DocumentCode
3600921
Title
Analytical Modeling of Traffic Flow in the Substation Communication Network
Author
Yanxu Zhang ; Zexiang Cai ; Xiaohua Li ; Ruiwen He
Author_Institution
Sch. of Electr. Power Eng., South China Univ. of Technol., Guangzhou, China
Volume
30
Issue
5
fYear
2015
Firstpage
2119
Lastpage
2127
Abstract
A custom-designed and well-monitored substation communication network (SCN) can maintain fast and reliable information transmission and lead to improved operation and management of a substation automation system (SAS). In order to achieve this goal, a traffic-flow model, including a port connection model, a traffic-flow source model, and a traffic-flow service model of an SCN is developed in this paper. Based on the traffic-flow model, a traffic-flow calculation algorithm is designed to obtain the distribution of traffic load and maximum message delay. In order to verify the accuracy of the proposed method, the SCN of a simplified substation is established in the laboratory. And the distribution of traffic load and maximum message delay calculated using the proposed method are compared to that measured by a network analyzer. Furthermore, possible applications, such as network device selection, network performance analysis, and sensitivity analysis of the proposed method are demonstrated based on a typical 220-kV substation.
Keywords
sensitivity analysis; substation automation; information transmission; maximum message delay; network analyzer; network device selection; network performance analysis; port connection model; sensitivity analysis; substation automation system; substation communication network; traffic load distribution; traffic-flow calculation algorithm; traffic-flow service model; traffic-flow source model; voltage 220 kV; Analytical models; Delays; Load modeling; Object oriented modeling; Ports (Computers); Substations; Synthetic aperture sonar; IEC 61850; maximum message delay distribution; substation automation system (SAS); traffic load distribution; traffic-flow analytical model;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2014.2377475
Filename
6977952
Link To Document