INNOVATIVE MPPT TRACKING METHODS FOR COMBINED WIND AND PHOTOVOLTAIC ENERGY SYSTEM

Traditional methods used to track the maximum power point in wind energy conversion systems (WECS) face several challenges. One of the most widely used techniques is the perturb and observe (P&O) algorithm, which monitors and records the highest possible power point. However, a major limitation of this algorithm is the difficulty in selecting an optimal step size. To address this issue, this study proposes a novel approach that integrates fuzzy logic control with the trapezoidal rule. The proposed method is compared with two existing techniques: the trapezoidal rule-based P&O (TRPO) algorithm and the conventional P&O method. MATLAB/Simulink simulations are used to evaluate the performance of all three algorithms under randomly varying wind speeds. The results demonstrate that the proposed approach significantly reduces power oscillations while enhancing DC output current, voltage, and power. Additionally, this study extends the methodology by incorporating a wind-solar hybrid system with an artificial neural network (ANN) model, further improving the efficiency and stability of renewable energy generation.