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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2016: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 pp 91–106Cite as

Adaptive NeuroFuzzy Sliding Mode Based Damping Control for SSSC

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

Abstract

Static Synchronous Series Compensator (SSSC), a series connected Flexible AC Transmission System (FACTS) controller equipped with supplementary control has proven ability to damp Low Frequency Oscillations (LFOs), without intervening the primary objective of power flow control. In this work, a novel SSSC-based auxiliary control scheme is proposed by synergistic integration of Sliding Mode Control (SMC) and NeuroFuzzy Takagi-Sugeno-Kang (TSK) structure to form an Adaptive NeuroFuzzy Sliding Mode Control (ANFSMC). Backpropagation algorithm utilizing gradient descent optimization technique has been used to update parameters of the proposed controller. The effectiveness of the proposed ANFSMC is validated using nonlinear time domain simulations and various performance indices for different loading conditions and fault scenarios of Single Machine Infinite Bus (SMIB) system. The comparative evaluation of proposed ANFSMC based SSSC with conventional Lead-lag control (LLC) and Adaptive NeuroFuzzy TSK control (ANFTSC) shows the superior performance of ANFSMC in both transient and steady-state regions.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, 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. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

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

    Supriya Kapoor

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

    Rahul Bhatia

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© 2018 Springer International Publishing AG

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Badar, R., Shair, J. (2018). Adaptive NeuroFuzzy Sliding Mode Based Damping Control for SSSC. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

  • eBook Packages: EngineeringEngineering (R0)

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