遗传算法在基于相角测量的电力系统状态估计中的应用  

Genetic Algorithm in Electric Power System State Estimation Based on Phase Angle Measurement

作　　者：刘云静[1] 

机构地区：[1]东北大学分校,秦皇岛066004

出　　处：《仪器仪表学报》2003年第z1期329-330,共2页Chinese Journal of Scientific Instrument

摘　　要：状态估计是电力系统监控中心进行在线监控的基础 ,因此提高状态估计精度是非常重要的。本文应用遗传算法优化相角测量装置的安装地点 ,使安装点数最少 ,而状态估计精度最高。State estimation is regarded as a basis for on line security monitoring functions in most modern power system control centers so that improving state estimation accuracy is very important. Genetic algorithm is applied to optimize the phase angle measurement unit placement in order to improve state estimation accuracy and minimize the amount of phase angle measurement unit.

关 键 词：遗传算法 相角测量 状态估计 

分 类 号：TM7[电气工程—电力系统及自动化]