2021
DOI: 10.1080/00051144.2021.1985703
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Convolutional Neural Network-based harmonic mitigation technique for an adaptive shunt active power filter

Abstract: Owing to the use of nonlinear loads in the distribution side, there are power quality issues such as voltage swell/sag, harmonics, flickers, voltage imbalance, and outage. The harmonics in power system affect the quality of power and hence a suitable methodology is vital to mitigate the harmonics and compensation of reactive power. In this paper, CNN (Convolutional Neural Network)-based harmonic mitigation is performed. A 5-level cascaded H-bridge inverter is employed as a shunt active filter in which the refe… Show more

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Cited by 10 publications
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References 27 publications
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