关于电力系统状态估计中不良数据的估计识别方法
On Bad Data Identification Method for Power System State Estimation
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摘要: 在电力系统状态估计中,某些作者提出了不良数据的估计识别方法[1,2],本文试图把它们 统一起来,并进行评价.文章利用其所定义的残差正规化灵敏度矩阵对不良数据估计误差、方 法的可行性和适用范围等进行了分析.另外在控制计算机上实现其算法提出了建议Abstract: In the scope of power system state estimation, some authors have proposed methods for bad bata identification by means of its evaluation[1,2], this paper attempts to generalize such methods and to give some comments on them. The bad data error evaluation, the feashbility of the metbod have been tested and analysed, using the "normalized" residual sensitivity matrix defined in this paper. Some suggestions are proposed in the realization of the algorithm on control computers.
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