DocumentCode :
3585696
Title :
Fuzzy logic based MPPT approach in a grid connected photovoltaic system
Author :
Roy, Rajib Baran ; Basher, Enamul ; Yasmin, Rojoba ; Rokonuzzaman, Md
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Inf. Technol. & Sci. (UITS), Dhaka, Bangladesh
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
The maximum power point tracking (MPPT) is required for harnessing maximum power from the grid connected photovoltaic (PV) system. This paper describes a real time implementation of a grid connected photovoltaic system based on the fuzzy MPPT algorithm to control the power of the PV panel on the generation side as well as the current of the voltage source inverter (VSI) which is connected to the grid side. The performance of the control algorithm is verified by simulation and experiment. The implementation of the fuzzy algorithm is realized on a dSPACE 1104 single board by controlling a boost chopper and a VSI. The experimental results prove the effectiveness of the control techniques of the proposed fuzzy logic by fixing the MPPT in the I-V curve of the solar panel. The DC bus voltage controller based on Lyapounov theory and the hysteresis based current control of the inverter allow a quasi total transit of the maximum extracted power from the solar panel to the grid under unit power factor operation.
Keywords :
electric current control; fuzzy control; invertors; maximum power point trackers; photovoltaic power systems; power control; voltage control; DC bus voltage controller; I-V curve; Lyapounov theory; PV panel; VSI; boost chopper; fuzzy algorithm; fuzzy logic based MPPT approach; grid connected PV system; grid connected photovoltaic system; hysteresis based current control; maximum power point tracking; power control; solar panel; unit power factor operation; voltage source inverter; Arrays; Fuzzy logic; Inverters; Mathematical model; Niobium; Switches; Voltage control; I–V curve; Lyapounov theory; MPPT; VSI; boost chopper; fuzzy algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software, Knowledge, Information Management and Applications (SKIMA), 2014 8th International Conference on
Type :
conf
DOI :
10.1109/SKIMA.2014.7083525
Filename :
7083525
Link To Document :
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