Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm

Authors

1 College of Systems Engineering, National University of Defense Technology, ChangSha, Hunan, P.R. China, 410073

2 College of Systems Engineering, National University of Defense Technology, ChangSha, Hunan, P.R. China, 410073.

Abstract

The optimal design of grid-connected Hybrid Renewable Energy Systems (HRESs) is studied by using multi-objective evolutionary algorithm in this paper. With the total system cost and fuel emissions to be minimized, a two-objective optimization model of the hybrid system is established. Then, a modifi ed preference-inspired co-evolutionary algorithm is, for the first time, applied to fi nd the optimal con guration of a grid-connected
hybrid system. As an example, a grid-connected hybrid system, including PV panels, wind turbines, and diesel generators, has been designed and good results are obtained which show that the proposed method is effective.

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Scientia Iranica
Volume 24, Issue 6 - Serial Number 6
Transactions on Computer Science & Engineering and Electrical Engineering (D)
November and December 2017
Pages 3148-3156

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