Fuzzy filtering for power system security assessment

This paper presets an application of the fuzzy filtering theory to power system static security assessment. Fuzzy subsets are used to describe the imprecise knowledge acquired from power system operators. Rules are formed using linguistic qualifiers to describe the context of contingency analysis. The result of fuzzy filtering is a more robust conclusion of security assessment facing various uncertainties. The expert system has been implemented in Nexpert Object and tested with data from a Swiss utility system