摘要
基于GPS的同步相量测量单元(PMU)是一种新型的高精度测量装置,能够测量母线电压相量。由于经济和技术等方面的原因,每个节点都配置PMU还不能成为现实。为此,提出了在传统的状态估计的基础上,部分安装PMU以后的状态估计模型。基于此模型,以提高状态估计的精度为目标,引入遗传算法,应用遗传算法的全局搜索特性,自动获取和积累有关搜索空间的知识,并自适应地控制搜索过程来优化PMU的配置数量和安装位置,并用IEEE 14节点网络验证了算法的可行性。
GPS-based synchronous phasor measurement unit （PMU） is a new high-accuracy measuring equipment, and can collect state information of power system. For the consideration of economy and technology, it is not practical that PMU is allocated in every nodes. The model of a new measuring system partially equipped PMU is proposed based on traditional state estimation. In order to enhance the precision of state estimation, genetic algorithm is introduced, which is a global search method and can automatically access to accumulated knowledge of search features. The number and location of PMU are optimized by adaptive control of genetic algorithm. The feasibility of the proposed method is verified by IEEE14-node system.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2009年第1期48-51,共4页
Proceedings of the CSU-EPSA
基金
四川省应用基础研究项目(07J13-071)
关键词
相角量测单元
状态估计
电力系统
遗传算法
phasor measurement unit （PMU）
state estimation
power system
genetic algorithm
