Novel MPPT method based on large variance GA-RBF

Abstract

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.

Keywords

• photovoltaic power systems
• radial basis function networks
• maximum power point trackers
• genetic algorithms
• circuit analysis computing
• solar cells
• photovoltaic cell
• maximum power point tracking scheme
• photoelectric conversion efficiency
• novel MPPT method
• photovoltaic power generation
• large variance GA-RBF network
• Matlab