Open AccessNovel MPPT method based on large variance GA‐RBF
Author(s) -
Jing Zhang,
Ning Liu,
Jiabin Xu,
Shengfang Zhao,
Yan Xu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8887
Subject(s) - photovoltaic system , matlab , maximum power point tracking , irradiance , photoelectric effect , computer science , power (physics) , scheme (mathematics) , maximum power principle , electronic engineering , control theory (sociology) , materials science , engineering , optoelectronics , electrical engineering , mathematics , optics , artificial intelligence , physics , control (management) , quantum mechanics , inverter , operating system , mathematical analysis
The photoelectric conversion efficiency of photovoltaic cells is mainly affected by temperature and irradiance. In order to promote the development of photovoltaic power generation, it is necessary to improve the photoelectric conversion efficiency of photovoltaic cells. This paper combines two major factors that affect photovoltaic cells, a maximum power point tracking scheme based on large variation GA‐RBF network is proposed. The system used in this scheme is simulated through Matlab. The simulation results show that the new maximum power point tracking scheme has higher accuracy and rapidity, the photoelectric conversion efficiency of the photovoltaic cell is greatly improved.