一种基于遗传-禁忌混合策略的PMU最优配置方法  

An optimal placement method of PMU based on bybrid strategy of genetics and taboo

作　　者：陈若珠[1] 张玲[1] 李战明[1] 刘峻 

机构地区：[1]兰州理工大学电气工程与信息工程学院,甘肃兰州730050 [2]甘肃省电力科学研究院,甘肃兰州730050

出　　处：《兰州理工大学学报》2008年第2期80-83,共4页Journal of Lanzhou University of Technology

基　　金：兰州理工大学优秀教师基金资助项目(Q200314)的资助

摘　　要：以电力系统状态完全可观测和相量测量单元配置数目最小为目标,形成PMU最优配置问题.相量测量单元可以测量母线电压相量,结合测量数据采用改进的快速拓扑可观测性分析方法保证系统完全可观测,应用遗传算法和禁忌搜索算法的混合策略求解最优配置问题,实现全局最优.以IEEE 9节点系统和IEEE 39节点系统为例进行验证,结果表明,直接利用节点可观测原则判断电力系统的可观测性,可以提高可观测性分析的计算效率.Taking the full observability of power system state and the least number of disposed phasor measurement units as objective, the optimal placement problem of PMU was constituted. Because the voltage phase of busbar could be measured with phasor measurement unit, the full observability of power system could be guaranteed by using the data measured and the improved fast analysis method of topological observability. The optimal placement problem was solved by using a hybrid strategy of genetic method and taboo searching method, so that the global optimization was realized. Its verification was conducted by means of illustration of two systems with IEEE 9-bus and 39-bus. The result showed that the computation efficiency of observability analysis could be improved when the observability of power system was to be directly judged by means of bus observability rule.

关 键 词：相量量测单元(PMU) 最优配置 可观测性分析 遗传-禁忌搜索算法 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]