Title
Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis.
Abstract
An approach of big data characterization for smart grids (SGs) and its applications in fault detection, identification, and causal impact analysis is proposed in this paper, which aims to provide substantial data volume reduction while keeping comprehensive information from synchrophasor measurements in spatial and temporal domains. Especially, based on secondary voltage control (SVC) and local SG...
Year
DOI
Venue
2016
10.1109/TSG.2016.2552229
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Static VAr compensators,Hidden Markov models,Voltage measurement,Smart grids,Big data,Voltage control,Reactive power
Smart grid,Fault detection and isolation,Situation awareness,Selection algorithm,Control engineering,Electronic engineering,Real-time computing,AC power,Engineering,Hidden Markov model,Analytics,Big data
Journal
Volume
Issue
ISSN
7
5
1949-3053
Citations 
PageRank 
References 
3
0.39
6
Authors
6
Name
Order
Citations
PageRank
Huaiguang Jiang1245.11
Xiaoxiao Dai2152.91
David Wenzhong Gao37511.70
Jun Jason Zhang412218.78
Yingchen Zhang59718.22
eduard muljadi6143.85