TY - GEN
T1 - SDN based dynamic and autonomous bandwidth allocation as ACSI services of IEC61850 communications in smart grid
AU - Li, Gaolei
AU - Wu, Jun
AU - Guo, Longhua
AU - Li, Jianhua
AU - Wang, Hongkai
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China (Grant No.61431008 and 61401273)
Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/12
Y1 - 2016/10/12
N2 - Fine-grained multiple dimensional monitoring and control of power infrastructures enables the scale of network traffic to grow at an exponential way in smart grid. However, bandwidth remains a constrained resource which is infeasible to provision at liberty in IEC61850 based substation. Motivated by the observation that it is important to allocate appropriate bandwidth for each terminal device according to the whole network states and service priority, we propose a novel dynamic bandwidth allocation scheme, which is based on software defined networks (SDN) and IEC61850 to guarantee high bandwidth utilization in substation networks. In the proposed scheme, network elements are interconnected and interoperated with power infrastructures seamlessly through the general abstract communication service interfaces (ACSI). Moreover, a modified SDN controller is designated to monitor and control states of both station-level network and process-level, in which dynamic bandwidth allocation policy are formulated to ACSI services. On one hand, the controller serves for diverse applications of Intelligence Electric Devices (IEDs) autonomously. On the other hand, every IED needs to report its bandwidth requirements to controller. Besides, an efficient communication mechanism is also proposed for information exchange between IEDs and modified controller. Therefore, bandwidth for each traffic flow can be configured according to the whole network states in real time. Moreover, traffic flows can be forwarded through multiple routing paths. To evaluate the performance of proposed scheme, bandwidth utilization of MMS, GOOSE and SAV communications are simulated. Simulation results show bandwidth utilization for MMS, GOOSE and SAV is improved significantly.
AB - Fine-grained multiple dimensional monitoring and control of power infrastructures enables the scale of network traffic to grow at an exponential way in smart grid. However, bandwidth remains a constrained resource which is infeasible to provision at liberty in IEC61850 based substation. Motivated by the observation that it is important to allocate appropriate bandwidth for each terminal device according to the whole network states and service priority, we propose a novel dynamic bandwidth allocation scheme, which is based on software defined networks (SDN) and IEC61850 to guarantee high bandwidth utilization in substation networks. In the proposed scheme, network elements are interconnected and interoperated with power infrastructures seamlessly through the general abstract communication service interfaces (ACSI). Moreover, a modified SDN controller is designated to monitor and control states of both station-level network and process-level, in which dynamic bandwidth allocation policy are formulated to ACSI services. On one hand, the controller serves for diverse applications of Intelligence Electric Devices (IEDs) autonomously. On the other hand, every IED needs to report its bandwidth requirements to controller. Besides, an efficient communication mechanism is also proposed for information exchange between IEDs and modified controller. Therefore, bandwidth for each traffic flow can be configured according to the whole network states in real time. Moreover, traffic flows can be forwarded through multiple routing paths. To evaluate the performance of proposed scheme, bandwidth utilization of MMS, GOOSE and SAV communications are simulated. Simulation results show bandwidth utilization for MMS, GOOSE and SAV is improved significantly.
KW - ACSI services
KW - bandwidth allocation
KW - IEC61850
KW - SDN
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=84995610147&partnerID=8YFLogxK
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U2 - 10.1109/SEGE.2016.7589549
DO - 10.1109/SEGE.2016.7589549
M3 - Conference contribution
AN - SCOPUS:84995610147
T3 - 2016 4th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2016
SP - 342
EP - 346
BT - 2016 4th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2016
Y2 - 21 August 2016 through 24 August 2016
ER -