Tracking the Maximum Power of the Hybrid PV-wind Systems Based on Genetic Algorithm

Ying-Li WANG, Jing GUO, Chao TIAN

Abstract


In order to highlight the advantages of genetic algorithm in hybrid PV-wind system, this paper improves the traditional genetic algorithm, and establishes the mathematical model of photovoltaic power generation and wind power generator by MATLAB, to find out the maximum power point of the mathematical model under the iteration of genetic algorithm.

Keywords


Hybrid PV-wind System, Maximum Power Tracking, Genetic Algorithm


DOI
10.12783/dtcse/aice-ncs2016/5721

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