NDLI: Neural-network-based intelligent control for improving dynamic performance of FACTS devices

Content Provider	IEEE Xplore Digital Library
Author	Wei Qiao Harley, R.G. Venayagamoorthy, G.K.
Copyright Year	2007
Description	Author affiliation: Georgia Inst. of Technol., Atlanta (Wei Qiao; Harley, R.G.)
Abstract	Flexible AC transmission system (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance and stability of power systems. The standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. However, at other operating points their performance degrades. Neural-network-based nonlinear intelligent control offers an attractive approach to overcome the drawbacks of the linear controllers. This paper presents two different neural-network-based intelligent control architectures, i.e., indirect adaptive neurocontrol and adaptive critic design based optimal neurocontrol, for designing the external control of an SSSC FACTS device. Simulation studies are carried out to evaluate the proposed nonlinear intelligent controllers on single machine infinite bus as well as multi-machine power systems. Results show that the proposed intelligent controls improve the dynamic performance of the SSSC and the associated power network.
Starting Page	1
Ending Page	9
File Size	464406
Page Count	9
File Format	PDF
ISBN	9781424415182
DOI	10.1109/IREP.2007.4410550
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Power system dynamics Flexible AC transmission systems Power system simulation Power system stability Control systems Nonlinear dynamical systems Power system modeling Adaptive control Intelligent control
Content Type	Text
Resource Type	Article

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Neural-network-based intelligent control for improving dynamic performance of facts devices.

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Flexible AC transmission systems simulation and control

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Neural-network-based intelligent control for improving dynamic performance of FACTS devices

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