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Fuzzy Logic-based Power Optimizer for Solar Photovoltaic Power Systems

Revathy Subbiah Rajaram, Padaga Kumar Babu, Kirubakaran Victor, Raja Kandasamy, Ganeshan Pushpanathan, Vivek Sivakumar, Ramshankar Pushpanathan, Mohanavel Vinayagam and Sachuthananthan Barathy

Pertanika Journal of Science & Technology, Volume 32, Issue S1, December 2024


Keywords: Fuzzy logic, machine language, MATLAB, photovoltaics, solar energy

Published on: 19 January 2024

Solar photovoltaics has become the most popular renewable energy source due to its simplicity in installation and maintenance. However, the dependence on the availability of solar energy at the instant makes its operation non-linear. Various optimizing solutions are proposed to rule out this disadvantage. This paper dwells on a machine language approach to solve this problem. A maximal tracker for power points relies on fuzzy logic control. An embedded power optimizer is designed and tested under different environmental conditions through simulation. The results presented allow researchers to test various artificial intelligence techniques for renewable energy extraction processes.

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