Indirect Adaptive Neurocontrol Scheme for a Static Compensator Connected to a Power System

Author

Salman Mohagheghi
Ganesh K. Venayagamoorthy, Missouri University of Science and TechnologyFollow
Ronald G. Harley
Jung-Wook Park
Mariesa Crow, Missouri University of Science and TechnologyFollow

Abstract

An indirect adaptive neurocontrol scheme for a Static Compensator connected to a power system using two Artificial Neural Networks (ANNs) is presented in this paper. The ANNs are trained online and there is no need for offline data. The neurocontroller has a better performance in adaptively controlling the Static Compensator and damping the system transients, compared to conventional controllers. Preliminary results are provided to show the performance of the neurocontroller for large disturbances.

Recommended Citation

S. Mohagheghi et al., "Indirect Adaptive Neurocontrol Scheme for a Static Compensator Connected to a Power System," Proceedings of the IFAC Symposium on Power Plants and Power Systems Control (2003, Seoul, South Korea), pp. 1188 - 1193, International Federation of Automatic Control (IFAC), Sep 2003.

Meeting Name

IFAC Symposium on Power Plants and Power Systems Control (2003: Sep. 15-19, Seoul, South Korea)

Department(s)

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)
Duke Power Company

Comments

Supported by the National Science Foundation under Grant ECS-0231632

Keywords and Phrases

STATCOM; Adaptive Control; Neural Networks; Power Systems

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2003 International Federation of Automatic Control (IFAC), All rights reserved.

Publication Date

01 Sep 2003