Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system

H.R. Baghaee, M. Mirsalim, G.B. Gharehpetian and H.A. Talebi

Energy, 2016, vol. 115, issue P1, 1022-1041

Abstract: The main goal for designing hybrid wind–solar generating microgrid systems is reliable supply of load, under varying weather conditions, with the minimum cost and maximum reliability. In this paper, a hybrid wind-solar generation microgrid system with hydrogen energy storage is designed for a 20-year period of operation using novel multi-objective optimization algorithm to minimize the three objective functions namely annualized cost of the system, loss of load expected and loss of energy expected. System costs involve investment, replacement and operation and maintenance costs and the major components of system may be subjected to failure. The simulation results based on multi-objective particle swarm optimization for different cases reveal the impact of components outage on reliability and cost of the system. In addition, an approximate method for reliability evaluation of hybrid system is presented which lead to reduce computation time. Simulation results show effectiveness of proposed multi-objective algorithm to solve optimal sizing problem in contrast with traditional single objective methods.

Keywords: Wind energy; Photovoltaic; Fuel cell; Reliability; Optimal sizing; Multi-objective particle swarm optimization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (51)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:115:y:2016:i:p1:p:1022-1041

DOI: 10.1016/j.energy.2016.09.007

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