| 引用本文: | 唐剑东,熊信银,吴耀武,蒋秀洁.基于改进PSO算法的电力系统无功优化[J].电力自动化设备,2004,(7):81-84 |
| .Power system reactive power optimization based on modified particle swarm optimization algorithm[J].Electric Power Automation Equipment,2004,(7):81-84 |
|
|
| 摘要: |
| 粒子群优化PSO(Particle Swarm Optimization)算法是一种简便易行、收敛快速的演化计算方法，但该算法也存在收敛精度不高，易陷入局部极值的缺点。针对这些缺点，对原算法加以改进，引入了自适应的惯性系数和变异算子，提出了一种新的改进粒子群优化MPSO(Modified Particle Swarm Optimization)算法，并将其应用于电力系统无功优化，建立了相应的优化模型。对IEEE-14节点系统及某地区70节点实际电力系统进行了仿真计算，并与PSO算法作了比较，结果表明MPSO优化算法能有效地应用于电力系统无功优化．其全局收敛性能及收敛精度均较PSO算法有了一定程度的提高。 |
| 关键词: 粒子群优化算法 改进粒子群算法 自适应 变异 |
| DOI： |
| 分类号:TM744 |
| 基金项目: |
|
| Power system reactive power optimization based on modified particle swarm optimization algorithm |
|
TANG Jian-dong XIONG Xin-yin WU Yao-wu JIANG Xiu-jie
|
| Abstract: |
| PSO (Particle Swarm Optimization) is an evolutionary computation technique,which is simplein application and quick in convergence,but also low in precision and easy in premature convergence. A modified algorithm MPSO(Modified Particle Swarm Optimization) is presented and applied to reactive power optimization of power system. Compared with PSO,the optimization results of IEEE-14-bus system and a real regional power system show that MPSO is a successful and feasible approach for reactive power optimization and the global convergency and convergence precision are better. |
| Key words: PSO,MPSO,self-adaptation,mutation |
