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Transient Stability Enhancement Using Sliding Mode Based NeuroFuzzy Control for SSSC

  • Rabiah Badar
  • Jan Shair
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 751)

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.

Keywords

Sliding mode control NeuroFuzzy Adaptive control Power system SSSC 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringCOMSATS Institute of Information TechnologyIslamabadPakistan

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