Title of article :
Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm
Author/Authors :
Zhang Yan نويسنده , Zhang Tao نويسنده , Wang Rui نويسنده , Zhang Xiaoyu نويسنده , Shi Zhichao نويسنده University of Alberta,
Pages :
9
From page :
3148
To page :
3156
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 modi ed preference-inspired co-evolutionary algorithm is, for the rst time, applied to 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 e ective.
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2412197
Link To Document :
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