中国电力2017，Vol.50Issue(3)：137-142,6.DOI:10.11930/j.issn.1004-9649.2017.03.137.06
多负荷水平下含风电接入的配电网无功优化
Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels
摘要
Abstract
Due to the random feature of wind power,the access of large numbers of wind turbines brings high uncertainties to the reactive power optimization of distribution network.In order to improve the adaptability of reactive power optimization to the wind turbines,this paper proposes a new model for multi-objective reactive power optimization of distribution systems integrated with wind power based on scenario analysis under multiple load levels.Two indexes,including net savings and nodes voltage deviation,are synthetically considered in the model.Through fuzzing of the two indexes,the maximum fuzzy satisfaction index method is used to transform the multi-objective optimization problem into a single objective problem,which is then solved by the adaptive genetic algorithm.By using a 33-bus testing system as an example,the capacitor switching,power loss,node voltage and net savings are analyzed with the proposed algorithm under different scenarios and three load levels,including maximum load,normal and minimum load.The case study shows that the proposed model and method can effectively improve the voltage profile of distribution system and significantly reduce the power loss,and can be applied to the reactive power optimization of distribution system integrated with wind power generators under multiple load levels.关键词
配电网络/无功补偿/风力发电/多负荷水平/模糊建模/自适应遗传算法Key words
distribution power system/reactive power compensation/wind power generation/multiple load levels/fuzzy modeling/adaptive genetic algorithm分类
信息技术与安全科学引用本文复制引用
姜凤利,张鑫,王俊,朴在林..多负荷水平下含风电接入的配电网无功优化[J].中国电力,2017,50(3):137-142,6.基金项目
国家科技支撑计划资助项目(2012BAJ26B01) （2012BAJ26B01）
辽宁省教育厅科研项目(L2013260) （L2013260）
辽宁省博士启动基金(201601106) （201601106）
This work is supported by the the National Science-Technology Support Plan Projects （）
the Scientific Research Project of Liaoning Province Department of Education （）
Doctoral Scientific Research Foundation of LiaoNing Province. （）
