Fuzzy Controlled MPPT to Grid Connected PV Systems

¹ Department of EEE, Vignan Institute of Technology and Science, Yadadri - Bhuvanagiri, India
² Department of EEE, Vignan Institute of Technology and Science, Yadadri - Bhuvanagiri, India
³ Department of EEE, CVR College of Engineering, Hyderabad, India
⁴ Department of EEE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India
⁵ Department of EEE, G.Narayanamma Institute of Technology and Science, Hyderabad, India

^* Corresponding author: 83.harsha@gmail.com

Abstract

Solar photovoltaic (PV) energy stands as a predominant source of renewable power. The efficiency of energy conversion from sunlight via photovoltaic panels is subject to fluctuation due to varying solar intensity and radiation levels. To optimize the power output, the Maximum Power Point Tracking (MPPT) technique is pivotal. Among the various methods available, high- performance soft computing techniques serve as robust MPPT strategies. This paper introduces a Fuzzy Logic Controller (FLC)-based MPPT system for grid-connected PV systems operating under both steady and variable climatic conditions. The FLC-based MPPT system adeptly adjusts the PV system’s voltage, current, and power settings to harness the maximum feasible power output from the photovoltaic panels. Simulation outcomes demonstrate that the FLC- based MPPT system outperforms the conventional Perturb and Observe (P&O) MPPT method. The employment of a fuzzy logic-controlled grid connection for PV systems heralds significant enhancements in the efficiency, stability, and reliability of integrating renewable energy into the electrical grid. Leveraging fuzzy logic algorithms, this technique allows for dynamic power management, precise voltage regulation, and enhanced frequency stability, effectively mitigating the issues inherent to intermittent solar power. A notable strength of this approach is its inherent flexibility, adapting in real-time to fluctuating environmental and grid conditions, thereby optimizing system performance across diverse scenarios. Furthermore, the implementation of a fuzzy logic- controlled grid connection ensures smooth integration of PV systems into the grid, reducing risks associated with grid disturbances, voltage fluctuations, and frequency anomalies. This strategy not only bolsters the reliability of renewable energy sources but also enhances grid resilience against variable demand and generation dynamics. In summary, the integration of fuzzy logic-controlled connections presents a forward-thinking solution that significantly advances PV system integration into the grid, yielding marked improvements in efficiency, reliability, and overall grid stability. Fuzzy logic-based MPPT offers a robust and adaptable approach to tracking the maximum power point in grid-connected PV systems, overcoming some of the limitations of traditional methods like P&O.