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Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm
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نویسنده
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shi z.s. ,wang r. ,zhang x.y. ,zhang y. ,zhang t.
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منبع
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scientia iranica - 2017 - دوره : 24 - شماره : 6-D - صفحه:3148 -3156
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چکیده
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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 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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کلیدواژه
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Grid-connected system; Renewable energy; Hybrid system; Preference-inspired algorithm; Coevolutionary; Multi-objective optimization
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آدرس
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national university of defense technology, college of systems engineering, China, national university of defense technology, college of systems engineering, China, national university of defense technology, college of systems engineering, China, national university of defense technology, college of systems engineering, China, national university of defense technology, college of systems engineering, China
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Authors
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