Indirect Adaptive Neurocontrol Scheme for a Static Compensator Connected to a Power System
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.
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.
IFAC Symposium on Power Plants and Power Systems Control (2003: Sep. 15-19, Seoul, South Korea)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Duke Power Company
Keywords and Phrases
STATCOM; Adaptive Control; Neural Networks; Power Systems
Article - Conference proceedings
© 2003 International Federation of Automatic Control (IFAC), All rights reserved.
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