Artificial-neural-network-based fast valving control in a power-generation system

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/61865

Title:	Artificial-neural-network-based fast valving control in a power-generation system
Authors:	Han, Y. Wang, Z. Chen, Q. Tan, S.
Keywords:	Artificial neural networks Backpropagation algorithm Fast valving Hardware implementation Pilot-scale power systems set-ups Power-generation systems Transient stability
Issue Date:	Apr-1997
Citation:	Han, Y.,Wang, Z.,Chen, Q.,Tan, S. (1997-04). Artificial-neural-network-based fast valving control in a power-generation system. Engineering Applications of Artificial Intelligence 10 (2) : 139-155. ScholarBank@NUS Repository.
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.
Source Title:	Engineering Applications of Artificial Intelligence
URI:	http://scholarbank.nus.edu.sg/handle/10635/61865
ISSN:	09521976
Appears in Collections:	Staff Publications

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