电力系统动态状态估计中不正常事件的处理

Anomaly Processing in Power Sytem Dynamic State Estimation

本文提出电力系统动态状态估计中不正常事件处理的有效算法。这一算法可以检测、辨识和处理的不正常事件包括:系统状态的突然变化,多个不良数据、网络拓扑结构错误以及坏数据和系统状态突然变化同时发生的情况等。数值试验证实了这个算法对处理各种不正常事件是十分有效的。

An efficient anomaly processing algorithm in power system state estimation is proposed. The anomalies that can be detected, identified and processed by this method include: a sudden change on system state, multiple bad data, network topology errors and the simultaneity of bad data and sudden change on system states. Digital tests show that the algorithm is efficient in dealing with various anomalies.