On-line Identification of Static Series Compensator in a Power System Using a RBF Neural Networks
Abstract
An Adaptive neuro-identifier using a radial basis function (RBF) neural network and actual signals is presented in this paper for an on-line identification of a synchronous series compensator (SSSC) with energy storage devices, which is connected to a power system. Simulation results show that the proposed neuro-identifier continuously tracks the dynamics of the SSSC and the power network with good precision, and thereby can be used to design an indirect adaptive neuro-controller for the SSSC connected to such power system.
Recommended Citation
W. Xiao et al., "On-line Identification of Static Series Compensator in a Power System Using a RBF Neural Networks," International Conference on Power Systems, Operation and Planning, International Conference on Power System Operations and Planning (ICPSOP), May 2005.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Neuro-Identifier; Static Synchronous Series Compensator
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2005 International Conference on Power System Operations and Planning (ICPSOP), All rights reserved.
Publication Date
01 May 2005
