An Optimal Approach In Maximum Power Point Tracking For PV Applications Using A Fuzzy Controller

2007 ◽  
Vol 1 (1) ◽  
pp. 1-4
Author(s):  
J. Devishree ◽  
P. Anbalagan
2013 ◽  
Vol 303-306 ◽  
pp. 1153-1157
Author(s):  
Yi Zong Dai ◽  
De Jun Miao

Based on the nonlinear of the photovoltaic device output power and the frequent changes in the work environment, a fuzzy controller with genetic algorithm was applied to maximum power point tracking (MPPT) of photovoltaic generation system. The problem of difference in the different interval of the maximum point was solved. It ensure that the system has a higher accuracy .By comparing the method of the fuzzy control and the method of fuzzy control with genetic algorithm through simulation , the result demonstrates the better control effect.


Author(s):  
Quang-Vi Ngo ◽  
Chai Yi ◽  
Trong-Thang Nguyen

This paper presents the research on small-scale wind turbine systems based on the Maximum Power Point Tracking (MPPT) algorithm. Then propose a new structure of a small-scale wind turbine system to simplify the structure of the system, making the system highly practical. This paper also presented an MPPT-Fuzzy controller design and proposed a control system using the wind speed sensor for small-scale wind turbines. Systems are simulated using Matlab/Simulink software to evaluate the feasibility of the proposed controller. As a result, the system with the MPPT-Fuzzy controller has much better quality than the traditional control system.


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