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- W4377699467 abstract "In this paper, an artificial neural network technique (ANN) is used for tracking of maximum power point (TMPP) of a solar photovoltaic panel based power supply (SPPBPS). A boost converter is interfaced between the photovoltaic (PV) panel and DC link of single-phase voltage source inverter (VSI). A synchronous reference Frame (SRF)-Phase-locked loop (PLL) is used to synchronize the VSI with the grid supply. The VSI control maintains constant DC bus voltage. An ANN based TMPP is proposed for double stage 1-phase VSI with LCL filter to ensure stable overall system performance, and controllability. A proportional resonant controller with harmonic compensator (HC) controls VSI current. The proposed system behavior is observed under real dynamic situations and found satisfactory." @default.
- W4377699467 created "2023-05-24" @default.
- W4377699467 creator A5052966888 @default.
- W4377699467 creator A5053693139 @default.
- W4377699467 date "2023-04-07" @default.
- W4377699467 modified "2023-10-17" @default.
- W4377699467 title "Artificial Neural Network Based Double Stage Grid Connected Solar Photovoltaic Supply System" @default.
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- W4377699467 doi "https://doi.org/10.1109/i2ct57861.2023.10126355" @default.
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