Abstract
One of the most widely used energy technologies is photovoltaics. However, because sun irradiation is irregular, getting the most electricity out of a photovoltaic system is difficult. Due to the nonlinear characteristics of power obtained from solar modules, it is difficult to retrieve maximum power at a single point. To obtain maximum power output at single point, there is a requirement of maximum power point tracking mechanism. The goal of this research is to create an accurate and efficient MPPT algorithm for peak power extraction based on artificial intelligence (AI). In this study, a photovoltaic system is modelled and simulated in MATLAB using perturb and observe and the proposed fuzzy logic based controller. It was observed as compared to P&O under the same operating conditions, the suggested controller is faster, more accurate with less oscillation around the maximum power, and has more peak power. The proposed approach gave results that were very close to the data sheets provided by manufacturers of solar modules.
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Mughal, S.N., Hassan, M.S., Sood, Y.R., Jarial, R.K. (2022). Modelling and Performance Analysis Using Fuzzy Logic MPPT Controller for a Photovoltaic System Under Various Operating Conditions. In: Tomar, A., Malik, H., Kumar, P., Iqbal, A. (eds) Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication. Lecture Notes in Electrical Engineering, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-19-2828-4_30
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DOI: https://doi.org/10.1007/978-981-19-2828-4_30
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