NDLI: Design of a robust and adaptive neural network for flexible AC transmission systems

Content Provider	IEEE Xplore Digital Library
Author	Rashidi, F. Rashidi, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Tehran Univ., Iran (Rashidi, F.)
Abstract	A neuro-control approach for flexible AC transmission systems (FACTS) based on temporal difference learning based multilayer perceptron neural network (TDMLP) is presented in this paper. The proposed scheme consists of a single neuron network whose input is derived from the active or reactive power or voltage derivation at the power system bus, where the FACTS device (in this case an unified power flow controller) is located. The performance and usefulness of this approach is tested and evaluated using both single-machine infinite-bus and two-machine power system subjected to various transient disturbances. It was found that the new intelligent controller for FACTS exhibits a superior dynamic performance in compensation to the existing classical control schemes. Its simple architecture reduces the computational overhead, thereby real-time implementation.
Starting Page	904
Ending Page	911
File Size	1211310
Page Count	8
File Format	PDF
ISBN	0780386620
DOI	10.1109/ICIT.2004.1490195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-08
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Adaptive systems Neural networks Flexible AC transmission systems Power system transients Power system dynamics Multilayer perceptrons Multi-layer neural network Neurons Reactive power control
Content Type	Text
Resource Type	Article

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