NDLI: Wide area power grid health state diagnosis and early warning system based on fault power flow fingerprint identification and MAS technology

Content Provider	IEEE Xplore Digital Library
Author	Peng Ge Qian Guo Haina Zhou Xinran Li Wen Xu Guoqing Tang Qingshan Xu
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Southeast Univ., Nanjing (Peng Ge; Qian Guo; Haina Zhou; Xinran Li; Wen Xu; Guoqing Tang; Qingshan Xu)
Abstract	The stability and security of the power grid is deteriorated due to the recent large-scale power grid interconnection and the power marketing. The stability character of the power grid becomes complex more and more. The new theory and technique need to be applied to diagnose the real-time state of the power grid in order to ensure the safe and economical operation of the power grid. The power flow fingerprint character during the normal and fault state is analyzed and the power grid health diagnosis repository with the Self-learning ability is constituted. The diagnosis method adaptable for the wide area power grid health state diagnosis is put forward in the paper. The power flow character is extracted using AFIS technology, and the intelligent matching arithmetic is used to diagnose the power grid health state, so the power grid health state factor and the uncertain probability distributing between the failure and symptom is present. The early warning and decision support architecture is constructed based on the Power Flow Fingerprint Identification and MAS Technology. The health diagnosis results can be integrated with the other intelligent diagnosis results and can alarm the dispatcher using the technology of visualization. The application of power flow fingerprint identification technique to diagnose the health state of the power grid can eliminate the potential fault in the power grid and prevent the happening of the paroxysmal accident.
Starting Page	1769
Ending Page	1774
File Size	525869
Page Count	6
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523693
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	Power grids Fault diagnosis Alarm systems Load flow Fingerprint recognition Power system stability Power system security Large-scale systems Power system interconnection Power generation economics Power flow fingerprint Early Warning Multi-agent system Health state diagnosis Power grid
Content Type	Text
Resource Type	Article

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