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VSC-Based DSTATCOM for PQ Improvement: A Deep-Learning Approach Cover

VSC-Based DSTATCOM for PQ Improvement: A Deep-Learning Approach

Power Electronics and Drives
Volume 7 (2022): Issue 1 (January 2022)
By: Mrutyunjaya Mangaraj,  Jogeswara Sabat,  Ajit Kumar Barisal,  K. Subba Ramaiah and  Gudivada Eswara Rao  
Open Access
|Aug 2022

Authors

Mrutyunjaya Mangaraj

Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India

Jogeswara Sabat

jogesh.electrical@gmail.com

Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India

Ajit Kumar Barisal

Department of Electrical Engineering, Odisha University of Technology and Research, Bhubaneswar, India

K. Subba Ramaiah

Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India

Gudivada Eswara Rao

Department of Electrical and Electronics Engineering, Vignan Institute of Technology and Management, Berhampur, India
DOI: https://doi.org/10.2478/pead-2022-0013 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Journal RSS Feed
Language: English
Page range: 174 - 186
Submitted on: Apr 17, 2022
Accepted on: Jun 29, 2022
Published on: Aug 31, 2022
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
DL-Approach,
DSTATCOM,
ALMS and PQ
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2022 Mrutyunjaya Mangaraj, Jogeswara Sabat, Ajit Kumar Barisal, K. Subba Ramaiah, Gudivada Eswara Rao, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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