| 基于改进粒子群算法的PMU装置数量增加过程中的最优配置方法 |
| |
| 引用本文： | 李川江,邱国跃.基于改进粒子群算法的PMU装置数量增加过程中的最优配置方法[J].电力系统保护与控制,2006,34(12):52-56,68. |
| |
| 作者姓名： | 李川江 邱国跃 |
| |
| 作者单位： | 贵州大学电气工程学院 贵州贵阳550003 |
| |
| 摘 要： | 针对现有电力系统相量测量装置(PMU)在系统中的最优配置问题,进一步考虑了系统发展过程中PMU数量增加的最优配置问题。以电力系统线性量测模型为基础,通过拓扑分析方法,以全系统可观为约束,以系统最大冗余度为目标,并使用改进的粒子群算法进行计算,实现PMU数量增加过程中的最优配置。通过算例证明了算法的有效可靠。
|
| 关 键 词： | 可观测性分析 相量测量单元 粒子群算法 |
| 文章编号： | 1003-4897（2006）12-0052-06 |
| 收稿时间： | 2005-10-27 |
| 修稿时间： | 2005-10-272006-03-20 |
Optimal placement algorithm of PMU based on enhanced particle swarm optimization during the increase of PMUs |
| |
| LI Chuan-jiang, QIU Guo-yue.Optimal placement algorithm of PMU based on enhanced particle swarm optimization during the increase of PMUs[J].Power System Protection and Control,2006,34(12):52-56,68. |
| |
| Authors: | LI Chuan-jiang QIU Guo-yue |
| |
| Affiliation: | College of Electrical Engineering, Guizhou University, Guiyang 550003, China |
| |
| Abstract: | Aiming at the existing optimal placement problem of PMU in the power system,this paper further considered the condition that the number of PMUs increase in the development of power system.Taking the observability of whole system as constraint condition and maximal measurement redundancy of measured quantities as the objectives,by using a topological analysis method,the optimization model of placement of PMU was formed based on linear measurement model of power system.Moreover,adopting the enhanced particle swarm optimization(EPSO),the optimal placement of PMU was achieved in the process of the increase of installation number.The numerical examples show that the algorithm is effective and reliable. |
| |
| Keywords: | observability analysis phasor measurement unit(PMU) particle swarm optimization(PSO) |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《电力系统保护与控制》浏览原始摘要信息 |
|
点击此处可从《电力系统保护与控制》下载全文 |
