基于BAS-IMOPSO算法的风电系统储能优化配置  

Optimal allocation of energy storage in wind power system based on BAS-IMOPSO algorithm

作　　者：朱娟娟[1] 段奕琳 闫群民[1] 李召 ZHU Juanjuan;DUAN Yilin;YAN Qunmin;LI Zhao(College of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723001,China)

机构地区：[1]陕西理工大学电气工程学院,陕西汉中723001

出　　处：《电力工程技术》2023年第2期180-187,共8页Electric Power Engineering Technology

基　　金：国家自然科学基金资助项目(62176146)。

摘　　要：风力发电作为一种清洁的可再生能源,在电力系统中应用广泛,但风电出力的随机波动性会对电力系统电能质量产生不利影响。储能系统(energy storage system,ESS)因其灵活的双向调节能力被用于平抑风电接入系统带来的电压与功率波动问题。文中考虑储能接入节点与容量不同对风电出力波动的平抑效果不同,以系统电压偏差、日有功网损和ESS配置容量为目标函数建立多目标储能优化配置模型。采用一种基于天牛须搜索算法的改进多目标粒子群优化(beetle antennae search-improved multi-objective particle swarm optimization,BAS-IMOPSO)算法求解该模型,利用基于信息熵的逼近理想解排序法在Pareto解集中选取最佳储能配置方案。在IEEE 33节点系统中对模型进行仿真验证,结果表明:BAS-IMOPSO算法优化下的ESS降低配电网电压偏差与有功网损的能力较多目标粒子群优化(multi-objective particle swarm optimization,MOPSO)算法显著提高,有效改善了系统的电能质量,具有削峰填谷的作用,验证了BAS-IMOPSO算法的有效性。Wind power generations are widely used in power system as a type of clean renewable energy.However,the random fluctuation of wind power output has a negative effect on the power quality of power system.The energy storage system has been applied to suppress the voltage and power fluctuation by wind power access to power system because of its flexible bidirectional regulation ability.In this paper,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.A beetle antennae search-improved multi-objective particle swarm optimization(BAS-IMOPSO)algorithm which is formed by combining BAS and IMOPSO is used to solve the model,and the optimal energy storage allocation scheme is selected in Pareto solution set by using the technique of order preference by similarity to ideal solution based on information entropy.The proposed model has been applied to IEEE 33-node distribution system.The simulation results show that the energy storage system optimized by BAS-IMOPSO algorithm has significantly higher ability to reduce voltage deviation and active power loss of distribution network than MOPSO algorithm does,and it can effectively improve the power quality with the ability of peak load shifting.The model shows the effectiveness of the proposed BAS-IMOPSO algorithm.

关 键 词：储能 风电出力波动 容量优化 荷电状态(SOC) LOGISTIC映射 天牛须搜索-改进多目标粒子群优化(BAS-IMOPSO)算法 

分 类 号：TM93[电气工程—电力电子与电力传动]