2014
DOI: 10.1049/iet-pel.2013.0166
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Neural network controlled grid interfaced solar photovoltaic power generation

Abstract: This study deals with a NN (neural-network)-based control algorithm of a grid interfaced SPV (solar photovoltaic) generating system. The proposed grid interfaced SPV generating system utilises a NN control algorithm-based on the LMS (least mean-square), known as Adaline (adaptive linear element) to estimate reference grid currents. A DC-DC boost converter is used for achieving the maximum power point tracking between SPV and DC bus of four-leg VSC (voltage source converter) interfaced to a three-phase, four-wi… Show more

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Cited by 82 publications
(41 citation statements)
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“…This section describes the history of grid-tied PV system with recent progress in the industry and academia [1][2][3][4][5][6][7][8][9]. In literature, different modelling methods of solar systems are available.…”
Section: State Of Artmentioning
confidence: 99%
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“…This section describes the history of grid-tied PV system with recent progress in the industry and academia [1][2][3][4][5][6][7][8][9]. In literature, different modelling methods of solar systems are available.…”
Section: State Of Artmentioning
confidence: 99%
“…Parameters are determined with the help of some assumptions made by the researchers [15][16][17][18][19] (6) Define k = I sc /I o and substitute Equation (6) in (5), we get…”
Section: Mathematical Modellingmentioning
confidence: 99%
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“…A single phase two stage grid tied PV generation system with constant DC link voltage is shown in [18]. Moreover, the three phase grid tied PV generation system with constant DC link voltage control is also shown in [19]- [20]. The DC link voltage of VSC is kept constant (higher than peak of maximum allowable line voltage) using a PI controller [19]- [20].…”
Section: Introductionmentioning
confidence: 99%