NDLI: Studies on the optimizing model of fault diagnosis for power network

Content Provider	IEEE Xplore Digital Library
Author	Mao Peng Bai Richang
Copyright Year	2008
Description	Author affiliation: Extra-high Voltage Branch, Jiangxi Electr. Power Co., Nanchang (Mao Peng; Bai Richang)
Abstract	The optimizing model of fault diagnosis for power network is formulated as a 0-1 integer programming problem. The fault equipments can be determined by means of the refined mathematical manipulation. We make a deep study of the present optimizing models and their disadvantages, especially the problems of inconsequence and non-uniqueness of some diagnosis results, and find the cause of the non-uniqueness lies in the fact that the model only takes the influence of each protection into account and ignores the conjunct influence of main and back up protections. On the basis of this point, taking a general view of the configuration characteristics of present secondary systems and the features of the diagnosis information, an improved optimizing model of fault diagnosis for power network is proposed in this paper. The particularity of breaker malfunction protection is taken into account in the new model. The expecting status functions of the equipments are redefined. The preconditioning of the raw data for fault diagnosis and the realization of the system are also explicated briefly. Theoretic analysis and instance verifications indicate that the new model is more reasonable and the diagnosis results are exacter.
Starting Page	2047
Ending Page	2051
File Size	586759
Page Count	5
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	DRPT
Subject Keyword	Fault diagnosis Power system modeling Power system protection Protective relaying Power system relaying Linear programming Accidents Voltage Partial response channels Mathematics power network fault diagnosis malfunction protection optimizing model
Content Type	Text
Resource Type	Article

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