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Neural-network-based adaptive control with application to power systems

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3 Author(s)
Chen, D. ; Dept. of Electr. & Comput. Eng., Oregon State Univ., Corvallis, OR, USA ; Mohler, R. ; Chen, L.

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 a FACTS device, the thyristor controlled series capacitor, is studied with the consideration of the unknown load. A number of novel techniques are developed to synthesize robust, near-time-optimal, neurocontrollers. The simulations illustrate the performance of the synthesized neural controllers. The results developed can be readily generalized to more general nonlinear systems

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:5 )

Date of Conference:

1999

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