DocumentCode
2042876
Title
Stochastic latency assessment in substation automation systems
Author
Falahati, B. ; Darabi, Z. ; Mousavi, M.J. ; Yong Fu
Author_Institution
Dept. of Electr. Eng., Mississippi State Univ., Starkville, MS, USA
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
7
Abstract
This paper deals with stochastic latency in modern substation automation systems based on IEC61850. In order to meet the real-time requirements of mission-critical protection functions, latency evaluations are necessary to assess the expected performance level. A thoroughly-analyzed system under various contingencies ascertains that the communications design architecture is sufficiently fast and reliable. The presented methodology is demonstrated via a case study related to anti-islanding protection of a power plant. The base case latency and stochastic latency were calculated and compared. This investigation reveals that a failure in the communications network can compromise the performance of the protection function without proper mitigation strategies such as utilizing devices with higher reliability, considering redundant parts, equipping network devices with monitoring and indication systems, and deploying GOOSE as opposed to ARQ.
Keywords
failure analysis; power generation protection; power generation reliability; power plants; stochastic processes; substation automation; ARQ; GOOSE; IEC61850; antiislanding protection function; communications design architecture; communications network; failure analysis; mission-critical protection functions; network devices; power plant; stochastic latency assessment; substation automation systems; Delay; Power generation; Reliability; Stochastic processes; Substations; Switches; Synthetic aperture sonar; Ethernet; Local area networks; Protection system; Rapid spanning tree; Stochastic latency; Substation automation systems; substation communications;
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.2012.6344716
Filename
6344716
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