NDLI: Partition of the power system fault nature based on extension

Content Provider	IEEE Xplore Digital Library
Author	Shi Ling-jun Wu Jun-ji Shi Zhi-ping Fan Li-fang Wang Hu
Copyright Year	2009
Abstract	Extension provide an effective tool to correctly partition the nature of transient fault and permanent fault, reduce the number of reclosing and to improve stability. This paper presents three element models, that is not fully reflect the nature of things from the general model. Fully reflect the nature of things based on the entire model and things can be resolved conflicting Extension element model. Improved the dependent function, and partition the power system fault nature. Simulation results show that partition of the power system fault nature based on the whole element modeling is more accurate than that based on the Fuzzy mathematical method; Partition of the power system fault nature based on the extension transformation from model achieve the desired results, can resolve the contradictions that can not partition the power system fault nature accurately.
Starting Page	1
Ending Page	6
File Size	339533
Page Count	6
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5347927
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system transients Extension logy Extension transformation Power system stability Matter-element model Power system faults Power system modeling Partition of the fault nature Voltage Dependent function Set theory Capacitance Power system reliability Mathematical model Logic
Content Type	Text
Resource Type	Article

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