The Measure of Customer Equipment Failure Event Due to Voltage Sag

X. Huang, Miao Li
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引用次数: 1

Abstract

An effective evaluation method of sensitive equipment failure event in customer side is proposed. In this method, the voltage sag severity and maximum entropy principle are used to present the voltage sag severe degree and its probability distribution. The voltage sag duration and magnitude with certain physical performance are converted to severity indices namely sag duration severity index (DSI) and voltage magnitude severity index (MSI). Based on maximum entropy principle, the probability distribution functions of sag severity indices are calculated without any assumption. Cumulative summing method is used to determine the probability of customer equipment failure event. As a case study, the personal computer is simulated and the results show that this method is reasonable and accurate.
电压骤降引起的客户设备故障事件的测量
提出了一种客户端敏感设备故障事件的有效评估方法。该方法利用电压骤降严重程度和最大熵原理来表示电压骤降严重程度及其概率分布。将具有一定物理性能的电压凹陷持续时间和幅度转化为严重程度指标,即凹陷持续时间严重指数(DSI)和电压幅度严重指数(MSI)。基于最大熵原理,在不做任何假设的情况下,计算了凹陷严重程度指标的概率分布函数。采用累积求和法确定客户设备故障事件的概率。以个人计算机为例进行了仿真,结果表明该方法是合理、准确的。
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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