Title

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.

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.


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