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- W4378194633 abstract "This paper mainly entitles the issues related to power quality problems which can be mitigated by using adaptive neural network control algorithm. This algorithm has increased the nature of complexity and greater computational time. Neural Network based controllers greatly improve the performance of the DSTATCOM. This algorithm is used to generate the load currents’ wattful and wattless current components for reactive power compensation and harmonic removal at the point of common coupling (PCC). The Adaline (Adaptive linear element) based neural network is employed for the VSC based DSTATCOM. In the MATLAB/Simulink environment, this system was modelled and simulated." @default.
- W4378194633 created "2023-05-26" @default.
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- W4378194633 date "2023-01-01" @default.
- W4378194633 modified "2023-09-27" @default.
- W4378194633 title "Neural Network Based DSTATCOM Control for Power Quality Enhancement" @default.
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- W4378194633 doi "https://doi.org/10.1007/978-981-99-0236-1_25" @default.
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