DocumentCode
908569
Title
Real-time security assessment of electrical power systems
Author
Groom, C.G. ; Chan, K.W. ; Dunn, Roderick W. ; Daniels, A.R.
Author_Institution
Sch. of Electron. & Electr. Eng., Bath Univ., UK
Volume
11
Issue
2
fYear
1996
fDate
5/1/1996 12:00:00 AM
Firstpage
1112
Lastpage
1117
Abstract
A new fast approach to electrical power network analysis is presented in this paper. A description of a real-time multimachine power system simulator, developed at the University of Bath (UK), is given, which has been used rather than the more conventional fast decoupled load flow. The operation of the algorithms that have been developed as part of this simulator are described, together with an explanation of how fuzzy set theory has been used for contingency screening and analysis, as well as the identification of power system transient and dynamic instability. Results are presented for these fuzzy algorithms and compared with traditional numerical methods for the IEEE 57 bus system and a reduced British National Grid network. Finally, conclusions are drawn in the light of these results, illustrating the benefits that can be achieved with respect to accuracy and computational speed
Keywords
digital simulation; power system analysis computing; power system security; power system stability; power system transients; real-time systems; time-domain analysis; IEEE 57 bus system; accuracy; algorithms; computational speed; computer simulation; contingency analysis; contingency screening; electrical power systems; fuzzy algorithms; fuzzy set theory; multimachine power system simulator; power system dynamic instability; power system transient instability; real-time security assessment; Algorithm design and analysis; Analytical models; Fuzzy set theory; Load flow; Power system analysis computing; Power system dynamics; Power system security; Power system simulation; Power system transients; Real time systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.496202
Filename
496202
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