Cloud-Computing and Fuzzy-PI Based Maximum Power Point Tracking for Optimizing Photovoltaic System Performance

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Shoeb Peer Syed, M. Devi Priya, P.V.S.N Jyothi, Shabnam Rahmani

Abstract

A fluffy PI consolidated control calculation for the greatest power point following (MPPT) of photovoltaic (PV) exhibit is proposed with inclusion of cloud computing in this paper. Focusing on the impediment of single PI or fluffy control calculation for MPPT, conventional PI and fluffy control calculation is joined to the fluffy PI calculation. In the joined calculation, while the following blunder is perfect, a fluffy regulator is utilized to change rapidly and acknowledge control power, and while the following mistake is little, the regulator is changed to a PI calculation to reduce the consistent state blunder. Reenactment results show the fast and accuracy of MPPT are accomplished with the fluffy PI joined calculation. In the meantime, in the event that the natural condition changes, the PV with the joined calculation can arrive at another greatest power point with better following execution and steadiness, which is checked by recreation brings about this paper.

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How to Cite
Cloud-Computing and Fuzzy-PI Based Maximum Power Point Tracking for Optimizing Photovoltaic System Performance. (2023). Dandao Xuebao Journal of Ballistics, 35(3), 44-49. https://doi.org/10.52783/dxjb.v35.129
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How to Cite

Cloud-Computing and Fuzzy-PI Based Maximum Power Point Tracking for Optimizing Photovoltaic System Performance. (2023). Dandao Xuebao Journal of Ballistics, 35(3), 44-49. https://doi.org/10.52783/dxjb.v35.129