Abstract

A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained (COT) artificial neural networks (ANNs) is presented in this paper. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data and can be used in designing an adaptive neurocontroller for a static compensator connected to such system.

Meeting Name

International Joint Conference on Neural Networks, 2003 (2003: Jul. 20-24, Portland, OR)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Adaptive Neural Network Identifier; Adaptive Neurocontroller; Continually Online Trained Artificial Neural Networks; Identification; Neurocontrollers; Power Electronic Based Shunt Connected Flexible AC Transmission System Devices; Power System; Power System Control; Static VAr Compensators; Static Compensator

International Standard Book Number (ISBN)

0-7803-7898-9

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Full Text Link

Share

 
COinS