Artificial-neural-network-based fast valving control in a power-generation system
Han, Y. Wang, Z. Chen, Q. Tan, S.
Han, Y.
Wang, Z.
Chen, Q.
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Abstract
This paper presents an artificial-neural-network-based controller to realize fast valving in a power-generation plant. A backpropagation algorithm is used to train the feedforward neural-network controller. The hardware implementation and the test results of the controller on a physical pilot-scale power system set-up are described in detail. Compared with some conventional fast valving methods applied to the same system, test results (both in a computer simulation and on a physical pilot-scale power system set-up) show that the neural-network controller has quite satisfactory generalisation capability, feasibility and reliability, as well as accuracy. © 1997 Elsevier Science Ltd. All rights reserved.
Keywords
Artificial neural networks, Backpropagation algorithm, Fast valving, Hardware implementation, Pilot-scale power systems set-ups, Power-generation systems, Transient stability
Source Title
Engineering Applications of Artificial Intelligence
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Date
1997-04
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Article