摘要
以有功网损最小、电压偏差最小和静态电压稳定裕度最大为目标,考虑异步风电机的简化模型对电网的影响,建立能根据风速变化进行实时调节的多目标无功优化模型。通过改进自动调节的惯性权重刷新粒子,提出根据Pareto最优解的拥挤距离形成Pareto最优解曲面,以拥挤距离最大的结果作为全局极值,引导粒子在Pareto最优曲面上分散分布。利用MATLAB编程对IEEE30节点系统进行了仿真计算,结果表明该算法具有实用性。
Taking minimum active power transmission losses, minimum voltage deviation and maximum static voltage stability margin as target and considering of impact of simplified model of asynchronous wind power generator on power grid, this paper discusses establishment of multiple-target reactive power optimization model which is able to realize real-time adjust- ment according to change of wind speed. By improving self-adjusting inertial weight to refresh particle, it proposes to form curved surface of Pareto optimal solution according to crowding distance of Pareto optimal solution and take maximum crow- ding distance result as global extreme value to guide particle dispersedly distributing on Pareto optimal curved surface. By u- sing MATLAB programming, it proceeds simulation calculation for IEEE 30 node system and the result indicates practicabili- ty of this algorithm
出处
《广东电力》
2014年第2期17-21,92,共6页
Guangdong Electric Power
基金
广东省自然科学基金资助项目(10151009001000045)
南方电网科技项目(K-GD2012-218)
关键词
多目标
无功优化
风力发电
粒子群算法
PARETO最优解
MATLAB
multiple target
reactive power optimization
wind power generation
particle swarmalgorithm
Pareto optimal solution
MATLAB
