摘要
介绍了双馈风力发电系统的广域阻尼控制策略和控制器结构,在此基础上,分析了遗传算法和粒子群算法的各自特点,综合两种算法的优势,给出了遗传粒子群算法,利用遗传粒子群算法优化得到了广域阻尼控制器参数。以含150 MW容量双馈风电场的四机两区域互联电力系统为对象,仿真验证了所设计的广域阻尼控制器的控制效果。
This paper introduces wide-area damping control strategy and controller structure of＇ doubly-fed wind power system. Thereupon, the characteristics of genetic algorithm and particle swarm algorithm are analyzed respectively; by integrating the advantages of the two methods, GAPSO algorithm is formulated and applied to derive the parameters of wide-area damping controller. Finally, its control performance is validated by time domain simulations on a power system with four-machine and two-area interconnection in a 150MW doubly-fed wind farm.
出处
《华东电力》
北大核心
2013年第6期1156-1160,共5页
East China Electric Power
基金
高等学校博士学科点专项科研基金项目(201101411100320
中央高校基本科研业务费专项资金资助(2012207020205)
关键词
风电
广域阻尼控制器
遗传粒子群算法
功率振荡
双馈风电场
wind power
wide-area damping controller
GAPSO algorithm
power oscillation
doubly-fed wind farm
