Skip to main content
Log in

Robust QoS-aware communication in the smart distribution grid

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

The increasing penetration of distributed generation into the power distribution domain necessitates reliable and QoS-aware communication in order to safely manage the grid. To achieve this, heterogeneous networks (a combination of the Internet and private networks) offer a promising approach due to the potential cost effectiveness and leveraging the ubiquitous coverage. However, the current Internet infrastructure does not support end-to-end (E2E) QoS-guaranteed communication. To cope with this challenge, we propose a novel overlay network architecture, termed HetGrid, with a dedicated QoS routing mechanism. It provides QoS guarantees across the network, taking into account three parameters: reliability, latency and bandwidth for power distribution grid applications. To achieve this, we also develop two elements, namely (a) multipath routing mechanism compensating the critical applications for their high reliability requirements by employing E2E physically-disjoint paths, and (b) altruistic resource allocation with the QoS routing mechanism targeting QoS-guaranteed communication for applications having strict QoS requirements. Our results demonstrate that the proposed overlay network approach provides highly efficient, reliable and QoS-aware communication in heterogeneous networks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Notes

  1. In this work, heterogeneous networks implies a composite of public (on the Internet) or private networks.

  2. In this paper, TCP is used to refer to TCP Vegas.

  3. As Internet service providers (ISP) can assure re-convergence time in the range of a few seconds by employing MPLS within AS, we do need to use any overlay routing inside the cluster. However, for high priority applications, HGN still sends the messages over d SN’s that provide disjoint paths over a given AS routers.

  4. k paths are found by using the k shortest path algorithm and equation 1. We do not put a limit on k to pave the way for obtaining more disjoint paths. In our implementation, k is observed between 5-20

References

  1. Gungor VC et al (2013) A survey on smart grid potential applications and communication requirements. IEEE Trans Ind Inf 9(1):28–42

    Article  MathSciNet  Google Scholar 

  2. Budka KC et al (2010) Communication network architecture and design principles for smart grids. J Bell Labs Tech 15(2):205–228

    Article  Google Scholar 

  3. US Dept. of Energy (July 12, 2010) Implementing the National Broadband Plan by Studying the Communications Requirements of Electric Utilities To Inform Federal Smart Grid Policy. Tech. rep. Retrieved June 14, 2015, http://energy.gov/sites/prod/files/gcprod/documents/UtilitiesTelecom_Comments_CommsReqs.pdf

  4. Yannan W (2015) Decentralized communication and control systems for power system operation. IEEE Trans Smart Grid 6(2):885–893

    Article  MathSciNet  Google Scholar 

  5. Wang G et al (2013) An efficient relay node selection scheme to improve the performance of P2P-based VoIP applications in Chinese internet. Multimedia Tools Appl 64(3):599–625

    Article  Google Scholar 

  6. Differentiated services (DiffServ) Retrieved June 14, 2015, from http://www.ietf.org/html.charters/diffserv-charter.html

  7. Integrated Services (IntServ), Retrieved June 14, 2015, from http://www.ietf.org/html.charters/intserv-charter.html

  8. Multiprotocol Label Switching Architecture (MPLS), Retrieved June 14, 2015, from https://www.ietf.org/rfc/rfc3031.txt

  9. Vallejo A et al (2012) Next-generation QoS control architectures for distribution smart grid communication networks. IEEE Commun Mag 50(5):128–134

    Article  Google Scholar 

  10. Bakken D E et al (2011) Smart generation and transmission with coherent, real-time data. Proc IEEE 99(6):928–951

    Article  Google Scholar 

  11. Dantas WS et al (2009) Not quickly, just in time: Improving the timeliness and reliability of control traffic in utility networks. In: Proceedings of the 5th Workshop on Hot Topics in System Dependability HotDep09

  12. Andersen DG et al (2001) Resilient overlay network. In: Proceedings of the ACM SOSP, pp 131–145

  13. Li Z, Mohapatra P (2004) QRON: QoS-aware routing in overlay networks. IEEE J Sel Areas Commun 22(1):29–40

    Article  Google Scholar 

  14. Subramanian L et al (2004) OverQoS: an overlay based architecture for enhancing internet QoS. NSDI 4(6):71–84

    Google Scholar 

  15. Vulimiri A et al (2012) More is less: reducing latency via redundancy. In: Proceedings of ACM workshop on hot topics in networks, pp 13–18

  16. Lee S, Kang S (2012) NGSON: features, state of the art, and realization. Commun Mag IEEE 50(1):54–61

    Article  Google Scholar 

  17. Brakmo L S, O’Malley S W, Peterson L L (1994). TCP Vegas: New techniques for congestion detection and avoidance 24(4):24– 35

    Google Scholar 

  18. Demir K et al (2014) Robust and real-time communication on heterogeneous networks for smart distribution grid smart. In: IEEE International Conference on Grid Communications (SmartGridComm), pp 392–397

  19. Kanabar PM et al (2009) Evaluation of Communication Technologies for IEC 61850 Based Distribution Automation System with Distributed Energy Resources. Proceedings of the IEEE PES General Meeting, Calgary, pp 26–30

  20. US Dept. of Energy (October 5, 2010) Communications Requirements of Smart Grid Technologies. Tech. rep. Retrieved June 14, 2015, http://energy.gov/sites/prod/files/gcprod/documents/Smart_Grid_Communications_Requirements_Report_10-05-2010.pdf

  21. Khan R H, Khan J Y (2013) A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network. Comput Netw 57(3):825–845

    Article  MathSciNet  Google Scholar 

  22. Qiang Y, et al. (2011) Communication infrastructures for distributed control of power distribution networks. IEEE Trans Ind Informatics 7(2):316–327

    Article  Google Scholar 

  23. Zhao BY et al (2002) Brocade: landmark routing on overlay networks. In: Proceedings of IPTPS, pp 33–34

  24. Ren S et al (2006) Asap: an as-aware peer-relay protocol for high quality voip. In Proceedings of International Conference on Distributed Computing Systems, pp 70–79

  25. Han J et al (2008) Enhancing end-to-end availability and performance via topology-aware overlay networks. Comput Netw 52(16):3029–3046

    Article  MATH  Google Scholar 

  26. Baumgart I et al (2007) OverSim: a flexible overlay network simulation framework. In: Proceedings of GI at INFOCOM, pp 79–84

  27. Pongor G (1993) OMNeT: objective modular network testbed. In: Proceedings of MASCOTS, pp 323–326

  28. Elmannai W, Razaque A, Elleithy K (2011) Simulation based Study of TCP Variants in Hybrid Network. In: Proceedings of international conference on ASEE’11 northeast section conference

  29. Medina A et al (2001) BRITE: an approach to universal topology generation. In: Proceedings of MASCOTS, pp 346–353

  30. Ciontea C, et al. (2015) Smart grid control and communication: the SmartC2net Real-Time HIL approach. In: PowerTech’15 IEEE Eindhoven, pp 1–6

  31. Stefanovic C, et al. (2014) SUNSEED An evolutionary path to smart grid comms over converged telco and energy provider networks. In: 4th international conference on Wireless communications, vehicular technology, information theory and aerospace & electronic systems (VITAE), pp 1–5

  32. Albano M, Ferreira L L, Pinho L M, Alkhawaja A R (2015) Message-oriented middleware for smart grids. Computer Standards & Interfaces 38:133–143

    Article  Google Scholar 

  33. Predojev T, Al-Hezmi A, Alonso-Zarate J, Dohler M (2014) A real-time middleware platform for the smart grid. In: 2014 IEEE online conference on green communications (OnlineGreencomm), pp 1–6

  34. Kim Y et al (2012) SeDAX: a scalable, resilient, and secure platform for smart grid communications selected areas in communications. J IEEE 30(6):1119–1136

    MathSciNet  Google Scholar 

  35. Deconinck G et al (2010) Communication overlays and agents for dependable smart power grids. 5th international conference on critical, pp 1–7

  36. El H et al (2008) Efficient QoS Implementation for MPLS VPN. 22nd international conference on advanced information networking and applications (AINAW):259–263

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kubilay Demir.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Demir, K., Germanus, D. & Suri, N. Robust QoS-aware communication in the smart distribution grid. Peer-to-Peer Netw. Appl. 10, 193–207 (2017). https://doi.org/10.1007/s12083-015-0418-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-015-0418-z

Keywords

Navigation