DocumentCode
3480025
Title
Neural network control for damping of multi-mode oscillations in a power system
Author
Lim, C.M.
Volume
2
fYear
2001
fDate
2001
Firstpage
658
Abstract
A neural network-based control scheme, in conjunction with a coherency recognition technique, is proposed for enhancing the damping characteristics of multi-machine power systems. From the simulation results obtained, it is shown that the proposed control scheme is suitable for damping multi-mode oscillations in a 10-machine power system and performs better than a conventional control scheme
Keywords
circuit oscillations; control system analysis; control system synthesis; damping; decentralised control; neurocontrollers; power system control; power system stability; coherency recognition technique; control design; control simulation; damping characteristics enhancement; decentralised control; multi-machine power systems; neural network control; neurocontrollers; power system multi-mode oscillations damping; Control systems; Damping; Intelligent networks; Neural networks; Optimal control; Power system control; Power system dynamics; Power system simulation; Power systems; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology
Print_ISBN
0-7803-7101-1
Type
conf
DOI
10.1109/TENCON.2001.949675
Filename
949675
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