NDLI: Data mining for detection of sensitive buses and influential buses in a power system subjected to disturbances

Content Provider	IEEE Xplore Digital Library
Author	Tso, S.K. Lin, J.K. Ho, H.K. Mak, C.M. Yung, K.M. Ho, Y.K.
Copyright Year	1969
Abstract	Many kinds of major disturbances in the power system could lead to system load reduction. It is very challenging and useful for the system dispatcher to grasp the knowledge about whether some substations exist whose load reductions resulting from the disturbances are consistently more serious than others. In this paper, the data-mining technique is applied to a power system in Hong Kong to detect the substations most sensitive to the disturbances. Two indexes are defined to measure the severity of load reduction. By statistical analysis, the most sensitive substations can be discovered, which are confirmed to be the case by the experts working in the power system. Furthermore, based on the voltage-profile correlation analysis, the influential buses where the most effective voltage adjustment may be strategically applied to assist a sensitive bus to recover from the severe voltage fluctuation arising from the disturbance can be deduced.
Sponsorship	IEEE Power Engineering Society
Starting Page	563
Ending Page	568
Page Count	6
File Size	677671
File Format	PDF
ISSN	08858950
Volume Number	19
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Power systems Power system measurements Power system security Substations Power system analysis computing Voltage Power generation Power system faults Power system dynamics
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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