CN-122000959-A - Energy storage configuration method considering robustness of wind-solar energy storage system

CN122000959ACN 122000959 ACN122000959 ACN 122000959ACN-122000959-A

Abstract

The application discloses an energy storage configuration method considering robustness of a wind-light storage system, which comprises the steps of presetting a basic structure frame of the wind-light storage system under grid-connected operation, integrating the basic structure frame, an initial uncertain operation interval, operation constraint of the energy storage system and operation state variables to obtain an energy storage configuration model of the wind-light storage system, utilizing space-time budget constraint and space cluster constraint to obtain an intermediate uncertain operation interval, adopting the intermediate uncertain operation interval to adjust the operation constraint of the energy storage system to obtain the uncertainty constraint of the wind-light storage system, adjusting the energy storage configuration model of the wind-light storage system based on the fact that the total cost is minimized as an objective function under the uncertainty constraint to obtain the energy storage robust configuration model of the wind-light storage system, and adopting an improved sparrow algorithm to solve the energy storage robust configuration model to obtain energy storage configuration parameters of the wind-light storage system.

Inventors

FAN XIAOCHAO
SUN JIANQIAO
HAO TING
WANG JIANGLEI
SHI RUIJING

Assignees

新疆工程学院

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. An energy storage configuration method considering robustness of a wind-solar energy storage system, comprising: Presetting a foundation structure frame of a wind-light storage system integrated with wind power generation, photovoltaic power generation and energy storage systems under grid-connected operation; Integrating an infrastructure frame, an initial uncertain operation interval of the wind-solar storage system, operation constraint of the energy storage system and operation state variables at each moment to obtain an energy storage configuration model of the wind-solar storage system; Compressing the initial uncertain operation interval by using space-time budget constraint and space cluster constraint to obtain a middle uncertain operation interval; adjusting the operation constraint of the energy storage system by adopting an intermediate uncertain operation interval to obtain the uncertainty constraint of the wind-solar energy storage system; under the uncertainty constraint, adjusting an energy storage configuration model of the wind-light storage system based on the overall cost minimization as an objective function to obtain an energy storage robust configuration model of the wind-light storage system; and solving an energy storage robust configuration model by adopting an improved sparrow algorithm to obtain energy storage configuration parameters of the wind-solar energy storage system.
2. The energy storage configuration method considering robustness of a wind-solar energy storage system according to claim 1, wherein the compressing the initial uncertain operation interval to obtain the intermediate uncertain operation interval by using space-time budget constraint and space cluster constraint includes: Subtracting an actual output value and a predicted output value corresponding to wind power generation in an initial uncertain operation interval to obtain wind power deviation; subtracting an actual output value and a predicted output value corresponding to the photovoltaic power generation in the initial uncertain operation interval to obtain photovoltaic deviation; subtracting the actual output value and the predicted output value corresponding to the load in the initial uncertain operation interval to obtain load deviation; And performing collaborative optimization on the wind power deviation, the photovoltaic deviation and the load deviation by using space-time budget constraint and space cluster constraint to obtain an intermediate uncertain operation interval.
3. The energy storage configuration method considering robustness of a wind-light storage system according to claim 1, wherein the adjusting the operation constraint of the energy storage system by adopting the middle uncertain operation interval to obtain the uncertainty constraint of the wind-light storage system comprises: defining upper and lower limits corresponding to operation constraints of the energy storage system by using the middle uncertain operation interval; and adjusting the operation constraint of the energy storage system by using the upper limit and the lower limit to obtain the uncertainty constraint of the wind-solar energy storage system.
4. The energy storage configuration method considering robustness of a wind-light storage system according to claim 1, wherein the adjusting the energy storage configuration model of the wind-light storage system based on minimizing total cost as an objective function under the uncertainty constraint to obtain the energy storage robust configuration model of the wind-light storage system comprises: Adding the total life cycle cost, the conventional unit cost, the tie line power fluctuation punishment cost, the robust punishment cost and the carbon emission cost of the energy storage system to obtain the total cost of the wind-solar energy storage system; constructing a target function with the total cost minimized based on the total cost of the wind-light storage system; And under the uncertainty constraint, based on the objective function, adjusting the operation parameters and the configuration parameters of the energy storage configuration model of the wind-light storage system to obtain the energy storage robust configuration model of the wind-light storage system.
5. The energy storage configuration method considering robustness of a wind-solar storage system according to claim 1, wherein before the energy storage robust configuration model is solved by adopting the improved sparrow algorithm to obtain the energy storage configuration parameters of the wind-solar storage system, the method further comprises: Converting uncertainty constraint in an energy storage robust configuration model of the wind-light storage system based on the number of renewable energy power stations of the wind-light storage system, a predicted output value of the renewable energy power stations and an output deviation coefficient of the renewable energy power stations by using a Lagrange multiplier method to obtain deterministic constraint; The method for solving the energy storage robust configuration model by adopting the improved sparrow algorithm to obtain the energy storage configuration parameters of the wind-solar energy storage system comprises the following steps: and under deterministic constraint, solving an energy storage robust configuration model by adopting an improved sparrow algorithm to obtain energy storage configuration parameters of the wind-solar energy storage system.
6. The energy storage configuration method considering robustness of a wind-solar storage system according to claim 5, wherein the improved sparrow algorithm is an algorithm fusing a Levy flight strategy and a self-adaptive differential evolution mechanism, and the solving the energy storage robust configuration model by adopting the improved sparrow algorithm under deterministic constraint to solve the energy storage robust configuration model to obtain energy storage configuration parameters of the wind-solar storage system comprises: Under deterministic constraint, determining a configuration space of a plurality of configuration parameters of an energy storage robust configuration model; Performing iterative optimization on a plurality of configuration parameters in a configuration space based on the fitness of the plurality of configuration parameters by adopting an improved Levy flight strategy of a sparrow algorithm and a self-adaptive differential evolution mechanism until the maximum iterative times are reached, wherein the fitness of the configuration parameters is a value obtained by evaluating an energy storage robust configuration model substituted with configuration values of the configuration parameters according to a preset evaluation index; And correspondingly taking the configuration values corresponding to the configuration parameters under the maximum iteration times as the energy storage configuration parameters of the wind-solar energy storage system.
7. The energy storage configuration method considering robustness of a wind and solar energy storage system according to claim 6, wherein determining a configuration space of a plurality of configuration parameters of an energy storage robust configuration model under the deterministic constraint comprises: adopting an improved sparrow algorithm to carry out population initialization on the energy storage robust configuration model to obtain a plurality of configuration parameters; under deterministic constraints, a configuration space for a plurality of configuration parameters is determined.
8. The energy storage configuration method considering robustness of a wind-light storage system according to claim 6 or 7, wherein the Levy flight strategy and the adaptive differential evolution mechanism adopting the improved sparrow algorithm perform iterative optimization on a plurality of configuration parameters in a configuration space until a maximum number of iterations is reached based on fitness of the plurality of configuration parameters, and the method comprises: distinguishing a finder parameter, a follower parameter, and an alerter parameter from a plurality of configuration parameters based on fitness; And carrying out iterative updating on the configuration values corresponding to the finder parameters by utilizing a Levy flight strategy, and synchronously carrying out mutation, crossover and selection operations on the configuration values corresponding to the follower parameters and the configuration values corresponding to the alerter parameters by utilizing an adaptive differential evolution mechanism so as to iteratively update the configuration values corresponding to the follower parameters and the alerter parameters until the iteration times reach the maximum iteration times.
9. The energy storage configuration method considering robustness of a wind-solar storage system according to claim 1, wherein the method further comprises: the energy storage robust configuration model of the wind-solar storage system is evaluated by using the probability of violating the safety standby constraint as a robust quantization index, so that an evaluation result is obtained; And according to the evaluation result, adjusting model parameters of the energy storage robust configuration model of the wind-light storage system to obtain the adjusted energy storage robust configuration model of the wind-light storage system.
10. The energy storage configuration method considering robustness of wind-solar energy storage system according to claim 1, wherein the infrastructure frame at least comprises a wind farm, a photovoltaic power station, a load side, a conventional unit, an energy storage system and a tie line.

Description

Energy storage configuration method considering robustness of wind-solar energy storage system Technical Field The application relates to the technical field of power system planning and operation, in particular to an energy storage configuration method considering robustness of a wind-solar energy storage system. Background The system flexibility is improved on the basis of guaranteeing the stable operation of the power grid, the grid-connected consumption of new energy power generation is promoted, and the method is one of the important research directions at present. The new energy power generation system is formed by centralized and large-scale wind and photovoltaic plants, adjacent thermal power is used as a stability support, and unified dispatching of a power grid is accepted, so that the system is a main current consumption mode. However, because wind power and photovoltaic power output have intermittence, volatility and uncertainty (collectively referred to as "uncontrollability"), when the permeability of the new energy power generation system is low, the new energy power generation system can balance the fluctuation of the traditional thermal power generating unit by adjusting the output of the traditional thermal power generating unit. However, when the proportion of the energy is continuously improved, the problems of lack of flexible resources, difficult peak regulation, huge supply and demand real-time balance pressure and the like of the new energy power generation system become bottlenecks for restricting the new energy consumption, and serious 'waste wind and light' phenomena are caused. In the prior art, when energy storage planning is carried out, a deterministic model is generally adopted (uncertainty is ignored), or fluctuation of wind power or photovoltaic output is only considered independently, so that superposition effect of load prediction error and wind and light fluctuation is ignored, quantification means for influence on source-load double-side uncertainty coupling is lacking, the configuration result is severely disjointed from actual operation requirements, or the capacity is excessively configured, so that investment is wasted, or the configuration is insufficient, and the system safety operation requirement cannot be met. Disclosure of Invention In view of the above, the embodiment of the application provides an energy storage configuration method considering the robustness of a wind-light storage system, which aims to scientifically and economically configure the energy storage capacity on the premise of fully considering multiple uncertainties of wind-light loads, and ensure the safety and stability of the system in actual operation and maximize the economic benefits of carbon and electricity. The technical scheme of the embodiment of the application is realized as follows: The embodiment of the application provides an energy storage configuration method considering robustness of a wind-light storage system, which comprises the steps of presetting a basic structure frame of the wind-light storage system fused with wind power generation, photovoltaic power generation and the energy storage system under grid-connected operation, integrating an initial uncertain operation interval of the basic structure frame and the wind-light storage system, operation constraint of the energy storage system and operation state variables at each moment to obtain an energy storage configuration model of the wind-light storage system, compressing the initial uncertain operation interval by utilizing space-time budget constraint and space cluster constraint to obtain an intermediate uncertain operation interval, adjusting the operation constraint of the energy storage system by adopting the intermediate uncertain operation interval to obtain the uncertainty constraint of the wind-light storage system, adjusting the energy storage configuration model of the wind-light storage system based on the overall cost minimization as an objective function under the uncertainty constraint to obtain the energy storage robust configuration model of the wind-light storage system, and solving the energy storage robust configuration model by adopting an improved sparrow algorithm to obtain the energy storage configuration parameters of the wind-light storage system. The technical scheme provided by the embodiment of the application has the beneficial effects that at least: The embodiment of the application discloses an energy storage configuration method considering the robustness of a wind-light storage system, which comprises the steps of constructing an accurate and compact uncertainty description framework by jointly modeling wind, light and load uncertainties and introducing space-time budget constraint and space cluster constraint to tighten an initial uncertain operation interval of the wind-light storage system, so that an overservice problem caused by depending on extreme scenes of a traditional robu