Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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Bio-Inspired Optimization Algorithms Based Design of Robust Controller for Single Machine Power System Stabilizer

Authors
Manogna Bojugu1, Satish Kumar Injeti1, *, Dasu Butti2
1Electrical Engineering Department, NIT Warangal, Hanumakonda, 506004, Telangana, India
2Faculty of Electrical and Electronics Engineering Department, SRGEC (A), Gudlavalleru, 521356, A.P., India
*Corresponding author. Email: drinjetisatishkumar@nitw.ac.in
Corresponding Author
Satish Kumar Injeti
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_14How to use a DOI?
Keywords
Bio-inspired Optimization; Power System Stabilizer; SMIB; PID controller; Dynamic Stability Improvement
Abstract

A power system stabilizer (PSS) is a device that provides additional damping torque to the power system during the mitigation of oscillations caused by various sorts of disturbances. Bio-Inspired Optimization Algorithms are used to construct PSS on a Single Machine Infinite Bus (SMIB) system and two areas, respectively, in this research. The study examines four different multi-machine generator systems working under a variety of disturbances. The SMIB system uses ISE as an objective function, while the Multimachine system uses Eigen value shifting. Modified Heffron-Phillips (MHP) model is used in the SMIB system to lower the system complexity and processing time. The SMIB system’s response time is improved by integrating a PID controller with MPSS. Particle swarm optimization (PSO), whale optimization (WO) and butterfly optimization (BO) techniques are used to find the best parameters for PSS and PID. A thorough evaluation of the MPSS, MPSS-PID, and other optimization algorithms’ performance is offered based on the simulation findings.

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 International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
978-94-6463-074-9
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_14How 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  - Manogna Bojugu
AU  - Satish Kumar Injeti
AU  - Dasu Butti
PY  - 2022
DA  - 2022/12/05
TI  - Bio-Inspired Optimization Algorithms Based Design of Robust Controller for Single Machine Power System Stabilizer
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 148
EP  - 168
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_14
DO  - 10.2991/978-94-6463-074-9_14
ID  - Bojugu2022
ER  -