DocumentCode
2056979
Title
Unified representation of data and model for sparse measurement based fault location
Author
Dutta, P. ; Kezunovic, M.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
8
Abstract
Transmission line fault location methods typically need measurements from at least one end of the faulted line. Sparse measurement based fault location method using phasor measurements from different substations located near the faulted line can be applied if the measurements are not available from any of the line ends. This method uses data and model described in both bus-branch and node-breaker representation. This requires use of nomenclature correlation tables to correlate between different data and model, which is a very cumbersome process as for each substation separate nomenclature correlation tables are required. The proposed solution uses standard formats of data and model (IEC 61970-CIM for describing power system model and SCADA data; IEC 61850-SCL for describing substation model and COMTRADE for describing event data triggered by IEDs) all expressed in node-breaker format, which allows for unified data and model representation by using simple rules.
Keywords
fault location; phasor measurement; power transmission faults; power transmission lines; power transmission protection; substations; IEC 61850-SCL; IEC 61970-CIM; SCADA data; bus-branch representation; node-breaker representation; nomenclature correlation tables; phasor measurements; power system model; sparse measurement based fault location method; substation model; transmission line fault location methods; unified data representation; Circuit faults; Computer integrated manufacturing; Data models; Fault location; Substations; Transmission line measurements; Unified modeling language; CIM; COMTRADE; Fault location; SCADA data; SCL;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6345234
Filename
6345234
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