Research On Operation And Evaluation Of Cooperative Optimal Allocation Of Composite Energy Storage In Active Distribution Network

In recent years,more and more attention has been paid to the research of active distribution networks with high penetration of renewable energy,and the randomness and intermittency of renewable energy have led to uncertain factors in the operation of active distribution networks.Energy storage systems are required to participate in system regulation.With the high proportion of distributed power access and the increasing requirements for power quality,the use of a single energy storage often fails to meet the corresponding needs of the grid with high permeability.Therefore,multiple time scale composite energy storage systems are connected to power distribution Net is an effective solution.This paper first introduces the domestic and international research status of hybrid energy storage systems and active distribution networks with energy storage in the context of high proportion of distributed energy consumption.Theoretical exploration and engineering application of energy storage planning and operation research.Secondly,the basic structure of an active power distribution network with energy storage is constructed,and the position and role of traditional power generation units,distributed energy and energy storage integrated dispatch centers in the power grid are clarified,thereby further proposing the control of energy storage integrated dispatch centers Strategies,give the response strategies of different energy storage systems under different power grid needs,and then macroscopically analyze the impact of a variety of energy storage access to the active distribution network,which lays the foundation for the further establishment of mathematical models.Then,with energy storage investment cost and minimum line loss as the targets,with energy storage access location and rated capacity in the distribution network as decision variables,and energy storage investment cost and network loss cost as the optimization goals,establish The upper-layer multi-objective energy storage location and volume model is based on the multi-objective non-dominated sorting genetic algorithm to solve the above multi-objective scheduling optimization model with multiple constraints and multiple variables to obtain the optimal location and capacity for energy storage access;Taking the obtained results as the initial value of the lower model,with the minimum storage cost as the goal,the lower nonlinear mixed integer model is established,and the mixed genetic algorithm is used to solve the alignment,and finally the double integer scheduling quadratic programming model is formedFinally,based on the energy storage power and combination information obtained by optimal configuration and operation,a test case was established with the improved IEEE 14-node distribution network to verify the feasibility of the model and the proposed algorithm.Different time scales are used as the standard for measuring the operation of energy storage,combined with the corresponding needs of the energy storage of the distribution network in various situations,a comprehensive assessment of the role of multiple energy storage in the active distribution network is made by gradient and level.