Fuzzy reasoning for knowledge-based assessment of dynamic voltage security

Author

Tso, S.K. ; Zhu, T.X. ; Zeng, Q.Y. ; Lo, K.L.

Author_Institution

Centre for Intelligent Design, Autom. & Manuf., City Univ. of Hong Kong, Hong Kong

Volume

143

Issue

2

fYear

1996

fDate

3/1/1996 12:00:00 AM

Firstpage

157

Lastpage

162

Abstract

An easy-to-use knowledge-based fuzzy approach is proposed to evaluate the dynamic voltage security including both voltage collapse and unacceptable voltage profiles following disturbances. The dynamic voltage-stability behaviour of the power system, however complex and nonlinear in nature, is simply mapped into a fuzzy severity index by means of approximate fuzzy reasoning and a series of fuzzy calculus. In addition to providing a mere two-region demarcation, the fuzzy severity index can also generally give a relative severity indication to discriminate between various post-disturbance system states. A systematic methodology for initial fuzzy-parameter setting and fuzzy-variable selection is also presented and discussed

Keywords

fuzzy set theory; knowledge based systems; power system analysis computing; power system security; power system stability; dynamic voltage security; dynamic voltage-stability behaviour; fuzzy calculus; fuzzy reasoning; fuzzy severity index; knowledge-based assessment; post-disturbance system states; power system; two-region demarcation; unacceptable voltage profiles; voltage collapse;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:19960188

Filename

488151