Design of an adaptive neurofuzzy inference control system for the unified power-flow controller

Emad Farrag, Ghanim Putrus

    Research output: Contribution to journalArticle


    This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept. The training data for the controller are extracted from an analytical model of the transmission system incorporating a UPFC. The operating points' space is dynamically partitioned into two regions: 1) an inner region where the desired operating point can be achieved without violating any of the UPFC constraints and 2) an outer region where it is necessary to operate the UPFC beyond its limits.
    Original languageEnglish
    Pages (from-to)53-61
    Number of pages9
    JournalIEEE Transactions on Power Systems
    Issue number1
    Publication statusPublished - Jan 2012



    • power systems
    • adaptive neurofuzzy inference controller

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