Fault Correspondence Analysis in Complex Electric Power Systems
Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric power systems. The analysis and control of power system mostly depends on the measurement of state variables, and WAMS provides the basis for dynamic monitoring of power system by the...
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Stefan cel Mare University of Suceava
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Online Access: | http://dx.doi.org/10.4316/AECE.2015.01002 |
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doaj-ce874eeadf07431c921355e51b9f9aa42020-11-25T00:37:18ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002015-02-01151111610.4316/AECE.2015.01002Fault Correspondence Analysis in Complex Electric Power SystemsWANG, C.ZHANG, Y. Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric power systems. The analysis and control of power system mostly depends on the measurement of state variables, and WAMS provides the basis for dynamic monitoring of power system by these measurements, which can also satisfy the demands of observable, controllable, real-time analysis and decision, self-adaptive etc. requested by smart grid. In this paper, based on the principles of fault correspondence analysis, by calculating row characteristic which represents nodal electrical information and column characteristic which represents acquisition time information, we will conduct intensive research on fault detection. The research results indicate that the fault location is determined by the first dimensional variable, and the occurrence time of fault is determined by the second dimensional variable. The research in this paper will contribute to the development of future smart grid.http://dx.doi.org/10.4316/AECE.2015.01002synchronized phasor measurement unitPMUbackup protectionsmart gridfault correspondence analysisnoise |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
WANG, C. ZHANG, Y. |
spellingShingle |
WANG, C. ZHANG, Y. Fault Correspondence Analysis in Complex Electric Power Systems Advances in Electrical and Computer Engineering synchronized phasor measurement unit PMU backup protection smart grid fault correspondence analysis noise |
author_facet |
WANG, C. ZHANG, Y. |
author_sort |
WANG, C. |
title |
Fault Correspondence Analysis in Complex Electric Power Systems |
title_short |
Fault Correspondence Analysis in Complex Electric Power Systems |
title_full |
Fault Correspondence Analysis in Complex Electric Power Systems |
title_fullStr |
Fault Correspondence Analysis in Complex Electric Power Systems |
title_full_unstemmed |
Fault Correspondence Analysis in Complex Electric Power Systems |
title_sort |
fault correspondence analysis in complex electric power systems |
publisher |
Stefan cel Mare University of Suceava |
series |
Advances in Electrical and Computer Engineering |
issn |
1582-7445 1844-7600 |
publishDate |
2015-02-01 |
description |
Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric
power systems. The analysis and control of power system mostly depends on the measurement of state variables, and
WAMS provides the basis for dynamic monitoring of power system by these measurements, which can also satisfy the
demands of observable, controllable, real-time analysis and decision, self-adaptive etc. requested by smart grid.
In this paper, based on the principles of fault correspondence analysis, by calculating row characteristic which
represents nodal electrical information and column characteristic which represents acquisition time information,
we will conduct intensive research on fault detection. The research results indicate that the fault location is
determined by the first dimensional variable, and the occurrence time of fault is determined by the second dimensional
variable. The research in this paper will contribute to the development of future smart grid. |
topic |
synchronized phasor measurement unit PMU backup protection smart grid fault correspondence analysis noise |
url |
http://dx.doi.org/10.4316/AECE.2015.01002 |
work_keys_str_mv |
AT wangc faultcorrespondenceanalysisincomplexelectricpowersystems AT zhangy faultcorrespondenceanalysisincomplexelectricpowersystems |
_version_ |
1725301466207354880 |