基于改进PSO算法在含风电场的电力系统无功优化控制  

VAR Optimization in Wind Power System Based on Improved PSO

作　　者：骆君[1] 吴政球[1] 冷贵锋[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《绝缘材料》2009年第2期67-70,共4页Insulating Materials

摘　　要：含风电场的电力系统无功优化是一种具有多状态、多约束条件的非线性规划问题。针对其存在易陷入局部最优解的缺点,提出了改进的PSO算法。该算法改变了初始化方法和粒子更新方法,并在算法后期引入变异因子。在放射状配电网络系统的仿真计算中,改进PSO算法与遗传算法相比较,结果表明,改进PSO算法可在较短时间内取得更好的优化效果。VAR optimization for wind power systems is a non-linear problem with multi-state variations and multi-constraints. As PSO algorithm has a shortcoming of easily plunging into a local optimal solution, an improved PSO was put forward according to the practice of VAR optimization in power systems. In the improved PSO, a new method for initialization and particle update are used; and variation factors are applied. The results show that the optimization effect based on the improved PSO for the simulating calculation of a radial power distribution network system is better than that based on conventional algorithm.

关 键 词：改进粒子群优化算法 风电场 无功优化 

分 类 号：TM614[电气工程—电力系统及自动化]