Power system reliability evaluation using self organizing map Conference Paper

abstract

• 2000 IEEE. Artificial neural networks (ANN) based on the self organizing map (SOM) algorithm has received considerable attention. This paper proposes a new method for power system reliability evaluation by combining Monte Carlo simulation and self organizing map which greatly reduces the computing burden of the loss of load probability calculation compared to Monte Carlo simulation only. A case study of the IEEE RTS system is presented demonstrating the efficiency of this approach.

name of conference

• 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077)

authors

• Singh, Chanan

published proceedings

• 2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS

author list (cited authors)

• Luo, X., Singh, C., & Patton, A. D.

citation count

• 19

complete list of authors

• Luo, X||Singh, C||Patton, AD

publication date

• January 2000

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Loss Of Load Probability
• Optimal Power Flow
• Reliability Evaluation
• Self Organizing Map

Digital Object Identifier (DOI)

• 10.1109/pesw.2000.850095

International Standard Book Number (ISBN) 10

• 0-7803-5935-6

International Standard Book Number (ISBN) 13

• 9780780359352

start page

• 1103

end page

• 1108

volume

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fpesw.2000.850095