风电场分群无功控制的基本思路-电测与仪表.DOC

基于遗传算法的双馈风场分群策略1，于乐征2朱加明博方臣（ 1.东北电力大学 电气工程学院 吉林 吉林 132012 2.国网山东省电力公司聊城供电公司，山东 聊城252200 3.国网安徽省电力公司安庆供电公司安徽 安庆 246003 4.大唐黑龙江新能源开发有限公司， 150090）摘要：双馈风电场无功控制采用恒功率因数控制，没有充分利用风电场内双馈风电机组和无功补偿设备的无功调节能力也没有考虑风电场集电系统的。考虑集电系统和调节能力的，策略实时监测的并网点电压数据和出力数据为基础，分析双馈风电机组的特性风电场的无功需求，利用算无功模型，降低集电系统和改善并网点电压的目的。某实际风场的仿真算例验证了所提策略的有效性。关键词：发电；无功； TM761.1 文献标识码：A 文章编号：1001-1390（201）00-0000-00 A clustering reactive power control strategy in DFIG-based wind farm based on genetic algorithm Xu Mengfu1, Yu Lezheng1,Zhu Jiaming1, (1. School of Electrical Engineering, Northeast Dianli University, Jilin132012, Jilin, China. 2. Liaocheng Power Supply Company of State Grid Shandong Electric Power Company, Liaocheng 252200, Shandong, China. 3. Anqing Power Supply Company of State Grid Anhui Electric Power Company, Anqing 246003, Anhui, China. 4. Datang Heilongjiang New Energy Development Limited Company, Harbin 246003, China) Abstract: Most of the reactive power control of doubly-fed wind farm uses the constant power factor control, which doesn’t make full use of the reactive power adjustment capability of DFIG and reactive compensation equipment in doubly-fed wind farm, nor does it takes the network-loss in the power collector system into consideration. This paper presents a comprehensive consideration of the characteristics of current collector systems and reactive power regulation capabilities of DFIG for reactive power control strategy. The strategy is based on the real-time monitoring date includes the point of common coupling and active power output date of DFIG, according to analysis the power characteristics of DFIG and the reactive power demand of wind farm, it uses the genetic algorithm for multi-objective reactive power optimization control model of wind farm to reduce network-loss of the collector system and improve the power quality of the point of common coupling. A simulation case of an actual wind field verifies the validity of the strategy. Keywords：wind power g