DocumentCode :
1774510
Title :
A dynamic topology discovery method for smart substation networks
Author :
Yi Yang ; Lei Gao ; Yuba Yuan ; Daonong Zhang ; Qiangsheng Bu ; McLaughlin, Keiran
Author_Institution :
State Grid Jiangsu Electr. Power Co. Res. Inst., Nanjing, China
fYear :
2014
fDate :
23-26 Sept. 2014
Firstpage :
1070
Lastpage :
1074
Abstract :
With interoperation and interconnectivity of intelligent electronic devices (IEDs) in smart substations increasing, switch networks in smart substations are gradually becoming difficult to manage and maintain. This paper presents a dynamic topology discovery method tailored for smart substation networks based on MAC address matching, which goes beyond topology discovery algorithms for conventional switch networks in IT areas. This approach can automatically discover network topologies of smart substations, using matching information from MAC access tables of switches, captured network messages, and substation configuration files (SCD). According to the proposed topology discovery approach, Linux-based software is designed and developed to display network topologies in real time and identify network failure tailored for smart substations. The proposed method and developed software are validated and verified by experiments in the test-bed.
Keywords :
Linux; access protocols; power engineering computing; substations; switching networks; telecommunication network topology; IEDs; IT areas; Linux-based software; MAC address matching; SCD; dynamic topology discovery method; intelligent electronic devices; matching information; media access control protocol; network failure; smart substation networks; substation configuration files; switch networks; Abstracts; IP networks; Network topology; Ports (Computers); Switches; Topology; Visualization; IED; Smart Substation; Switch network; Topology Discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CICED.2014.6991869
Filename :
6991869
Link To Document :
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