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Dynamic Stability Margin Evaluation of Multi-machine Power Systems Using Genetic Algorithm

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Book cover International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 628))

Abstract

This paper presents a method to find the dynamic stability margin of power system using genetic algorithm. Power systems are subjected to wide range of operating conditions. Modern power systems are equipped with fast-acting protective devices for transient stability problems. Hence, power systems are operated above the transient stability limit. The dynamic behaviour of system can be evaluated using small signal stability analysis. The maximum loading to which the system can be subjected can be obtained by observing the eigenvalue variations of the system under different loading conditions. The loading for which system exhibits a pair of imaginary eigenvalues is the maximum loading limit. Beyond this limit, the system will become unstable. The loading for which the power system exhibits imaginary eigenvalues is evaluated by using genetic algorithm. The dynamic stability margin is evaluated for a 3-machine 9-bus system. The efficacy of the proposed method is tested for the power system including conventional power system stabilizers (CPSS).

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Author information

Authors and Affiliations

  1. GITAM University, Visakhapatnam, India

    I. E. S. Naidu & A. Chandra Sekhar

  2. A.U.C.E.(A), Andhra University, Visakhapatnam, India

    K. R. Sudha

Authors
  1. I. E. S. Naidu
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  2. K. R. Sudha
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  3. A. Chandra Sekhar
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Corresponding author

Correspondence to I. E. S. Naidu .

Editor information

Editors and Affiliations

  1. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    M. Sreenivasa Reddy

  2. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    K. Viswanath

  3. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    Shiva Prasad K.M.

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Naidu, I.E.S., Sudha, K.R., Chandra Sekhar, A. (2018). Dynamic Stability Margin Evaluation of Multi-machine Power Systems Using Genetic Algorithm. In: Reddy, M., Viswanath, K., K.M., S. (eds) International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications . Advances in Intelligent Systems and Computing, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-5272-9_1

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  • DOI: https://doi.org/10.1007/978-981-10-5272-9_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5271-2

  • Online ISBN: 978-981-10-5272-9

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