Online estimation of system parameters for artificial intelligence applications to load frequency control

IET Generation, Transmission and Distribution

Volumn 5, Issue 8, 2011, Pages 895-902

  Chang Chien, L R ^a   Wu, Y S ^b   Cheng, J S ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b TAIWAN POWER COMPANY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AI APPLICATIONS; AUTOMATIC GENERATION CONTROL; CONTROLLER DESIGNS; DRIVE SYSTEMS; FIELD TEST; FUZZY INFERENCE SYSTEMS; LOAD-FREQUENCY CONTROL; MODEL VALIDATION; ON-LINE ESTIMATION; OPERATING PRINCIPLES; OPTIMAL CONDITIONS; OPTIMAL GAIN; REAL TIME; REAL TIME ACQUISITION; RECURSIVE LEAST SQUARE ALGORITHM; REFERENCE MODELS; ROADMAP; SYSTEM CONDITIONS; SYSTEM STATE; TIME VARYING;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTRIC CONTROL EQUIPMENT; ELECTRIC FREQUENCY CONTROL; ELECTRIC LOAD MANAGEMENT; FREQUENCY ESTIMATION; FUZZY INFERENCE; GENETIC ALGORITHMS; INFERENCE ENGINES; MODELS; OPTIMIZATION; PRESS LOAD CONTROL; TIME VARYING SYSTEMS;

CONTROLLERS;

EID: 79960756743     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd.2010.0654     Document Type: Article

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