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Fuzzy Logic System Based MPPT to Improve the Accuracy, Reliability and Power Quality of Grid Integrated Photovoltaic (PV) System

Mayank Singh Parihar, Dr. Vaibhav Sharma


Abstract: In this piece of research, a Fuzzy logic based system is designed for output voltage and frequency control of a Grid Integrated PV System. Photovoltaic (PV) energy generation system provides the opportunity to capture more power than other turbines. Distributed power generation systems based on renewable energy sources are attracting the market. In this regard, grid-connected photovoltaic (PV) plants are becoming a common technology to generate energy and its penetration level is gradually increasing. The micro grid concept has been proposed as a solution to the problem of integrating several power generations without disturbing the utility, especially when renewable energy sources are utilized. The fluctuations in Voltage can be regulated if reactive power is maintained properly. For this, fuzzy logic controller based maximum power point tracking (MPPT) method is proposed for photovoltaic systems. The proposed fuzzy logic controller has two inputs and one output. This proposed controller maximizes the power tracker for photovoltaic system with the use of fuzzy logic.

Keywords: fuzzy logic, Maximum power point tracker (MPPT), Photovoltaic (PV), Boost converter, Power Quality, Mat lab/Stimulant,

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