NDLI: Power System Real-Time Event Detection and Associated Data Archival Reduction Based on Synchrophasors

Content Provider	IEEE Xplore Digital Library
Author	Yinyin Ge Flueck, A.J. Dae-Kyeong Kim Jong-Bo Ahn Jae-Duck Lee Dae-Yun Kwon
Copyright Year	2010
Abstract	The aim of this paper is to present methods on real-time event detection and data archival reduction based on synchrophasor data produced by phasor measurement unit (PMU). Event detection is performed with principal component analysis and a second order difference method with a hierarchical framework for the event notification strategy on a small-scale microgrid. Compared with the existing methods, the proposed method is more practical and efficient in the combined use of event detection and data archival reduction. The proposed method on data reduction, which is an “event oriented auto-adjustable sliding window method,” implements a curve fitting algorithm with a weighted exponential function-based variable sliding window accommodating different event types. It works efficiently with minimal loss in data information especially around detected events. The performance of the proposed method is shown on actual PMU data from the Illinois Institute of Technology campus microgrid, thus successfully improving the situational awareness of the campus power system network.
Starting Page	2088
Ending Page	2097
Page Count	10
File Size	2504967
File Format	PDF
ISSN	19493053
Volume Number	6
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Event detection Real-time systems Phasor measurement units Principal component analysis Microgrids Signal processing algorithms synchrophasor Archiving event detection phasor measurement unit (PMU) principal component analysis (PCA) reduction situational awareness (SA)
Content Type	Text
Resource Type	Article
Subject	Computer Science

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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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