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Reliability parameters, such as the failure rates of power system components, are vital in evaluating power system reliability. This paper summarizes the research of the authors in using fuzzy inference systems to infer the failure rates of transmission lines in the power systems affected by hurricanes. The emphasis is on using fuzzy clustering methods to build fuzzy inference systems automatically...
Adverse weather such as hurricanes can have significant impact on power system reliability. One of the challenges of incorporating weather effects in power system reliability evaluation is to assess how adverse weather affects the reliability parameters of system components. In this paper, a fuzzy inference system (FIS) built by using fuzzy clustering method is combined with the regional weather model...
Adverse weather such as hurricanes can have a significant impact on power system reliability. More accurately predicting the impact of hurricanes on power systems can help utilities to be better prepared for upcoming hurricanes. Nodal reliability indices are important for allocating resources to the different parts of the power system. In this paper, a fuzzy inference system (FIS) built by using fuzzy...
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