Abstract
This paper presents two neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control signals are calculated using local signals only, the transient and overall system stabilities can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system and the interconnection terms, thus the requirements for exact system parameters are released. Simulation studies with a three machine power system demonstrate the effectiveness of the proposed controller designs.
Recommended Citation
W. Liu et al., "Two Neural Network Based Decentralized Controller Designs for Large Scale Power Systems," DCDIS A Supplement, Advances in Neural Networks, vol. 14, no. S1, pp. 486 - 493, Watam Press, Jan 2007.
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
Decentralized Control; Large Scale System; Neural Networks; Power Systems
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2007 Watam Press, All rights reserved.
Publication Date
01 Jan 2007
Included in
Computer Sciences Commons, Electrical and Computer Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons
