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- W4385202277 abstract "A single-phase Photovoltaic (PV) system that is based on an Maximum Power Point Tracking (MPPT) and use the perturb and observe algorithm to track the extreme power point. As a consequence of interactions between a variety of semiconductors and changing loads, the input source suffers from power quality concerns such as harmonic distortion, voltage sags, and voltage spikes. These issues are caused by fluctuating loads. As a method for enhancing the excellence of the electricity, the Grid-connected PV and Neural Network System was suggested as a solution. The Perturb and observe algorithm (P&O)-based MPPT technology offers a solution to the issue of partial shadowing, in addition to other unbalanced components that are problematic for PV arrays. Due to the fact that each PV cell in the system’s two panels is identical, it" @default.
- W4385202277 created "2023-07-25" @default.
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- W4385202277 date "2023-01-01" @default.
- W4385202277 modified "2023-10-07" @default.
- W4385202277 title "Back Propagation Neural Network PO-based Grid Connected Dual PV Management and Reliability Improvement" @default.
- W4385202277 doi "https://doi.org/10.58599/ijsmien.2023.1502" @default.
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