Heuristics: An attempt to identify catastrophic days

James D. Bouford
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引用次数: 1

Abstract

The Major Event Day identification process used in distribution reliability calculation described in IEEE Standard 1366-2003 is based on computing a threshold from the prior five years of daily SAIDI data. Infrequent events, such as a hurricane, severe ice storm, or earthquake can appreciably increase the Major Event Day threshold value. This will usually reduce the number of Major Event Days over the next five years and increase the value of annual SAIDI by a small, but not insignificant amount. The Catastrophic Event Task Force of the Distribution Reliability Working Group has explored methods to identify Catastrophic Events to exclude them from the calculation of the Major Event Day thresholds. The Heuristic Method, based on the original work that developed the 2.5 Beta Method for calculating the Major Event day thresholds, is presented.
启发式:试图识别灾难性的日子
IEEE标准1366-2003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前五年每日SAIDI数据的阈值。不频繁的事件,如飓风、严重的冰暴或地震,可以明显地增加重大事件日的阈值。这通常会减少未来五年的重大事件日数,并使年度SAIDI的价值增加一小部分,但并非微不足道。配电可靠性工作组的灾难性事件工作组探索了识别灾难性事件的方法,以将其排除在主要事件日阈值的计算之外。提出了一种启发式方法,该方法是在原始工作的基础上开发的用于计算重大事件日阈值的2.5 Beta方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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