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

Emad Farrag; Ghanim  Putrus

doi:10.1109/TPWRD.2011.2171061

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

Emad Farrag, Ghanim Putrus

Research output: Contribution to journal › Article › peer-review

40 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	53-61
Number of pages	9
Journal	IEEE Transactions on Power Systems
Volume	27
Issue number	1
DOIs	https://doi.org/10.1109/TPWRD.2011.2171061
Publication status	Published - Jan 2012

Keywords

power systems
adaptive neurofuzzy inference controller

Documents and Links

10.1109/TPWRD.2011.2171061

Cite this

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

Abstract

Keywords

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