%0 Journal Article
%T Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm
%J Scientia Iranica
%I Sharif University of Technology
%Z 1026-3098
%A Shi, Z.S.
%A Wang, R.
%A Zhang, X.Y.
%A Zhang, Y.
%A Zhang, T.
%D 2017
%\ 12/01/2017
%V 24
%N 6
%P 3148-3156
%! Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm
%K Grid-connected system
%K Renewable Energy
%K Hybrid System
%K Preference-inspired algorithm
%K Coevolutionary
%K multi-objective optimization
%R 10.24200/sci.2017.4405
%X 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 modified preference-inspired co-evolutionary algorithm is, for the first time, applied to find the optimal conguration of a grid-connectedhybrid 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.
%U https://scientiairanica.sharif.edu/article_4405_b2b6c7ca13e0075d8272c3ff0c50b9b8.pdf