Multi-objective Distributed Wind Generation Planning in an Unbalanced Distribution System

查看全文 作　　者：Yu [1]Zheng;Zhao Yang [2]Dong;Ke [2]Meng;Hongming [3]Yang;Mingyong [3]Lai;Kit Po [4]Wong

机构地区：[1]Electric Power Research Institute,China Southern Power Grid,Guangzhou 510080,China;[2]School of Electrical and Information Engineering,the University of Sydney,Sydney,NSW 2006,Australia;[3]Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distributed Network,Hunan Provincial Key Laboratory of Smart Grids Operation and Control,School of Electrical&Information Engineering,Changsha University of Science and Technology,Changsha 410114,China;[4]School of Electrical,Electronic and Computer Engineering,The University of Western Australia,Crawley,WA 6009,Australia

出　　处：《CSEE Journal of Power and Energy Systems》索引2017年第3卷第2期,共10页

基　　金：supported in part by the 2015 Science and Technology Project of China Southern Power Grid(WYKJ00000027);in part by funding from mid-career researcher development scheme,the Faculty of Engineering&Information Technologies,The University of Sydney. 摘　　要：In addition to increasing penetration of distributed generation(DG),the distribution system power flow may be significantly impacted by direction and magnitude.This paper proposes a method for optimal placement of wind DG considering the unbalanced operation of distribution systems.The objective function includes static voltage stability index,three-phase unbalance index,system reliability index,and DG investment cost.The untransposed distribution lines and unbalanced load are modelled,and corresponding static voltage stability index and system reliability considering DG penetrations are derived.The expected and stochastic daily distributed generation and demand profiles in four seasons are calculated to improve the accuracy.To solve this multi-objective optimization model,a fuzzy membership function is used to integrate the four individual objectives,and a sensitivity-based method is proposed to solve the model efficiently.Case study on IEEE 13-bus distribution 3-phase networks and 123-node test feeder successfully verifies the performance of the proposed approach. 关键词：Distribution generation(DG) mixed integer programming unbalanced distribution systems voltage stability

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Multi-objective Distributed Wind Generation Planning in an Unbalanced Distribution System

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