| 基于SA-PSO的电力系统无功优化 |
| |
| 引用本文： | 何佳,吴耀武,娄素华,熊信艮.基于SA-PSO的电力系统无功优化[J].电力系统及其自动化学报,2007,19(5):114-118. |
| |
| 作者姓名： | 何佳 吴耀武 娄素华 熊信艮 |
| |
| 作者单位： | 华中科技大学电气与电子工程学院,武汉,430074 |
| |
| 摘 要： | 粒子群优化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模拟退火算法的思想,提出了一种新的模拟退火粒子群优化(simulated annealing particle swarm optimization,SA-PSO)算法,并将其应用于电力系统无功优化。对IEEE14节点系统进行了仿真计算,并与PSO算法作了比较,结果表明SA-PSO算法全局收敛性能及收敛精度均较PSO算法有了较大提高。
|
| 关 键 词： | 电力系统 无功优化 模拟退火粒子群优化算法 自适应 |
| 文章编号： | 1003-8930（2007）05-0114-05 |
| 收稿时间： | 2006-03-15 |
| 修稿时间： | 2006-09-20 |
Power System Reactive Power Optimization Based on Simulated Annealing Particle Swarm Optimization Algorithm |
| |
| HE Jia,WU Yao-wu,LOU Su-hua,XIONG Xin-yin.Power System Reactive Power Optimization Based on Simulated Annealing Particle Swarm Optimization Algorithm[J].Proceedings of the CSU-EPSA,2007,19(5):114-118. |
| |
| Authors: | HE Jia WU Yao-wu LOU Su-hua XIONG Xin-yin |
| |
| Affiliation: | School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
| |
| Abstract: | Particle swarm optimization(PSO) is one of the evolutionary computation techniques which is convenient and has high convergence speed,but it also has some limitations such as premature convergence.So an improved method called simulated annealing particle swarm optimization(SA-PSO)algorithm is presented and is applied to reactive power optimization of power system,which takes advantage of the self-adaptation inertia weight coefficient and the idea of simulated annealing algorithm.The proposed method has significant improvement in global convergence property and convergence precision compared with PSO algorithm,which is proved by the simulation results of IEEE 14-node system. |
| |
| Keywords: | power system reactive power optimization simulated annealing particle swarm optimization algorithm(SA-PSO) self-adaptation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
