUA
XI QI
LIU YUANWEI
SUN NAN
HUANG WEIDA
WANG JIN
LIN JINQIAN
LIN HONG
Lan Yingbin
CHEN XUJIE

Assignees

广东电网有限责任公司汕尾供电局

Dates

Publication Date: 20260512
Application Date: 20260214

Claims (10)

1. The method for selecting the site and fixing the volume of the power grid photovoltaic energy storage system is characterized by comprising the following steps of: The method comprises the steps of obtaining a power grid line topological graph of a target area, an initial group of current iteration and a cache space, wherein the power grid line topological graph comprises a plurality of substation nodes and lines among all substations, the group comprises a plurality of initial photovoltaic energy storage system locating and volume-fixing schemes, the initial photovoltaic energy storage system locating and volume-fixing schemes comprise substation node locating labels and energy storage capacities, and the cache space comprises a plurality of cache photovoltaic energy storage system locating and volume-fixing schemes, total cost of all cache photovoltaic energy storage system locating and volume-fixing schemes and total cost of all cache photovoltaic energy storage system locating and volume-fixing schemes; Judging whether a corresponding cache photovoltaic energy storage system locating and sizing scheme exists in the cache space according to the locating and sizing scheme of each initial photovoltaic energy storage system in the initial population of the current iteration and the power grid line topological graph, and obtaining the total cost of the locating and sizing scheme of each initial photovoltaic energy storage system in the initial population of the current iteration; Adopting a genetic algorithm, and carrying out population optimization on the initial population of the current iteration according to the total cost of each initial photovoltaic energy storage system addressing and volume-fixing scheme in the initial population of the current iteration to obtain an optimized population of the current iteration; Updating the cache space according to the addressing and sizing scheme of each photovoltaic energy storage system in the optimized population of the current iteration and the corresponding total cost to obtain the updated cache space of the current iteration; taking the optimized population of the current iteration as an initial population of the next iteration, repeatedly executing total cost calculation, population optimization and cache space update, and obtaining updated cache space of the last iteration; And constructing a plurality of target photovoltaic energy storage system addressing and sizing schemes according to the updated cache space of the last iteration to obtain a plurality of target photovoltaic energy storage system addressing and sizing schemes as addressing and sizing results of the grid photovoltaic energy storage system in the target area.
2. The method for locating and sizing a photovoltaic energy storage system of a power grid according to claim 1, wherein the step of determining whether a corresponding cache photovoltaic energy storage system locating and sizing scheme exists in the cache space according to the locating and sizing scheme of each initial photovoltaic energy storage system in the initial population of the current iteration and the power grid line topology map to obtain the total cost of the locating and sizing scheme of each initial photovoltaic energy storage system comprises the steps of: If the substation node locating label and the energy storage capacity of the initial photovoltaic energy storage system locating and sizing scheme are the same as those of the cache photovoltaic energy storage system locating and sizing scheme, judging that the cache photovoltaic energy storage system locating and sizing scheme corresponding to the initial photovoltaic energy storage system locating and sizing scheme exists in the cache space; If the substation node site selection tag and the energy storage capacity of the initial photovoltaic energy storage system site selection and volume determination scheme are different from those of the cache photovoltaic energy storage system site selection and volume determination scheme, constructing the area range of each cache photovoltaic energy storage system site selection and volume determination scheme in the power grid line topology according to the power grid line topology and the substation node site selection tag of each cache photovoltaic energy storage system site selection and volume determination scheme in the cache space by taking the substation node corresponding to the substation node site selection tag as a circle center; Judging whether the initial photovoltaic energy storage system locating and sizing scheme falls into the area range of the cache photovoltaic energy storage system locating and sizing scheme in the power grid line topological graph according to the substation node locating tag of the initial photovoltaic energy storage system locating and sizing scheme, if so, judging that the cache photovoltaic energy storage system locating and sizing scheme corresponding to the initial photovoltaic energy storage system locating and sizing scheme exists in the cache space; if the cache space is judged to have the cache photovoltaic energy storage system locating and sizing scheme corresponding to the initial photovoltaic energy storage system locating and sizing scheme, taking the total cost of the corresponding cache photovoltaic energy storage system locating and sizing scheme as the total cost of the initial photovoltaic energy storage system locating and sizing scheme; If the fact that the cache photovoltaic energy storage system locating and sizing schemes corresponding to the initial photovoltaic energy storage system locating and sizing schemes do not exist in the cache space is judged, power grid line topology data are obtained, the total cost of each initial photovoltaic energy storage system locating and sizing scheme is calculated according to the power grid line topology data, and the total cost of each initial photovoltaic energy storage system locating and sizing scheme is obtained.
3. The grid photovoltaic energy storage system site selection and sizing method of claim 2 wherein the grid line topology data comprises substation power data and substation line data, wherein the substation power data comprises active power data and reactive power data of each substation node; The calculating the total cost of each initial photovoltaic energy storage system addressing and sizing scheme according to the power grid line topology data to obtain the total cost of each initial photovoltaic energy storage system addressing and sizing scheme, comprising the following steps: Adopting Distflow multi-constraint tide method to carry out minimum operation and maintenance cost solution according to the photovoltaic power generation data, the power grid line topology data, the substation node site selection labels of each initial photovoltaic energy storage system site selection and volume determination scheme, the energy storage capacity, a preset minimum operation and maintenance cost objective function and a plurality of constraint conditions to obtain the minimum operation and maintenance cost of each initial photovoltaic energy storage system site selection and volume determination scheme, wherein the minimum operation and maintenance cost objective function is as follows: Objective = sum(price Pgrid) baseMVA deltaT wherein, objective is operation cost, sum () is a sum function, price is electricity purchase price, pgrid is a first decision variable, which represents active power purchased from a main power grid in each hour, baseMVA is the basic capacity of a photovoltaic energy storage system, and deltaT is a unit time window; The constraint conditions comprise substation node power balance constraint conditions, and the substation node power balance constraint conditions are as follows: A Pbr(:,t) == Pgen(:,t) - mpc0.pd(:,1)/baseMVA loadCoeff(t) A Qbr(:,t) == Qgen(:,t) - mpc0.qd(:,1)/baseMVA loadCoeff(t) Wherein A is a line topology incidence matrix constructed based on the power grid line topology graph and comprises a plurality of line labels of substation nodes, wherein the line labels are used for indicating that the substation nodes belong to a line starting point or a line ending point, pbr (t) is a second decision variable and represents the active power of the line at the moment t, pgen (t) is a third decision variable and represents the active power flowing into the substation nodes at the moment t, mpc0.pd (1) is the active power data of the substation nodes based on the power data of the substation nodes, loadCoeff (t) is a power coefficient at the moment t, mpc0.qd (1) is a reactive power balance parameter of the substation nodes, qbr (t) is a fourth decision variable and represents the reactive power of the line at the moment t, and represents the change condition of the power at the moment t relative to the reference power, qgen (t) is a fifth decision variable and represents the reactive power flowing into the substation nodes at the moment t; the constraint conditions comprise line capacity constraint conditions, wherein the line capacity constraint conditions are as follows: V2(f,t) l2(b,t)>= Pbr(b,t)^2 + Qbr(b,t)^2 Where V2 (f, t) is a sixth decision variable, representing the square of the voltage at the substation node f at time t, l2 (b, t) is a seventh decision variable, representing the square of the current of line b at time t, pbr (b, t)/(2) is an eighth decision variable, representing the square of the active power of line b at time t, qbr (b, t)/(2) is a ninth decision variable, representing the square of the reactive power of line b at time t; The constraint conditions comprise voltage safety constraint conditions, wherein the voltage safety constraint conditions are as follows: Vmin2 = 0.95^2 Vmax2 = 1.05^2 Vmin2<= V^2<= Vmax2 Wherein, vmin2 is the square of the minimum value of the safety voltage of the power station node, and represents the square of the voltage of the power station node f at the time t, vmax2 is the square of the maximum value of the safety voltage of the power station node, and V2 is the square of the voltage of the current power station node at the time t; the constraint conditions comprise balanced transformer substation constraint conditions, and the balanced transformer substation constraint conditions are as follows: V2(1,t) == 12 Pgen(1,t) == Pgrid(t) Pgrid(t)>= 0 wherein V2 (1, t) is the voltage square of the balance transformer substation at the time t, pgen (1, t) is the active power of the balance transformer substation at the time t, and Pgrid (t) is the main network purchase power at the time t; the constraint conditions comprise photovoltaic power generation constraint conditions, wherein the photovoltaic power generation constraint conditions are as follows: 0<= Ppv_var(t)<= Ppv(t) Pgen(PVnode,t) == Ppv_var(t) Qgen(PVnode,t) == 0 Wherein ppv_var (t) is a tenth decision variable, and represents the actual power generation amount of the photovoltaic at the time t, ppv (t) is the maximum value of the photovoltaic power generation of the photovoltaic energy storage system at the time t, pgen (PVnode, t) is an eleventh decision variable, represents the active power of the photovoltaic energy storage system at the time t of the site-selected substation node, qgen (PVnode, t) is a twelfth decision variable, and represents the reactive power of the photovoltaic energy storage system at the time t of the site-selected substation node; The method comprises the steps of obtaining the energy storage investment cost and the annual energy storage depreciation cost of each initial photovoltaic energy storage system addressing and sizing scheme, and accumulating the minimum operation and maintenance cost, the energy storage investment cost and the annual energy storage depreciation cost of the same initial photovoltaic energy storage system addressing and sizing scheme to obtain the total cost of each initial photovoltaic energy storage system addressing and sizing scheme.
4. The method for locating and sizing a photovoltaic energy storage system of a power grid according to claim 3, wherein the genetic algorithm is adopted to optimize the current iteration initial population according to the total cost of each initial photovoltaic energy storage system locating and sizing scheme in the current iteration initial population, so as to obtain the optimized population of the current iteration, and the method comprises the following steps: Adopting a tournament selection method, randomly selecting a plurality of initial photovoltaic energy storage system addressing and sizing schemes from an initial population of the current iteration according to preset times, determining an initial photovoltaic energy storage system addressing and sizing scheme with the minimum annual average cost of each time, and obtaining a plurality of selected photovoltaic energy storage system addressing and sizing schemes as a selected photovoltaic energy storage system addressing and sizing scheme; Adopting a simulated binary crossover method to carry out crossover treatment on the substation node site selection labels and the energy storage capacities of the site selection and volume determination schemes of the selected photovoltaic energy storage systems, and obtaining the site selection and volume determination schemes of the selected photovoltaic energy storage systems after crossover treatment; performing mutation processing on the substation node site selection labels and the energy storage capacities of the site selection and volume determination schemes of the selected photovoltaic energy storage systems by adopting a simulated binary mutation method to obtain the site selection and volume determination schemes of the selected photovoltaic energy storage systems after the mutation processing; Determining a plurality of photovoltaic energy storage system addressing and sizing schemes of the minimum total cost in the initial population of the current iteration, combining the plurality of photovoltaic energy storage system addressing and sizing schemes of the minimum total cost in the initial population of the current iteration, each selected photovoltaic energy storage system addressing and sizing scheme after cross treatment and each selected photovoltaic energy storage system addressing and sizing scheme after mutation treatment, and constructing the optimized population of the current iteration.
5. The method for locating and sizing a photovoltaic energy storage system of a power grid according to claim 4, wherein the buffer space comprises a first-level buffer space and a second-level buffer space; The method comprises the steps of updating the cache space according to the addressing and sizing scheme of each photovoltaic energy storage system in the optimized population of the current iteration and the corresponding total cost to obtain the updated cache space of the current iteration, and comprises the following steps: Adding the addressing and volume-fixing schemes of all the photovoltaic energy storage systems into the secondary cache space in sequence, and taking the first addressing and volume-fixing scheme of the photovoltaic energy storage systems in the secondary cache space as the main photovoltaic energy storage system addressing and volume-fixing scheme; Performing correlation analysis according to the main body photovoltaic energy storage system addressing and sizing scheme and the cache photovoltaic energy storage system addressing and sizing schemes in the secondary cache space to obtain correlation analysis results of the main body photovoltaic energy storage system addressing and sizing scheme and the cache photovoltaic energy storage system addressing and sizing schemes in the secondary cache space; If the correlation analysis result has a correlation result, adding the main body photovoltaic energy storage system locating and sizing scheme and the cache photovoltaic energy storage system locating and sizing scheme corresponding to the correlation result into the first cache space, deleting the main body photovoltaic energy storage system locating and sizing scheme and the corresponding cache photovoltaic energy storage system locating and sizing scheme in the second cache space, and obtaining an updated cache space.
6. The method for locating and sizing a grid photovoltaic energy storage system according to claim 5, wherein the performing correlation analysis according to the main photovoltaic energy storage system locating and sizing scheme and each cache photovoltaic energy storage system locating and sizing scheme in the secondary cache space to obtain a correlation analysis result of the main photovoltaic energy storage system locating and sizing scheme and each cache photovoltaic energy storage system locating and sizing scheme in the secondary cache space comprises the steps of: Calculating the absolute value of the difference value between the energy storage capacity of the main body photovoltaic energy storage system locating and sizing scheme and the energy storage capacity of each cache photovoltaic energy storage system locating and sizing scheme, and obtaining the basic distance between the main body photovoltaic energy storage system locating and sizing scheme and each cache photovoltaic energy storage system locating and sizing scheme; If the substation node addressing label of the main body photovoltaic energy storage system addressing and sizing scheme is different from the substation node addressing label of the cache photovoltaic energy storage system addressing and sizing scheme, adding the basic distance and a preset unit distance to obtain a final distance between the main body photovoltaic energy storage system addressing and sizing scheme and each cache photovoltaic energy storage system addressing and sizing scheme; And if the final distance between the main body photovoltaic energy storage system locating and sizing scheme and each cache photovoltaic energy storage system locating and sizing scheme is smaller than a preset distance threshold value and the cost difference is smaller than a preset cost threshold value, setting the correlation analysis result of the main body photovoltaic energy storage system locating and sizing scheme and the cache photovoltaic energy storage system locating and sizing scheme as a correlation result.
7. The method for locating and sizing the grid photovoltaic energy storage system according to claim 6, wherein the steps of constructing the locating and sizing schemes of the plurality of target photovoltaic energy storage systems according to the updated cache space of the last iteration to obtain the locating and sizing schemes of the plurality of target photovoltaic energy storage systems comprise the following steps: Adopting a genetic algorithm to optimize the population according to the plurality of cache photovoltaic energy storage system addressing and sizing schemes in the cache population and preset iteration times, obtaining an optimized population of the last iteration, and taking the cache photovoltaic energy storage system addressing and sizing scheme in the optimized population of the last iteration as a target photovoltaic energy storage system addressing and sizing scheme; And extracting a plurality of cache photovoltaic energy storage system locating and sizing schemes with minimum total cost from the second cache space, and taking the cache photovoltaic energy storage system locating and sizing schemes as target photovoltaic energy storage system locating and sizing schemes.
8. The utility model provides a power grid photovoltaic energy storage system's site selection and constant volume device which characterized in that includes: The system comprises a data acquisition module, a data storage module, a cache space and a storage module, wherein the data acquisition module is used for acquiring a power grid line topological graph of a target area, an initial population of current iteration and the cache space, wherein the power grid line topological graph comprises a plurality of substation nodes and lines among all substations; the cost calculation module is used for judging whether a corresponding cache photovoltaic energy storage system locating and sizing scheme exists in the cache space according to the locating and sizing scheme of each initial photovoltaic energy storage system in the initial population of the current iteration and the power grid line topological graph, and obtaining the total cost of the locating and sizing scheme of each initial photovoltaic energy storage system; The population optimization module is used for carrying out population optimization on the initial population of the current iteration according to the total cost of the addressing and volume-fixing schemes of each initial photovoltaic energy storage system in the initial population of the current iteration by adopting a genetic algorithm, so as to obtain an optimized population of the current iteration; The buffer space updating module is used for updating the buffer space according to the addressing and sizing scheme of each photovoltaic energy storage system in the optimized population of the current iteration and the corresponding total cost to obtain the updated buffer space of the current iteration; And the locating and sizing module is used for constructing a plurality of target photovoltaic energy storage system locating and sizing schemes according to the updated cache space of the last iteration to obtain a plurality of target photovoltaic energy storage system locating and sizing schemes which are used as locating and sizing results of the grid photovoltaic energy storage system in the target area.
9. A computer device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the grid photovoltaic energy storage system site selection and sizing method of any of claims 1 to 7.
10. A storage medium storing a computer program which, when executed by a processor, implements the steps of the grid photovoltaic energy storage system addressing and sizing method of any of claims 1 to 7.

Description

Site selection and volume fixing method and device for grid photovoltaic energy storage system Technical Field The invention relates to the technical field of grid photovoltaic energy storage, in particular to a method and device for selecting addresses and fixing volumes of a grid photovoltaic energy storage system, computer equipment and a storage medium. Background As global energy structures are transformed to clean, low-carbon, photovoltaic power generation is an important form of renewable energy, and the permeability in the power grid continues to increase. However, photovoltaic power generation is affected by natural factors such as illumination, temperature and the like, has strong volatility and intermittence, and a large number of grid connection can bring challenges to power flow distribution, voltage stability and power supply reliability of a power grid. Meanwhile, the power grid load presents time-period and regional differences, the traditional method is mostly based on experience or simple rules, and lacks systematic modeling on the power grid topological structure and operation constraint, so that photovoltaic power generation fluctuation and load demand change are difficult to effectively balance, the optimization result is inaccurate, the calculation efficiency is low, and the traditional method is difficult to adapt to complex network scenes. Therefore, reasonable configuration (i.e., node addressing and sizing) of the photovoltaic energy storage system becomes one of the key technologies for solving the above-mentioned problems. Disclosure of Invention Based on the method, the device, the computer equipment and the storage medium, the balance of contradiction between the calculation speed and the effect is realized by combining a multi-level cache mechanism and a genetic algorithm based on the addressing and sizing scheme of the photovoltaic energy storage system and the corresponding total cost, a reliable scheme is provided for addressing and sizing with high efficiency, and the photovoltaic energy storage configuration scheme is more matched with the actual requirement of the power grid to realize scientific configuration of the photovoltaic energy storage system. In a first aspect, an embodiment of the present application provides a method for locating and sizing a photovoltaic energy storage system of a power grid, including the following steps: Obtaining a power grid line topological graph of a target area, an initial group of current iteration and a cache space, wherein the power grid line topological graph comprises a plurality of substation nodes and lines among all substations, the group comprises a plurality of initial photovoltaic energy storage system locating and volume-fixing schemes, and the initial photovoltaic energy storage system locating and volume-fixing schemes comprise substation node locating labels and energy storage capacities; judging whether a corresponding cache photovoltaic energy storage system locating and sizing scheme exists in the cache space according to each initial photovoltaic energy storage system locating and sizing scheme in the initial population of the current iteration and the power grid line topological graph, and obtaining the total cost of each initial photovoltaic energy storage system locating and sizing scheme; Adopting a genetic algorithm, and carrying out population optimization on the initial population of the current iteration according to the total cost of each initial photovoltaic energy storage system addressing and volume-fixing scheme in the initial population of the current iteration to obtain an optimized population of the current iteration; Updating the cache space according to the addressing and sizing scheme of each photovoltaic energy storage system in the optimized population of the current iteration and the corresponding total cost to obtain the updated cache space of the current iteration; taking the optimized population of the current iteration as an initial population of the next iteration, repeatedly executing total cost calculation, population optimization and cache space update, and obtaining updated cache space of the last iteration; And constructing a plurality of target photovoltaic energy storage system addressing and sizing schemes according to the updated cache space of the last iteration to obtain a plurality of target photovoltaic energy storage system addressing and sizing schemes as addressing and sizing results of the grid photovoltaic energy storage system in the target area. In a second aspect, an embodiment of the present application provides an address selecting and volume fixing device for a grid photovoltaic energy storage system, including: The system comprises a data acquisition module, a data storage module, a cache space and a storage module, wherein the data acquisition module is used for acquiring a power grid line topological graph of a target area, an initial population of current iterat