Author/Authors :
Zhang Yan نويسنده , Zhang Tao نويسنده , Wang Rui نويسنده , Zhang Xiaoyu نويسنده , Shi Zhichao نويسنده University of Alberta,
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 modied preference-inspired co-evolutionary
algorithm is, for the rst time, applied to nd the optimal conguration 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 eective.