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Substation Reliability Assessment Considering Non-Exponential Distributions And Restorative Actions  

Kim, Gwang-Won (School of Electrical Engineering, University of Ulsan)
Lee, Kwang Y. (Dept. of Electrical Engineering, pennsylvania State University)
Publication Information
KIEE International Transactions on Power Engineering / v.3A, no.3, 2003 , pp. 155-160 More about this Journal
Abstract
Reliability assessment of power systems has been an important topic for the past several decades. It is becoming even more important nowadays as the power market moves toward a new competitive environment. This paper deals with two topics on reliability assessment. The first is how to select probability distributions and determine their parameters to model the probabilistic events in a power system. The second is how to consider restorative actions in the assessment, which directly influence reliability indices. This paper proposes simple but convincing alternative solutions on the two topics. In the case study, this paper shows the influences of the probability distributions that are used in power system modeling.
Keywords
reliability assessment; substation; Monte Carlo simulation; fitness test; non-exponential distribution;
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