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PMSG Based Wind Energy Conversion System Using Intelligent MPPT with HGRSC Converter

S. Kirubadevi*, S. Sutha

University College of Engineering, Dindigul, Tamilnadu, India

* Corresponding Author: S. Kirubadevi. Email: email

Intelligent Automation & Soft Computing 2022, 34(2), 895-910. https://doi.org/10.32604/iasc.2022.025395

Abstract

Wind power conversion systems play a significant position in grid-coupled renewable source networks. In this paper, a permanent magnet based synchronous alternator type wind energy scheme is considered for analysis. The enhanced performance of wind power conversion could be reached by improving maximum power point tracking (MPPT) and by modernising the control circuit of the power electronic circuit. The main task is to enrich its performance level by proposing fuzzy gain scheduling (FGS) based optimal torque management for maximum power point tracking. In addition to the improved MPPT, this article analyses different topologies of direct current–direct current (DC–DC) converters such as boost converter and high-gain resonant switched capacitor converter. Comparative simulation analysis of converters with conventional optimal torque control and proposed FGS-based optimal torque control using MATLAB/simulink are presented with various wind speeds.

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APA Style
Kirubadevi, S., Sutha, S. (2022). PMSG based wind energy conversion system using intelligent MPPT with HGRSC converter. Intelligent Automation & Soft Computing, 34(2), 895-910. https://doi.org/10.32604/iasc.2022.025395
Vancouver Style
Kirubadevi S, Sutha S. PMSG based wind energy conversion system using intelligent MPPT with HGRSC converter. Intell Automat Soft Comput . 2022;34(2):895-910 https://doi.org/10.32604/iasc.2022.025395
IEEE Style
S. Kirubadevi and S. Sutha, “PMSG Based Wind Energy Conversion System Using Intelligent MPPT with HGRSC Converter,” Intell. Automat. Soft Comput. , vol. 34, no. 2, pp. 895-910, 2022. https://doi.org/10.32604/iasc.2022.025395



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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