Approach with Fuzzy Data Sets in Utility-Connected Solar Energy Systems for MPPT

In this paper, the application of the fuzzy logic approach in peak power tracking for utility-connected solar energy systems is unveiled. The fundamental aim of this paper is to employ the fuzzy-based approach efficiently for peak power tracking, enabling accurate monitoring of the maximum power in a photovoltaic system. This utility-connected solar energy system comprises solar panels, a DC/DC boost converter (for boosting the voltage levels of PV panels), a fuzzy-based power tracking controller, an inverter (for converting DC power into AC power), and the utility grid. This system employs two separate controllers: a fuzzy-based controller for precise tracking of PV power and a Synchronous reference frame phase locked loop controller for synchronizing the utility grid with the inverter to prevent any operational issues. The focus here is on optimizing the peak power tracking controller to fully utilize the potential of solar energy. The effectiveness of the proposed approach is demonstrated by comparing it with traditional peak power tracking algorithms. The simulation studies are performed in MATLAB Simulink(2023b) software, with a 100 kilo-watt power level at a nominal grid frequency. The results are presented at the end to demonstrate that the fuzzy-based method reduces oscillations during power point tracking and exhibits a faster response compared to traditional hill climbing techniques, particularly in scenarios with swiftly changing operating conditions.