Robust software-defined optical networking for the power grid

The operation of smart power grids will depend on a reliable and flexible communication infrastructure for monitoring and control. Software defined networking (SDN) is emerging as a promising control platform, facilitating network programmability and bandwidth flexibility. We study SDN optical transmission reliability for smart grid applications. We identify the collaboration of the control plane and the data plane in software-defined optical transmission systems as a cyber-physical interdependency where the `physical' fiber network provides the `cyber' control network with means to distribute control and signaling messages and in turn is itself operated by these `cyber' control messages. We examine the robustness of such an interdependent communication system and quantify the advantages of optical layer reconfigurability.

[1]  Eytan Modiano,et al.  Robustness of interdependent networks: The case of communication networks and the power grid , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[2]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

[3]  Eytan Modiano,et al.  Survivable Path Sets: A New Approach to Survivability in Multilayer Networks , 2014, Journal of Lightwave Technology.

[4]  R. Nejabati,et al.  Software-defined optical networks technology and infrastructure: Enabling software-defined optical network operations [invited] , 2013, IEEE/OSA Journal of Optical Communications and Networking.

[5]  Mohammad A. S. Masoum,et al.  Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile , 2011, IEEE Transactions on Smart Grid.

[6]  A. Leon-Garcia,et al.  Probability, statistics, and random processes for electrical engineering , 2008 .

[7]  Dimitra Simeonidou.  Bristol is open , 2015 .

[8]  Song Guo,et al.  Byzantine-Resilient Secure Software-Defined Networks with Multiple Controllers in Cloud , 2014, IEEE Transactions on Cloud Computing.

[9]  Nan Hua,et al.  Intelligent inter-domain connection provisioning for multi-domain multi-vendor optical networks , 2015, IEEE/OSA Journal of Optical Communications and Networking.

[10]  Xiaowen Dong,et al.  IP Over WDM Networks Employing Renewable Energy Sources , 2011, Journal of Lightwave Technology.

[11]  Nabil Bitar,et al.  Extending software defined network principles to include optical transport , 2013, IEEE Communications Magazine.

[12]  Anja Feldmann,et al.  Logically centralized?: state distribution trade-offs in software defined networks , 2012, HotSDN '12.

[13]  Daoyun Hu,et al.  Leveraging master-slave OpenFlow controller arrangement to improve control plane resiliency in SD-EONs. , 2015, Optics express.

[14]  Weidong Xiao,et al.  Communication systems for grid integration of renewable energy resources , 2011, IEEE Network.

[15]  Biswanath Mukherjee,et al.  Cascading-failure-resilient interconnection for interdependent power grid - Optical networks , 2015, 2015 Optical Fiber Communications Conference and Exhibition (OFC).

[16]  Xirong Que,et al.  On reliability-optimized controller placement for Software-Defined Networks , 2014, China Communications.

[17]  Reza Nejabati,et al.  Software defined optical networks technology and infrastructure: Enabling software-defined optical network operations , 2013 .

[18]  Khosrow Moslehi,et al.  A Reliability Perspective of the Smart Grid , 2010, IEEE Transactions on Smart Grid.

[19]  Eytan Modiano,et al.  Mitigating cascading failures in interdependent power grids and communication networks , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[20]  Stefan Schmid,et al.  Exploiting locality in distributed SDN control , 2013, HotSDN '13.