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Multi-machine Power System Stabilizer Design Using Grey Wolf Optimization

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Proceedings of International Conference on Computational Intelligence and Emerging Power System

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

This paper presents exploration of a new bio-inspired meta-heuristic technique Grey Wolf Optimization (GWO) for designing of robust and optimal Power System Stabilizer (PSS) parameters of three-machine, nine-bus Western Systems Coordinating Council Power System (WSCCPS), and the performance is noticed by comparing with Harmony Search Optimization (HSO), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques based PSSs. For simultaneous control of real part of eigenvalue and damping ratio, a multi-objective function based on eigenvalue is used to die out unstable and/or lightly damped low frequency oscillations by moving them to a specific D-shape stable zone in the s-plane. The PSSs designed using HSO, PSO, GA and GWO are named as HSOPSS, PSOPSS, GAPSS and GWOPSS, respectively. The performance of designed GWOPSSs is realized by non-linear simulations, eigenvalues analysis and performance indices for different severe disturbances under various operating cases and compared with other designed PSSs. The robustness of designed GWOPSS is evaluated by testing them on unnoticed operating cases, and performance is compared with that of obtained by HSO, PSO and GA techniques. It is appeared that the GWOPSS illustrates the superior performance than other designed PSSs.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, SKIT, Jaipur, Rajastan, India

    Ravi Kant Sharma, Dhanraj Chitara & Shashi Raj

  2. Department of Electrical Engineering, MNIT, Jaipur, Rajastan, India

    K. R. Niazi & Anil Swarnkar

Authors
  1. Ravi Kant Sharma
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  2. Dhanraj Chitara
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  3. Shashi Raj
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  4. K. R. Niazi
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  5. Anil Swarnkar
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Ramesh C. Bansal

  2. University of Bordeaux, Talence Cedex, France

    Akka Zemmari

  3. Department of Electrical Engineering, Engineering College Ajmer, Ajmer, India

    K. G. Sharma

  4. Department of Computer Science and Engineering, Engineering College Ajmer, Ajmer, India

    Jyoti Gajrani

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, R.K., Chitara, D., Raj, S., Niazi, K.R., Swarnkar, A. (2022). Multi-machine Power System Stabilizer Design Using Grey Wolf Optimization. In: Bansal, R.C., Zemmari, A., Sharma, K.G., Gajrani, J. (eds) Proceedings of International Conference on Computational Intelligence and Emerging Power System. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-4103-9_28

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