Abstract
The fundamental operating feature of the Power system is that the electrical energy production and consumption are simultaneous. Therefore, the reliability requirement for power system is very high. The classical reliability evaluations of Power System adopts the widely accepted definition of reliability as the probability of a device performing its purpose adequately for he period of time indented under the operating conditions encountered [1]. In essence, for practical purpose, it is defined as the probability of a component serving in a given time period having a constant failure rate and expressed as exponentially distributed function. The classical reliability assessments are based on the probabilistic assumptions about state behavior and binary assumptions about state of the system, i.e. either in success state or in failed state. Hence classical reliability models are also known as probabilistic binary state (PROBIST) model [1-3].
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Mohanta, D.K. (2010). Fuzzy Reliability Evaluations in Electric Power Systems. In: Panigrahi, B.K., Abraham, A., Das, S. (eds) Computational Intelligence in Power Engineering. Studies in Computational Intelligence, vol 302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14013-6_4
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DOI: https://doi.org/10.1007/978-3-642-14013-6_4
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