Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems

被引：37
作者：
Dzobo, O. [1 ]
Gaunt, C. T. [1 ]
Herman, R. [1 ]
机构：
[1] Univ Cape Town, Dept Elect Engn, ZA-7701 Rondebosch, South Africa
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2012年 / 37卷 / 01期
关键词：
Business customers; Customer interruption costs; Probability distribution function; Reliability-worth; OUTAGE; COST;
D O I：
10.1016/j.ijepes.2011.12.013
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The use of probability distribution functions to describe reliability-worth input parameters is fairly new compared to using average values. Reliability-worth indices of power systems are frequently calculated as average values and convey little information about risk In this paper beta probability distribution function was used to model time-dependent customer interruption costs as an input parameter to reliability-worth analyses of power systems. Time-sequential Monte-Carlo simulation technique that can handle time dependence of the input parameters was employed in the analysis. The results revealed that more information can be derived from the reliability-worth indices when probability distributions are used to describe the reliability-worth input and output parameters. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：110 / 116
页数：7
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