电力系统状态估计中不良数据辨识方法的比较研究

IEEE Transactions on Power Apparatus and Systems Pub Date : 1985-11-01 DOI:10.1109/TPAS.1985.318945

L. Mili, T. Cutsem, M. Ribbens-Pavella

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引用次数: 162

摘要

目前可用的识别技术首先分为三大类。他们的行为相对于选定的标准，然后探索和评估。在此基础上，对不同类型的不良数据进行了一系列的仿真。调查这些识别技术的行为方式可以完成和验证理论比较和结论。

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Bad Data Identification Methods In Power System State Estimation-A Comparative Study

The identification techniques available today are first classified into three broad classes. Their behaviour with respect to selected criteria are then explored and assessed. Further, a series of simulations are carried out with various types of bad data. Investigating the way these identification techniques behave allows completing and validating the theoretical comparisons and conclusions.

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IEEE Transactions on Power Apparatus and Systems

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