Title
Neural Network Based Decentralized Controls of Large Scale Power Systems
Abstract
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.
Year
DOI
Venue
2007
10.1109/ISIC.2007.4450966
ISIC
Keywords
Field
DocType
power system,neural network,decentralized control
Control theory,Decentralised system,Suite,Control theory,Computer science,Electric power system,Control engineering,Artificial neural network
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
7
Name
Order
Citations
PageRank
Wenxin Liu18715.40
S. Jagannathan236129.96
Ganesh K. Venayagamoorthy32297200.90
Wunsch II Donald C.4135491.73
Mariesa L. Crow522837.53
Li Liu6468.81
David A. Cartes76411.09