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Series-parallel power system optimisation using a harmony search algorithm
Courtesy of Inderscience Publishers
Today's important industrial companies seek maximum benefit with minimum investment. In order to achieve this goal, design engineers depend on cost optimisation techniques. This work uses a harmony search algorithm (HS) meta-heuristic optimisation method to solve the problem of power systems design optimisation. We consider the case where redundant electrical components are chosen to achieve a desirable level of reliability. The electrical power components of the system are characterised by their cost, capacity and reliability. The proposed meta-heuristic seeks for the optimal design of series-parallel power systems in which a multiple choice of electrical power components with different parameters are selected from a list of products available in the market. To allow fast reliability estimation, a universal moment generating function (UMGF) method is applied. A computer program has been developed to implement the UMGF and HS algorithm. An illustrative example is presented.
Keywords: harmony search, optimisation, power system design, reliability, universal moment generating function, UMGF, series-parallel power systems, metaheuristics, redundant electrical components, reliability
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