Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Biogeography Based Optimization for Enhancing Dynamic Performance of Dynamic Voltage Restorer in Mitigating Power Quality Problems

Authors
S. Asha Kiranmai1, 2, *, A. Jaya Laxmi3
1Electrical Engineering, Osmania University College of Engineering, Hyderabad, India
2Electrical and Electronics Engineering, Bhoj Reddy Engineering College for Women, Hyderabad, India
3Electrical and Electronics Engineering and Principal, JNTUH University College of Engineering, Science and Technology, Hyderabad, India
*Corresponding author. Email: asha_ks2006@yahoo.co.in
Corresponding Author
S. Asha Kiranmai
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_56How to use a DOI?
Keywords
Biogeography Based Optimization; Dynamic Voltage Restorer; Dynamic performance; Mitigation; PI controller gains; Power quality problems
Abstract

The concern for good power quality is increasing day by day due to great damage caused by power quality problems in terms of scrambling of data, malfunctioning and failure of equipment of public or industrial facilities. To reduce these effects, there is a requirement to improve the quality of power, by using fast acting custom power devices with enhanced dynamic performance in the distribution system. This paper mainly concentrates on the mitigation of frequently occurring power quality problems of voltage sag, voltage swell, voltage unbalance as well as interruption. For this, one of the custom power devices, Dynamic Voltage Restorer is used. Biogeography Based Optimization based PI controllers are implemented for the device to improve its dynamic response making it faster with less transients in mitigating the problems. MATLAB simulations are carried out for conditions of voltage sag, voltage swell, voltage unbalance as well as interruption and load voltage dynamics with Dynamic Voltage Restorer using Biogeography Based Optimization based PI controllers are compared with conventional PI controllers and found better results in terms of minimum, maximum peak voltages as well as settling time.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_56How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. Asha Kiranmai
AU  - A. Jaya Laxmi
PY  - 2023
DA  - 2023/11/09
TI  - Biogeography Based Optimization for Enhancing Dynamic Performance of Dynamic Voltage Restorer in Mitigating Power Quality Problems
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 537
EP  - 547
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_56
DO  - 10.2991/978-94-6463-252-1_56
ID  - Kiranmai2023
ER  -