Design of fast real time controller for the SSSC based on Takagi-Sugeno (TS) adaptive neuro-fuzzy control system

Mohammed Suliman, Mohamed Emad Farrag (Emad), Sinan Bash

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    FACTS (Flexible AC Transmission Systems) technology is one aspect of the power electronics revolution that is taking place in all areas of electric energy. The power transfer capability of a transmission line can be enhanced by using power electronics based system like FACTS that offer high speed and reliable control capability. The Static Synchronous Series Compensator (SSSC) is the second generation of the FACTS controller, which is used to control the power flow in the transmission line. In this paper, a new scheme to control SSSC using adaptive neuro fuzzy logic is proposed, in this controller, Takagi-Sugeno fuzzy rules are trained using off-line neuro fuzzy system, also, instantaneous power theory is used to calculate the power system parameters due to its high accuracy and less computation. The simulation and practical results show that real time application of the proposed controller is possible and robust compared to conventional controllers previously investigated. The experiment results obtained using the dSPACE data acquisition system and Matlab real time toolbox.
    Original languageEnglish
    Title of host publicationRenewable Energy and Power Quality Journal
    Number of pages6
    Publication statusPublished - Apr 2014

    Publication series

    NameRenewable Energy and Power Quality Journal
    Number12
    Volume1
    ISSN (Print)2172-038X

    Keywords

    • SSSC
    • instantaneous power theory
    • fuzzy logic

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  • Cite this

    Suliman, M., Farrag (Emad), M. E., & Bash, S. (2014). Design of fast real time controller for the SSSC based on Takagi-Sugeno (TS) adaptive neuro-fuzzy control system. In Renewable Energy and Power Quality Journal (Renewable Energy and Power Quality Journal; Vol. 1, No. 12).