Practical neural network approach for power generation automation
Document Type
Conference Item
Publication Date
1-1-1998
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.
Keywords
Automation, Backpropagation, Cogeneration plants, Electric loads, Electric power systems, Learning algorithms, Multilayer neural networks, Scheduling, Load demand, Electric power generation
Divisions
fac_eng
Event Title
Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98)
Event Location
Singapore
Event Dates
3 - 5 March 1998
Event Type
conference