One important function of Power System State Estimation is identification and suppression of bad data.
不良数据检测和辩识是电力系统状态估计中的一个重要环节。
It can overcome the effect of bad data on parameter estimation, and has strong robustness, and can track time-varying parameters because the discontinuous recursive computation was applied.
该方法由于采用了间断迭代，因此可以克服坏数据对参数估计的影响，且具有较强的鲁棒性，又可以跟踪时变参数。
Present status of the distribution system state estimation, and methods of bad data detection and identification are surveyed here.
并对配电网状态估计的研究现状和常用不良数据的检测与辨识方法进行了描述。
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