Design and Simulation of Fuzzy Logic Controller for Maximum Power Point Tracking in Solar PV System

Autor: Sonawane Madhuri, S., Dharaskar Vedika, R., Jadhav Rashmi, H., Wagh Priyanka, Y.
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6874321
Popis: This project proposes a microcontroller- based control method for the maximum power point tracking (MPPT) of a photovoltaic (PV) system under variable temperature and insolation conditions. Fuzzy Logic algorithm is implemented to improve the performance and to reduce the tracking time. To maximize efficiency, PV systems use a MPPT to constantly extract the highest power that can be produced by a solar panel and then deliver it to load. MPPT finds and maintains operations at the maximum power point (MPP) using a tracking algorithm during various weather conditions. Fuzzy logic controllers are preferred to tolerate the nonlinear behaviour of PV module. The study system includes a PV array, a PWM controlled DC-DC converter and sensor circuits. The designed controller regulates the converter output voltage by varying duty cycle of the PWM signal using MPP algorithm and it maximizes the output power extracted from PV array.
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Databáze: OpenAIRE
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