NDLI: Electric Power Systems Contingencies Analysis by Paraconsistent Logic Application

Content Provider	IEEE Xplore Digital Library
Author	Da Silva Filho, J.I. Rocco, A. Onuki, A.S. Ferrara, L.F.P. Camargo, J.M.
Copyright Year	2007
Description	Author affiliation: Santa Cecilia Univ., Santa Cecilia (Da Silva Filho, J.I.; Rocco, A.; Onuki, A.S.; Ferrara, L.F.P.)
Abstract	In this paper we present paraconsistent logic application at electric power system contingency analysis with risks identification. Para-consistent Logic is a non-classic logic whose foundations allow for the treatment of contradictions without invalidating the conclusions through algorithms named PANs - para-consistent analysis nodes. In the equations of the PANs are calculated signals representing restrictions, risks and configurations of electric power systems networks. The "pre- Fault state" represented by the resulting evidence degree from PAN is evaluated together with the "post-fault" information in a contingency evaluation. In that way the occurrence type and their parameters are classified by PANet with the purpose of offering an optimized re-establishment sequence to the power system. This method is being validated through off-line tests applied at the Eletropaulo-Eletricidade de Sao Paulo, an electric power distribution utility company of Sao Paulo state, Brazil, which has a distribution network and a model substation of medium range.
Starting Page	1
Ending Page	6
File Size	791755
Page Count	6
File Format	PDF
ISBN	9789860126075
DOI	10.1109/ISAP.2007.4441603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ISAP
Subject Keyword	Algorithm design and analysis expert system Decision making paraconsistent analysis networks Humans Lattices Distribution Power Systems Risk analysis Power system modeling Network Distribution Reconfiguration Power system analysis computing Cities and towns Power system reliability Logic
Content Type	Text
Resource Type	Article

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