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• W4223446871 abstract "In this paper, a single layer Recurrent Neural Network (RNN) algorithm has been proposed for the control of single-stage three-phase grid integrated solar photovoltaic (PV) system. Voltage Source converter (VSC) has been controlled for overcoming power quality problems in distribution systems viz. harmonic mitigation, active and reactive power compensation, load balancing etc. in three-phase grid connected PV systems. The PV array has been designed such that it delivers maximum power to the grid via VSC. The proposed algorithm has been implemented in MATLAB/Simulink and tested on hardware. Simulation and experimental results have been shown for the verification of the proposed algorithm under steady-state and dynamic conditions. These results conform to standard IEEE-1547 and the harmonics in grid currents are reduced to < 5% for the grid-connected PV system." @default.
• W4223446871 created "2022-04-14" @default.
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• W4223446871 date "2022-04-12" @default.
• W4223446871 modified "2023-10-16" @default.
• W4223446871 title "RNN based Control Algorithm for Power Quality Improvement in PV Integrated Distribution System" @default.
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• W4223446871 doi "https://doi.org/10.1080/15325008.2022.2049646" @default.
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