Title :
MPPT control for photovoltaic system based on T-S fuzzy reasoning
Author_Institution :
North China Electric Power University, College of Electrical and Electronic Engineering, Beijing, China
Abstract :
The output characteristics of the photovoltaic cell are a nonlinear and easily affected by external environment. The maximum power point tracking (MPPT) control is an effective method to improve the conversion efficiency of the photovoltaic system. In order to solve the problems of conventional fuzzy control algorithm, a new control strategy based on T-S fuzzy reasoning is proposed. This algorithm can avoid the oscillation near the maximum power point and reduce the energy loss with good dynamic and static performance. The model of the photovoltaic system is established and simulated by Matlab/Simulink. The simulation results show the effectiveness of the proposed control algorithm.
Keywords :
"Fuzzy control","Maximum power point trackers","Photovoltaic systems","Photovoltaic cells","Oscillators","Temperature"
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
DOI :
10.1109/DRPT.2015.7432562