Real power transfer capability calculations using multi-layer feed-forward neural networks

abstract

• This paper proposes a neural network solution methodology for the problem of real power transfer capability calculations. Based on the optimal power flow formulation of the problem, the inputs for the neural network are generator status, line status and load status and the output is the transfer capability. The Quickprop algorithm is used in the paper to train the neural network. A case study of IEEE 30-bus system is presented demonstrating the feasibility of this approach. The new method will be useful for reliability assessment in the new utility environment.

authors

• Singh, Chanan

published proceedings

• IEEE TRANSACTIONS ON POWER SYSTEMS

author list (cited authors)

• Luo, X., Patton, A. D., & Singh, C.

citation count

• 79

complete list of authors

• Luo, X||Patton, AD||Singh, C

publication date

• May 2000

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON POWER SYSTEMS  Journal

keywords

• Artificial Neural Network
• Optimal Power Flow
• Quickprop Algorithm
• Reliability Management
• Transfer Capability

Digital Object Identifier (DOI)

• 10.1109/59.867192

start page

• 903

end page

• 908

volume

• 15

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F59.867192