Fuzzy logic based MW contingency ranking against masking problem


Özdemir A., Singh C.

Winter Meeting of the IEEE-Power-Engineering-Society, Ohio, United States Of America, 28 January - 01 February 2001, pp.504-509 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/pesw.2001.916899
  • City: Ohio
  • Country: United States Of America
  • Page Numbers: pp.504-509
  • Keywords: security analysis, contingency ranking, masking effect, fuzzy logic, SELECTION ALGORITHMS
  • Istanbul Technical University Affiliated: Yes

Abstract

The main objective of an electric power system planning and operation is to maintain the system security while respecting certain constraints imposed on the system. As a framework of security, it is important to investigate the influence of potential failure states on the system performance in advance.