Tailoring DDS to Smart Grids for Improved Communication and Control

Alaa Alaerjan, Dae-Kyoo Kim

Abstract

Adopting new technologies in smart grid (SG) enables the improvement of reliable communication. A key factor for SG efficiency is reliable data exchange between different components and domains in the system. SG must allow remote and quick reaction for different events. This is not a trivial task especially with large scale power grids, which requires SG to have a reliable communication protocol. Data Distribution Service (DDS) is introduced as a data-centric middleware standard based on publish-subscribe protocol to address communication needs for distributed applications. DDS supports reliable data exchange between different components using various features such as quality-of-service (QoS). In this paper, we describe how DDS can be tailored to support SG to improve the communication of devices in SG. We first give an overview of DDS and discuss the benefits of applying it to the communication system in SG. We then describe communication requirements and constraints in SG. and discuss how DDS can be tailored to SG with respect to the requirements and constraints.

References

  1. A. Alkhawaja, L. Ferreira, M. A. Message oriented middleware with qos support for smart grids. Conference on Embedded Systems and Real Time, Caparica, Portugal, pages 1 - 13.
  2. Bakken, D., Schantz, R., and Tucker, R. (2009). Smart grid communications:qos stovepipes or qos interoperability. Technical Report TR-GS-013, Washington State University.
  3. Corsaro, A. (2014). The data distribution service tutorial. Technical Report 4.0, PrismTech, http:// creativecommons.org/licenses/by-sa/4.0.
  4. DNV.GL (2014). A review of distributed energy resources. Technical Report 6.1, DNV GL, https:// www.dnvgl.com/energy/.
  5. Ek, E. B. (2014). Utilization of Phasor Measurement Unit Measurements as Basis for Power System State Estimation Interface. PhD thesis, Norwegian University of Science and Technology, Norway.
  6. Ericsson, G. N. (2010). Cyber security and power system communicationessential parts of a smart grid infrastructure. IEEE Trs. on Power Delivery, 25(3):1501- 1507.
  7. Fang, X., Misra, S., Xue, G., and Yang, D. (2012). Smart grid the new and improved power grid: A survey. IEEE Communications Surveys and Tutorials, 14(4):944 - 980.
  8. IEEE-Power-Engineering-Society (2004). IEEE standard communication delivery time performance requirements for electric power substation automation. Technical Report 1646.
  9. Lu, X., Lu, Z., Wang, W., and Ma, J. (2011). On network performance evaluation toward the smart grid: A case study of dnp3 over tcp/ip. Global Telecommunications Conference, IEEE, Houston, TX, pages 1 - 6.
  10. Modbus-IDA (2006). Modbus protocol specification. http://www.modbus.org/docs/Modbus Application P/- rotocol V1 1b.pdf accessed: 12/02/2015.
  11. NIST (2010). Nist framework and roadmap for smart grid interoperability standards. Release 1.0, National Institute of Standards and Technology.
  12. Object-Managment-Group (2014). The real-time publishsubscribe protocol (RTPS) DDS interoperability wire protocol specification. Version 2.2 formal/2014-09- 01.
  13. Object-Managment-Group (2015). Data Distribution Service (DDS). Version 1.4 formal/2015-04-10.
  14. Rihan, M., Ahmad, M., and Beg, M. (2011). Phasor measurement units in the indian smart grid. Innovative Smart Grid Technologies - India, 2011 IEEE PES, pages 261 - 267.
  15. Schwarz, K. (2004). IEC 61850 Communication Networks and Systems in Substations. 1.1 2004-03- 22, International Electrotechnical Commission, http:// www.iec.ch/smartgrid/standards/.
  16. Twin Oaks Computing, I. (2011). What can dds do for you. Technical Report 6, www.twinoakscomputing.com.
  17. US.DOE (2004). Assessment study on sensors and automation in the industries of the futur. Technical report, Dep. of Energy Efficiency and Renewable Energy.
  18. World-Bank (2015). Electric power transmission and distribution losses. Technical report, The World Bank.
  19. Yu, F., Zhang, P., Xiao, W., and Choudhury, P. (2011). Communication systems for grid integration of renewable energy resources. IEEE Network, 25:22 - 29.
Download


Paper Citation


in Harvard Style

Alaerjan A. and Kim D. (2016). Tailoring DDS to Smart Grids for Improved Communication and Control . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 433-438. DOI: 10.5220/0005891204330438


in Bibtex Style

@conference{smartgreens16,
author={Alaa Alaerjan and Dae-Kyoo Kim},
title={Tailoring DDS to Smart Grids for Improved Communication and Control},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2016},
pages={433-438},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005891204330438},
isbn={978-989-758-184-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Tailoring DDS to Smart Grids for Improved Communication and Control
SN - 978-989-758-184-7
AU - Alaerjan A.
AU - Kim D.
PY - 2016
SP - 433
EP - 438
DO - 10.5220/0005891204330438