The evaluation of confidence limit on LOLP for multi area system

Suhartono, Y. Zika, S. Sasaki
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引用次数: 6

Abstract

Since the forced outage rates (FOR) of generating plants is actually uncertain, LOLP must be a random variable. This paper presents an effective simulation method for calculating the value of LOLP of a multi area system by considering uncertainties both on FOR and load forecasting. There are no exact values of LOLP in a random system, and therefore one has to evaluate its confidence interval. The interval estimate of LOLP gives the upper and lower values of LOLP, so that the LOLP lies between these limits with a specified probability. These upper and lower values of LOLP may be interpreted to be confidence limits on the expected value of LOLP. The simulation results were tested by statistical goodness-of-fit tests and the gamma distribution was found to provide a good fit to the data produced by the Monte Carlo simulations for the sample system.
多区域系统LOLP置信限的评价
由于发电厂的强制停运率(FOR)实际上是不确定的,因此LOLP必须是一个随机变量。本文提出了一种同时考虑for和负荷预测不确定性的多区域系统LOLP计算的有效仿真方法。在随机系统中不存在精确的LOLP值,因此必须评估其置信区间。LOLP的区间估计给出了LOLP的上下限,使得LOLP以指定的概率位于这两个极限之间。这些LOLP的上下限可以解释为对LOLP期望值的置信限。通过统计拟合优度检验对模拟结果进行了检验,发现伽马分布与样本系统的蒙特卡罗模拟产生的数据具有很好的拟合性。
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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