推广卡尔曼滤波法应用于同步机参数估计和电力系统动态等效

本文提出一类用推广卡尔曼滤波技术，在线估计同步机参数和电力系统动态等效的方法。在电机参数估计中，对不同运行方式下的估计效果，初值设置对收敛的影响，量测参量的选择作了探讨。在动态等效计算中，采用一简单确定性的单机无穷大系统去动态等效一未知的两机系统。分析了不同运行方式下动态等效的效果，并对等效主特征根和原型主特征根作了验证，这一方法可为在线测试参数，状态观测和动态等效提供手段。

Identification of Generator Parameters and Dynamic Equivalents of Power Systems by Using Extended Kalman Filter

This paper presents a method for the identification of generator parameters and dynamic equivalents of power systems by using Kalman filter technigue. In the identification of parameters, the estimated effect the implications of various initial guesses on the convergence and the choice of output state vectors were investigated. In dynamic equivalents, an unknown complex system(system of two machines)may be made equivalent to a simple system model(a determinstic system of one machine against an infinite bus). the main characteristic values of dynamic equivalents were compared with the values of model and are well verifies by result. This method could be utilized as a way for on-line parameter estimation state observe and dynamic equivalents.