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

Robust Stability Constraints for Optimal Lead Lag PSS Design Using Interval Approach

Authors
A. S. V. Vijaya Lakshmi1, *, Siva Kumar Mangipudi2, Ramalinga Raju Manyala3
1G.V.P College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
2Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India
3JNTU Kakinada, Kakinada, Andhra Pradesh, India
*Corresponding author. Email: vijayalakshmi.asv@gmail.com
Corresponding Author
A. S. V. Vijaya Lakshmi
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_15How to use a DOI?
Keywords
Uncertainty; SMIB; Interval system; lead lag PSS; Jaya algorithm
Abstract

Electric vehicles have become much more common in our daily lives as a result of technological advancements. This may cause tremendous growth in the consumption of electrical energy. The globe is moving toward the alternative energy generation as a result of global warming and the depletion of fossil resources. Hence ingress of renewable energy into the power sector is inevitable resulting in unavoidable power system uncertainty. Consequently, synchronous generators must function in a wide range of unpredictably changing operational conditions. Hence, tuning of Power System Stabilizer (PSS) parameters over a wide range is required. This research provides a new way for constructing a lead-lag PSS that can effectively stabilize the system under wide operational scenarios. The PSS parameters are tuned using the simple stability conditions proposed to ensure power system stability, and the interval coefficients quantify the uncertainty in the system parameters under practical situations. To improve the proposed lead-lag PSS’s performance, an objective function is defined. The Jaya algorithm is used to fine-tune the PSS parameters. The robustness of the proposed PSS design is confirmed by a case study of a single machine infinite bus (SMIB) power system. Simulation results reveal that the suggested lead-lag PSS is more successful than other well-known controllers in the literature when the system is induced with a step load disturbance for a wide set of operational states.

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
10.2991/978-94-6463-074-9_15
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_15How 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

TY  - CONF
AU  - A. S. V. Vijaya Lakshmi
AU  - Siva Kumar Mangipudi
AU  - Ramalinga Raju Manyala
PY  - 2022
DA  - 2022/12/05
TI  - Robust Stability Constraints for Optimal Lead Lag PSS Design Using Interval Approach
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 169
EP  - 179
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_15
DO  - 10.2991/978-94-6463-074-9_15
ID  - Lakshmi2022
ER  -