Abstract
Cyber-physical systems (CPS) can improve the reliability of our critical infrastructure systems. By augmenting physical distribution systems with digital control through computation and communication, one can improve the overall reliability of a network. However, a system designer must consider what effects system unreliability in the cyber-domain can have on the physical distribution system. In this work, we examine the consequences of network unreliability on a core part of a Distributed Grid Intelligence (DGI) for the FREEDM (Future Renewable Electric Energy Delivery and Management) Project. To do this, we apply different rates of packet loss in specific configurations to the communication stack of the software and observe the behavior of a critical component (Group Management) under those conditions. These components will allow us to identify the amount of time spent in a group, working, as a function of the network reliability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akella, R., Meng, F., Ditch, D., McMillin, B., Crow, M.: Distributed power balancing for the FREEDM system. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 7–12 (October 2010)
Centre, M.H.R.: Pscad.com (May 2012), http://pscad.com
Dawes, B., Abrahams, D., Rivera, R.: Boost c++ libraries (May 2012), http://www.boost.org
Garcia-Molina, H.: Elections in a distributed computing system. IEEE Transactions on Computers C-31(1), 48–59 (1982)
Hansen, C.V., Forcier, J.E.: Fabric (May 2012), http://fabfile.org
Kubler, S., Pahwa, S., Schulz, N., Scoglio, C.: A simulative analysis of the robustness of smart grid communication networks. In: North American Power Symposium (NAPS), pp. 1–7 (August 2011)
Singh, C., Sprintson, A.: Reliability assurance of cyber-physical power systems. In: 2010 IEEE Power and Energy Society General Meeting, pp. 1–6 (July 2010)
Technologies, R.: Power systems simulator software: Rscad software suite (May 2012), http://www.rtds.com/software/rscad/rscad.html
Yan, Y., Qian, Y., Sharif, H., Tipper, D.: A survey on smart grid communication infrastructures: Motivations, requirements and challenges. IEEE Communications Surveys Tutorials PP(99), 1–16 (2012)
Zhang, Z., Chow, M.Y.: Incremental cost consensus algorithm in a smart grid environment. In: 2011 IEEE Power and Energy Society General Meeting, pp. 1–6 (July 2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jackson, S., McMillin, B.M. (2013). The Effects of Network Link Unreliability for Leader Election Algorithm in a Smart Grid System. In: Hämmerli, B.M., Kalstad Svendsen, N., Lopez, J. (eds) Critical Information Infrastructures Security. Lecture Notes in Computer Science, vol 7722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41485-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-41485-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41484-8
Online ISBN: 978-3-642-41485-5
eBook Packages: Computer ScienceComputer Science (R0)