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

Document Type: Article


College of Information System and Management, National University of Defense Technology, ChangSha, Hunan, P.R. China, 410073


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 the modified preference-inspired coevolutionary algorithm is, for the first time, applied to find the optimal configuration 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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