Simulated annealing optimized and neural networks self-tuned PID voltage regulator for a single-machine power system

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2006, Pages 241-246

  Bensenouci, Ahmed ^a,b   Ghany, A M Abdel ^a,c  

^a Department of Electrical Technology   (Saudi Arabia)

^b ECOLE NATIONALE POLYTECHNIQUE   (Algeria)

^c HELWAN UNIVERSITY   (Egypt)

Author keywords

Artificial neural networks; Automatic voltage regulator; PID; Power system; Simulated annealing

Indexed keywords

ANNEALING; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; ELECTRIC POTENTIAL; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRONICS INDUSTRY; INDUSTRIAL ELECTRONICS; MODEL STRUCTURES; NEURAL NETWORKS; OPTIMIZATION; POWER TRANSMISSION; PROPORTIONAL CONTROL SYSTEMS; SYNCHRONOUS GENERATORS; SYNCHRONOUS MACHINERY; VOLTAGE CONTROL; VOLTAGE REGULATORS; VOLTAGE STABILIZING CIRCUITS;

ANNUAL CONFERENCE; ARTIFICIAL NEURAL NETWORKS; AUTOMATIC VOLTAGE REGULATOR; BUS POWER SYSTEM; CONTROLLER GAINS; DIFFERENT OPERATING CONDITIONS; DOMINANT EIGENVALUE; OBJECTIVE FUNCTION; ON-LINE PREDICTION; OPTIMIZATION PROCESSES; OPTIMIZATION TOOLS; PARAMETER CHANGES; PID; POWER SYSTEM; POWER SYSTEMS; PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLERS; SELF-TUNED; SINGLE MACHINES; SYSTEM MODELLING; SYSTEM PARAMETERS; SYSTEM PERFORMANCES;

SIMULATED ANNEALING;

EID: 50249121087     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2006.347428     Document Type: Conference Paper

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