| Distributed wind generation(DWG),one of the relatively mature new energy power generation technologies,has been expanding its penetration in the power grid recently in the interest of achieving the national policy goal of carbon neutrality and emission peak,as well as to handle the crisis of fossil energy exhaustion and environmental pollution.However,the reverse-peak shaving characteristics of DWG output bring peak-shaving pressure to the system,and the random fluctuation of DWG limits the security-stability and economy of power grid operation.In order to alleviate the power quality and consumption problem caused by DWG grid-connection,the distributed energy storage system(DESS)with flexible bidirectional regulation ability is introduced into the distribution network with DWG.Because the difference locating and sizing of DESS has a great impact on its suppression,it is necessary to distribute DESS rationally in the distribution network to improve the DWG consumption and power supply reliability.The distribution network’s DESS allocation has significant theoretical and practical utility for increasing Energy consumption and lowering the peak-valley differential in load.Thus,it has become necessary to find a solution for how to best distribute DESS in the distribution network in order to increase the security and stability of the power grid’s functioning.Aiming at the distribution network with DWG,this paper analyzes the locating and sizing of battery energy storage system(BESS)in the distribution network.The primary research contents are as follows:(1)The development and application status of BESS in power system are expounded,and the grid-side BESS is taken as the research object of BESS selection in this paper.The research status of optimal allocation of BESS in mathematical models and solving algorithms at home and abroad are analyzed.The operation characteristics of DWG,BESS and load are studied,and the influence of grid-connection of DWG on the peak-shaving and the influence of locating and sizing of BESS on the voltage and power loss of the system are analyzed,which provides a theoretical foundation for the multi-objective optimal allocation model of BESS in the following paper.(2)The algorithm for solving the multi-objective optimal allocation of BESS was studied.The improved multi-objective particle swarm optimization(IMOPSO)method was developed by examining the drawbacks of multi-objective particle swarm optimization(MOPSO),such as lack of convergence and ease of falling into the local optimal solution.The Logistic chaotic mapping and dynamic nonlinear inertial weight strategy are introduced to improve the searching performance of MOPSO algorithm.Then,beetle antennae search(BAS)algorithm focusing on individual optimization is fused with IMOPSO algorithm focusing on group optimization to form an improved multi-objective particle swarm optimization algorithm based on the beetle antennae search(BAS-IMOPSO),which can effectively improve the particle population characteristics and improve the algorithm convergence to find a better BESS optimal allocation solution set.(3)From the perspective of improving the power quality and the economy of BESS access to the distribution network,a multi-objective energy storage optimal allocation model is established based on system voltage deviation,daily active power loss and total energy storage access capacity as the objective function,and the implementation process of solving the model by BAS-IMOPSO algorithm is described.The IEEE-33 node distribution system model with DWG was established in MATLAB,and the optimal locating,sizing and the operation strategy within an operation cycle of BESS are obtained.The performance of MOPSO algorithm is compared with that of BAS-IMOPSO algorithm.The performance of MOPSO algorithm before and after improvement was compared with that of BAS-IMOPSO algorithm.The advantages of BAS-IMOPSO algorithm in convergence and the searching performance are verified,and the positive influences of BESS optimal allocation strategy on the security-stability operation SHANLIGONG of the distribution network system are analyzed. |