High-Performance Algorithms To Ascertain The Power Generation In A Photovoltaic System Using Fuzzy Logic Controller

This paper is based on the solar photovoltaic (PV) power production, implementing Fuzzy Logic controller (FLC) and a Boost converter. Rapid change in the climatic conditions results in variation of irradiation which affects the power generated by the solar panels. The conventional controllers are inadequate in these operating conditions. The FLC-MPPT deals with the voltage control approach of the power converter to adapt the duty cycle by incorporating discrete PI controller. The input reference voltage is appropriately perturbed with variable steps till the maximum power is reached. Due to the continuous variation in the availability of solar power, the FLC generates control pulses, based on the irradiation to switch on the MOSFET device. The proposed control scheme operates in the stable zone throughout the entire region of the PV panel and consequently eradicates the fluctuations about the MPP. A 20-Watt architype system has been used to study the performance of the proposed control system. The improvement in the working of MPPT after implementation of FLC is verified under various operating levels of irradiation. The maximum global efficiency was achieved suggesting that the fuzzy logic controller provides a smoother output waveform. In order to validate the paybacks underlying the application of the proposed unified system, the design of a small prototype of MPPT and its experimental outputs are provided here on the basis of Simulink model.