DocumentCode :
1333796
Title :
Synthesis of neural controller applied to flexible AC transmission systems
Author :
Chen, Dingguo ; Mohler, Ronald R. ; Chen, Lung-Kee
Author_Institution :
Siemens Power Syst. Control, Brooklyn Park, MN, USA
Volume :
47
Issue :
3
fYear :
2000
fDate :
3/1/2000 12:00:00 AM
Firstpage :
376
Lastpage :
388
Abstract :
This paper first addresses the power system stability issue involving the regular generator-angle transient stability and load-driven voltage instability. Transient stabilization of simplified power systems equipped with the flexible AC transmission system (FACTS) device, the thyristor-controlled series capacitor (TCSC), is studied with consideration of unknown loads. With some off-line time-optimal trajectories computed based on the switching-times-variation method (STVM), some techniques are developed to synthesize robust near-time-optimal neural controllers. The theoretical support for these techniques is presented. The simulations illustrate the performance of the synthesized neural controllers. Furthermore, the results developed can be readily generalized to more general nonlinear systems
Keywords :
control system synthesis; flexible AC transmission systems; neurocontrollers; power engineering computing; power system stability; power transmission control; switching; FACTS device; flexible AC transmission systems; load-driven voltage instability; neural controller synthesis; nonlinear systems; power system stability; regular generator-angle transient stability; robust near-time-optimal neural controllers; switching-times-variation method; thyristor-controlled series capacitor; time-optimal trajectories; transient stabilization; Computational modeling; Control system synthesis; Flexible AC transmission systems; Power capacitors; Power generation; Power system stability; Power system transients; Robust control; Thyristors; Voltage;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7122
Type :
jour
DOI :
10.1109/81.841920
Filename :
841920
Link To Document :
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