Title :
A fuzzy logic based photovoltaic peak power tracking control
Author :
Simoes, M. Godoy ; Franceschetti, N.N. ; Friedhofer, M.
Author_Institution :
PMC/Mechatronics, Sao Paulo Univ., Brazil
Abstract :
This paper describes the analysis, modeling and implementation of a fuzzy based photovoltaic peak power tracking system. The maximum power of a photovoltaic system changes with temperature, solar intensity and load. An analytical model is built for the solar cell on the basis of the manufacturer characteristics. The solar panel is integrated with the converter model and a fuzzy algorithm is developed so as to perform an on-line search procedure to track the maximum power continuously. The system is implemented by an inexpensive RISC microcontroller. Experimental results have shown excellent performance, robustness with parameter variation, modularity for parallel operation at higher power, and ready to retrofit existing installations
Keywords :
control system synthesis; fuzzy control; microcontrollers; photovoltaic power systems; power control; power convertors; reduced instruction set computing; solar cell arrays; solar cells; RISC microcontroller; converter model; fuzzy algorithm; fuzzy based photovoltaic peak power tracking; load; maximum power change; maximum power tracking; on-line search procedure; parallel operation; parameter variation; photovoltaic system; robustness; solar cell model; solar intensity; solar panel; temperature; Analytical models; Fuzzy logic; Fuzzy systems; Photovoltaic cells; Photovoltaic systems; Power system modeling; Reduced instruction set computing; Solar power generation; Temperature; Virtual manufacturing;
Conference_Titel :
Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-4756-0
DOI :
10.1109/ISIE.1998.707796