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Journal Articles International Journal of Power and Energy Conversion Year : 2009

Series-parallel power system optimisation using a harmony search algorithm

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Abstract

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.
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Dates and versions

hal-02362278 , version 1 (13-11-2019)

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Abdelkader Zeblah, Eric Chatelet, Mohamed El Samrout, Farouk Yalaoui, Yamani Massim. Series-parallel power system optimisation using a harmony search algorithm. International Journal of Power and Energy Conversion, 2009, 1 (1), pp.15. ⟨10.1504/IJPEC.2009.023474⟩. ⟨hal-02362278⟩
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