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Research Article Open Access
The Solar power varies mainly depends on the weather conditions. Many new algorithms have been projected to track the maximum power point (MPPT) of the solar system. This paper, presents a comparative study of two intelligent control methods in order to optimize the efficiency of the solar PV system. This paper presents in details comparative study between Incremental conductance algorithm and fuzzy Logic controller algorithm applied to a DCDC Boost converter device. The Boost converter increases output voltage, it is depends on the duty cycle of switch device. The proposed controllers are adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a solar PV array. Finally performance comparison between Incremental conductance and Fuzzy logic controller method has been carried out which has result shown the effectiveness of Fuzzy controller to draw more energy, decreases fluctuations and fast response, against change in variable weather condition. The final result show the fuzzy logic controller exhibits a better performance compared to Incremental conductance.
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Author(s): Mukesh Kumar, Dr S.R.Kapoor, Rajkumar Nagar, Amit Verma.
Photovoltaic System, Maximum Power Point Tracking, Boost Converter, Incremental Conductance Algorithm, Fuzzy logic Controller., Electronic Materials,Electric Drivers and Application.