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Transient Stability Enhancement Using Sliding Mode Based NeuroFuzzy Control for SSSC

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Intelligent Systems and Applications (IntelliSys 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 751))

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Abstract

Voltage Source Converters (VSCs) based Flexible AC Transmission Systems (FACTS) are popular for speedy regulation of different network parameters, thus being a strong candidate for transient stability enhancement by damping Low Frequency Oscillations (LFOs). Static Synchronous Series Compensator (SSSC) is a series FACTS controller with built in capability to absorb or deliver reactive power. SSSC may damp LFOs by installation of efficient supplementary damping control (SDC). Due to recent advancements in the field of Soft Computing (SC), there is a growing realization of their contribution to damping control design for FACTS. The direct focus of this chapter is to exploit the potential of a hybrid control, obtained from assorted domains such as NeuroFuzzy and Sliding Mode Control (SMC). SMC technique is the most lucrative choice to design SDC due to its optimal performance, delivery in critical applications with low complexity and high precision. The contributions of this framework are the damping performance improvement for single and multimachine power system with fast convergence speed.

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Authors and Affiliations

  1. Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Rabiah Badar & Jan Shair

Authors
  1. Rabiah Badar
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  2. Jan Shair
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Corresponding author

Correspondence to Rabiah Badar .

Editor information

Editors and Affiliations

  1. School of Computing, Ulster University at Jordanstown, Newtownabbey, County Antrim, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, United Kingdom

    Rahul Bhatia

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Badar, R., Shair, J. (2018). Transient Stability Enhancement Using Sliding Mode Based NeuroFuzzy Control for SSSC. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2016. Studies in Computational Intelligence, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-69266-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-69266-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69265-4

  • Online ISBN: 978-3-319-69266-1

  • eBook Packages: EngineeringEngineering (R0)

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