Enhancing Photovoltaic Efficiency through a Novel Meta-heuristic Algorithm for Maximum Power Point Tracking

Photovoltaic (PV) systems are essential, sustainable, and eco-friendly renewable energy sources. However, their peak efficiency depends on effective control mechanisms. This research seeks to enhance the efficiency of energy generation by photovoltaic (PV) modules by implementing a novel Red-tailed Hawk algorithm (RTH) for Maximum Power Point Tracking (MPPT). MATLAB simulations have been performed to assess the efficacy of the Red-tailed Hawk algorithm in monitoring the power output of the PV system. The simulation results exhibit the encouraging potential of the proposed algorithm. Additionally, a comparative analysis with Particle Swarm Optimization (PSO), Cuckoo Search (CS), and Perturb and Observe (P&O) methods highlights the superior performance of the Red-tailed Hawk algorithm. The proposed algorithm shows potential as an effective MPPT technique for photovoltaic systems, offering improved performance compared to existing methods.