摘要
为了解决电力系统状态估计中的病态问题,本文在正交变换法的基础上,根据数值相关性理论,提出了一种数值稳定性更强的算法—降秩近似法,这种方法对于解决电力系统状态估计中的病态问题有较好的效果,
In order to solve the problems of malfunction in the power system state estimation,this thesis proposes a more numerically stable method,which is called rank reduction approximation method.The new method is based on the orthogonal transformation and the numerical correlativity theory.The method has a better effect on the solution of the malfnnction problems in the power system state estimation.
关键词
电力系统
状态估计
降秩近似法
state estimation
orthogonal transform
Conditional number
pseudo-rank