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@article{182136,
        author = {S.Anibabu and P.Mahesh and R.S.R. Krishnam Naidu},
        title = {Next-Generation MPPT Algorithms for Integrated Wind and Photovoltaic Power Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1155-1168},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182136},
        abstract = {Conventional maximum power point tracking (MPPT) techniques in wind energy conversion systems (WECS), such as the perturb and observe (P&O) algorithm, often struggle with dynamic response and steady-state oscillations due to fixed step size limitations. This paper presents an enhanced MPPT approach that combines fuzzy logic control with the trapezoidal rule to improve tracking performance. The proposed method is benchmarked against the conventional P&O and trapezoidal rule-based P&O (TRPO) algorithms using MATLAB/Simulink under stochastic wind profiles. Simulation results reveal that the hybrid fuzzy–trapezoidal method effectively reduces power oscillations and enhances the stability and efficiency of power output. Additionally, the methodology is extended to a wind–solar hybrid energy system by integrating an artificial neural network (ANN)-based controller. This hybrid system demonstrates improved performance in terms of maximum power extraction, stability, and adaptability to fluctuating environmental conditions},
        keywords = {},
        month = {July},
        }