Security analysis for system operation using Bayes classifier Conference Paper

abstract

• This paper proposes a Bayes classifier for security assessment in power systems. In power system security analysis, characterization of certain contingencies using voltage stability and load curtailment is a cumbersome and time-consuming process. Bayes classifier provides assessment of system security without complicated contingency analysis and can reduce the computational burden. Security status of a given feature vector can be determined by maximum a posteriori probability rule based on Bayes rule. The case study of WSCC system is presented to demonstrate the efficiency of this approach.

name of conference

• 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)

authors

• Singh, Chanan

published proceedings

• 2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS

author list (cited authors)

• Kim, H., & Singh, C.

citation count

• 2

complete list of authors

• Kim, H||Singh, C

publication date

• January 2003

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Artificial Neural Network (ann)
• Bayes Classifier
• Optimal Power Flow (opf)
• Security Assessment
• Transient Stability
• Voltage Stability

Digital Object Identifier (DOI)

• 10.1109/PES.2003.1270385

International Standard Book Number (ISBN) 10

• 0-7803-7989-6

start page

• 661

end page

• 666

volume

• 2

URL

• http://dx.doi.org/10.1109/pes.2003.1270385

user-defined tag

• 7 Affordable and Clean Energy