A practical neural network approach for power generation automation

Authors

M Mogavvemi, University of Malaya
Seong Sam Yang, University of Malaya
Kashem M. Muttaqi, University of MalayaFollow

RIS ID

101224

Publication Details

M. Mogavvemi, S. S. Yang & M. A. Kashem, "A practical neural network approach for power generation automation," in Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on, 1998, pp. 305-310.

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 backpropagation 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 4x8 MW rating. Test results indicates that the ANN model can automatically perform generator scheduling accurately