This paper presents a suite of 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 inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.
W. Liu et al., "Neural Network Based Decentralized Controls of Large Scale Power Systems," Proceedings of the IEEE 22nd International Symposium on Intelligent Control, 2007 (2007, Singapore), pp. 676-681, Institute of Electrical and Electronics Engineers (IEEE), Oct 2007.
The definitive version is available at https://doi.org/10.1109/ISIC.2007.4450966
22nd IEEE International Symposium on Intelligent Control (2007: Oct. 1-3, Singapore)
Electrical and Computer Engineering
Keywords and Phrases
Decentralized Control; Neurocontrollers; Power System Control; Power System Interconnection; Power System Stability
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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