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Power Quality Improvement in 3-Phase Power System Using Artificial Neural Network Based Hybrid Filter

Publication Type : Journal Article

Publisher : JCTN

Source : JCTN, Volume 17, Issue 1, p.396-401 (2020)

Url : https://www.researchgate.net/publication/339482546_Power_Quality_Improvement_in_3-Phase_Power_System_Using_Artificial_Neural_Network_Based_Hybrid_Filter

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2020

Abstract : Harmonic-distortion is a serious problem in power systems involving linear and non-linear loads. Adding a passive-filter to the system is the most popular choice to reduce issues due to harmonic distortion. Passive-filter cannot eliminate all the harmonic components. A hybrid-filter, in which shunt active filter is serially integrated with shunt passive filter can provide better solution to the problems causing due to harmonic distortions. The paper proposes a hybrid filter with Artificial Neural Network (ANN) based control scheme. A detailed study is done by developing a Simulink model for the proposed. Here in this paper, % Total-Harmonic-Distortion (THD) of compensated load-current is referred as a performance measure of the system. Also, a controller based on ANN is fabricated for the proposed scheme and through analysis in depth is carried out, this controller performance is found comparatively satisfactory.

Cite this Research Publication : Manitha P. V., ,, Balakumar, H., and V, B., “Power Quality Improvement in 3-Phase Power System Using Artificial Neural Network Based Hybrid Filter”, JCTN, vol. 17, no. 1, pp. 396-401, 2020.

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