Reliability Modeling and Evaluation of Electrical Power Generation using Genetic Algorithm

Abstract

Reliability modeling for electrical power Generation is important tasks which can be evaluated using genetic
algorithm [1].The genetic algorithm approach have significant advantages over the conventional methods [2]. Electrical
Power generation modeling is essential to predict available capacity of the plant. Capacity outage probability table is one of
the Techniques to evaluate the generating station availability, unavailability and generation level for different mode of
failure of units [4]. Conventional approaches use a considerable mathematical modeling of the generating units. This
process requires a huge time and it includes least occurrence states also, which may not occur in practically. This paper
proposes a Genetic Algorithm (GA) technique to obtain the COPT (Capacity Outage Probability Table) with most
occurrence states of a generating system. The proposed technique gave an effective approach to construct COPT for the
generation model.