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.

Keywords

Main Subjects



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