Fuzzy Decision Making against Masking Problem in MW Contingency Ranking Academic Article

abstract

• Contingency ranking quantifies the severity of each out-age with a scalar performance index, by which all possible contingencies can be ranked. Computationally effective low-order formulations cannot succeed in accurate ordering because of the masking effect. This letter presents a fuzzy logic-based MW contingency ranking algorithm for line outage contingency analysis, which minimizes the masking effect. The proposed algorithm is applied to several test systems. The agreement of the resulting rankings and the actual rankings are tested with several statistical quantities.

authors

• Singh, Chanan

published proceedings

• IEEE Power Engineering Review

author list (cited authors)

• Ozdemir, A., & Singh, C.

citation count

• 1

complete list of authors

• Ozdemir, A||Singh, C

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Power Engineering Review  Journal

Digital Object Identifier (DOI)

• 10.1109/mper.2002.4311978

start page

• 55

end page

• 56

volume

• 22

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fmper.2002.4311978