Optimal reactive power dispatch with wind power integrated using group search optimizer with intraspecific competition and le´vy walk  

作　　者：Yuanzheng LI Mengshi LI Qinghua WU 

机构地区：[1]Department of Electric Power Engineering,South China University of Technology(SCUT),Guangzhou 510641,Guangdong,China [2]Department of Electrical Engineering and Electronics,University of Liverpool,Liverpool L693GJ,UK

出　　处：《Journal of Modern Power Systems and Clean Energy》2014年第4期308-318,共11页现代电力系统与清洁能源学报（英文）

基　　金：The work is funded by Guangdong Innovative Research Team Program(No.201001N0104744201);National Key Basic Research and Development Program(973 Program,No.2012CB215100),China;The first author thanks for the financial support from China Scholarship Council Program(No.201306150070).

摘　　要：This paper presents the mean–variance(MV)model to solve power system reactive power dispatch problems with wind power integrated.The MV model considers the profit and risk simultaneously under the uncertain wind power(speed)environment.To describe this uncertain environment,the Latin hypercube sampling with Cholesky decomposition simulation method is used to sample uncertain wind speeds.An improved optimization algorithm,group search optimizer with intraspecific competition and le´vy walk,is then used to optimize the MV model by introducing the risk tolerance parameter.The simulation is conducted based on the IEEE 30-bus power system,and the results demonstrate the effectiveness and validity of the proposed model and the optimization algorithm.

关 键 词：Mean-variance model Reactive power dispatch Wind power Group search optimizer with intraspecific competition and le´vy walk(GSOICLW) 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]