Please use this identifier to cite or link to this item:
Title: Parallel detrended fluctuation analysis for fast event detection on massive PMU data
Authors: Khan, M
Ashton, PM
Li, M
Taylor, GA
Pisica, I
Liu, J
Keywords: Amdahl's law;Detrended fluctuation analysis (DFA);Event detection;Hadoop;MapReduce;OpenPDC;Parallel computing;Phasor measurement unit (PMU);Wide area monitoring systems (WAMS)
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: IEEE Transactions on Smart Grid, 6 (1): 360 - 368, (January 2015)
Abstract: Phasor measurement units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronized measurements. The devices high data reporting rates present major computational challenges in the requirement to process potentially massive volumes of data, in addition to new issues surrounding data storage. Fast algorithms capable of processing massive volumes of data are now required in the field of power systems. This paper presents a novel parallel detrended fluctuation analysis (PDFA) approach for fast event detection on massive volumes of PMU data, taking advantage of a cluster computing platform. The PDFA algorithm is evaluated using data from installed PMUs on the transmission system of Great Britain from the aspects of speedup, scalability, and accuracy. The speedup of the PDFA in computation is initially analyzed through Amdahl's Law. A revision to the law is then proposed, suggesting enhancements to its capability to analyze the performance gain in computation when parallelizing data intensive applications in a cluster computing environment.
Description: ("(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
ISSN: 1949-3053
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf236.94 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.