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Soft Computing

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18-04-2015 | Methodologies and Application

Multi-objective optimization of stand-alone hybrid PV-wind-diesel-battery system using improved fruit fly optimization algorithm

Authors: Jingyi Zhao, Xiaofang Yuan

Published in: Soft Computing | Issue 7/2016

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Abstract

Stand-alone hybrid photovoltaic(PV)-wind-diesel-battery system is becoming an appropriate choice of power supply system for remote areas far from the power grid. However, the sizing optimization of the stand-alone hybrid PV-wind-diesel-battery system is difficult because of the system’s complexity. In this paper, a novel improved fruit fly optimization algorithm-based multi-objective optimization method is proposed for the optimization design of this system. Here, the objectives to be minimized are the annual total cost and the pollutant emission of the system. The obtained solutions of the best Pareto front can help decision-makers to choose the prior one. The simulation conducted in this paper is based on real data collected from Dongao Island. Simulation results show the excellent properties of the proposed optimization method and demonstrate the feasibility of the stand-alone hybrid PV-wind-diesel-battery system in Dongao Island.

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Title: Multi-objective optimization of stand-alone hybrid PV-wind-diesel-battery system using improved fruit fly optimization algorithm
Authors: Jingyi Zhao
Xiaofang Yuan
Publication date: 18-04-2015
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 7/2016
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-015-1685-6

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