配电可靠性中的灾变日识别问题及鲁棒估计方法

R. Christie
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引用次数: 0

摘要

IEEE标准P1366中描述的配电可靠性计算中使用的重大事件日识别过程是基于计算五年数据的阈值。大规模的、不常见的可靠性事件,如百年一遇的冰暴,被称为灾难性的日子,可以扭曲阈值计算,从而影响主要事件日的识别和正常可靠性水平的计算,直到灾难性的日子从五年的窗口中滚动出去。配电可靠性工作组的灾难性日工作小组探索了识别灾难性日并将其排除在重大事件日计算之外的方法。本文描述了一种这样的方法——稳健估计。虽然理论上是有效的,但鲁棒估计在实践中并没有得到很好的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The catastrophic day identification problem in distribution reliability, and the robust estimation approach
The Major Event Day identification process used in distribution reliability calculation described in IEEE Standard P1366 is based on computing a threshold from five years of data. Massive, infrequent reliability events, such as a one in one hundred year ice storm, dubbed Catastrophic Days, can skew the threshold computation and thus affect the identification of Major Event Days and the calculation of normal reliability levels until the Catastrophic Day rolls out of the five year window. The Catastrophic Day Task Force of the Distribution Reliability Working Group has explored methods to identify Catastrophic Days and exclude them from the Major Event Day computations. One such method, Robust Estimation, is described in this work. While theoretically valid, Robust Estimation has not worked well in practice.
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