Open Access

ARTICLE

ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement

Y. Alexander Jeevanantham^1,*, S. Srinath²

1 Department of EEE, R. M. K. Engineering College, Chennai, 601206, India
2 Department of EEE, Velammal Engineering College, Chennai, 600066, India

* Corresponding Author: Y. Alexander Jeevanantham. Email:

Intelligent Automation & Soft Computing 2022, 33(2), 909-921. https://doi.org/10.32604/iasc.2022.022907

Received 22 August 2021; Accepted 03 November 2021; Issue published 08 February 2022

Abstract

A unified power quality conditioner (UPQC) plays a crucial role in the Power quality improvement of a power system. In this paper, a reduced switch multilevel inverter is with artificial neural network, soft computing technique control is proposed for UPQC. This proposed topology is employed for the mitigation of various power quality issues such as voltage sag, voltage swell, power factor, harmonics, and restoration time of voltage compensation. To show the enriched performance of the proposed topology comparative analysis is made with other two topologies of UPQC such as Conventional UPQC and UPQC using cascaded H bridge (CHB) five-level Inverter. All configurations are analysed using Matlab with variable nonlinear loads to analyse the performance during the conditions mentioned above.

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Keywords

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