Practical neural network approach for power generation automation

Moghavvemi, M. and Yang, S.S. and Kashem, M.A. (1998) Practical neural network approach for power generation automation. In: Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98), 3 - 5 March 1998, Singapore.

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Abstract

This paper presents a practical artificial neural network (ANN) based technique for the automation of power generation scheduling based on the consumer's load profile. A multi-layered neural network with back propagation learning algorithm is used to predict the required power generation to fulfill the consumer's demands. The proposed technique has been applied to a typical co-generation power plant of 4×8 MW rating. Test results indicates that the ANN model can automatically perform generator scheduling accurately.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Automation; Backpropagation; Cogeneration plants; Electric loads; Electric power systems; Learning algorithms; Multilayer neural networks; Scheduling; Load demand; Electric power generation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Norhamizah Tamizi
Date Deposited: 24 Mar 2014 09:15
Last Modified: 23 Nov 2017 01:46
URI: http://eprints.um.edu.my/id/eprint/9709

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