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

IEEE Transactions on Power Delivery

Volumn 27, Issue 1, 2012, Pages 53-61

  Farrag, Mohamed E A ^a   Putrus, Ghanim A ^b  

^a GLASGOW CALEDONIAN UNIVERSITY   (United Kingdom)

^b NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

Artificial intelligence; flexible ac transmission systems; fuzzy; neural networks; unified power flow controller (UPFC)

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE; ANALYTICAL MODEL; D-SPACE; EFFECTIVE PERFORMANCE; EXPERIMENTAL STUDIES; FEASIBLE REGIONS; FLEXIBLE AC TRANSMISSION SYSTEM; FUZZY; INNER REGION; MATLAB /SIMULINK; OPERATING POINTS; REAL POWER; TRAINING DATA; TRANSMISSION SYSTEMS; UNIFIED POWER FLOW CONTROLLERS;

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONTROLLERS; ELECTRIC LOAD DISPATCHING; ELECTRIC POWER TRANSMISSION; FLOW CONTROL; MATHEMATICAL MODELS; NEURAL NETWORKS; POWER ELECTRONICS;

ELECTRIC CONTROL EQUIPMENT;

EID: 84655161261     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2011.2171061     Document Type: Article

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