Energy Aware Communication in the Smart Grid

Zoya Pourmirza, John M. Brooke

Abstract

Recently some countries have investigated the transformation of their existing power grid to the so-called Smart Grid. A Smart Grid adds a communication network, which is the integration of a monitoring and control network, to the power network. In this research we have developed and implemented a communication network architecture for the neighbourhood sub-Grid level of the electrical network where monitoring has not previously been deployed. Since energy efficiency has been identified as one of the major limitations of such networks we have utilized a number of different techniques to tackle this problem. As such, we analyse the optimal topology of network for collecting and transmitting data to the local control unit for applying finer-grained control. Also, we have developed a data reduction algorithm suitable for Smart Grid applications, which can significantly improve the energy efficiency of the communication network by minimizing the communication energy cost and optimizing the network resource consumption while maintaining the integrity and quality of data. To the best of our knowledge, our work is one of the very first efforts to propose an energy efficient ICT architecture, combining power grid objectives, real data characteristics, and application-aware considerations.

References

  1. What is NI LabVIEW? [Online]. National Instruments. Available: http://www.ni.com/labview/whatis/ [Accessed 02/07/2011].
  2. Abbasi, A. A. & Younis, M. (2007) A survey on clustering algorithms for wireless sensor networks. Computer Communication, 30(14-15), 2826-2841.
  3. Abdelgawad, A. & Bayoumi, M. (2012) Data Fusion in WSN. Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks. Springer.
  4. Allalouf, M., Gershinsky, G., Lewin-Eytan, L. & Naor, J. (2011) Data-quality-aware volume reduction in smart grid networks. In: IEEE International Conference on Smart Grid Communications (SmartGridComm) 17- 20 October 2011 Brussels, Belgium. IEEE, 120-125.
  5. Anastasi, G., Conti, M., Di Francesco, M. & Passarella, A. (2006) How to prolong the lifetime of wireless sensor networks. Valencia, CA: American Scientific Publishers.
  6. IBM. (2012) Managing big data for smart grids and smart meters. Information Management. USA.
  7. LabVIEW. (2007) LabVIEW Fundamentals. Austin, Texas: National Instruments Corporation.
  8. MADDEN, S. R., FRANKLIN, M. J., HELLERSTEIN, J. M. & HONG, W. (2005) TinyDB: An Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems, 30(1), 122-173.
  9. McNamara, K. & Meynardi, A. (2010) Navigating the Road to Smart Grid: Modernizing the Critical Communication Infrastructure. Smart Grid. USA: Verizon.
  10. Miao, G., Himayat, N., Li, Y. & Swami, A. (2009) Crosslayer optimization for energy-efficient wireless communications: a survey. Wireless Communications and Mobile Computing, 9(4), 529-542.
  11. Miller, J., Pullins, S. & Bossart, S. (2008) ? The Modern grid ? U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability. U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability.
  12. Naoto, K. & Shahram, L. (2005) A survey on data compression in wireless sensor networks. In: Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on, 4-6 April 2005 2005. IEEE Computer Society, 8-13.
  13. Pourmirza, Z. & Brooke, J. M. (2013a) Data Reduction for an ICT Network in the Smart Grid. In: The 9th International Conference on Intelligent Environments - IE'13, 2013a Athens, Greece. IEEE Explore.
  14. Pourmirza, Z. & Brooke, J. M. (2013b) Monitoring and Visualising a Neighbourhood Area Sub-Grid. SMARTGREENS 2013-2nd International Conference on Smart Grids and Green IT Systems. Aachen, Germany: SCITEPRESS - Science and Technology Publications.
  15. Pourmirza, Z. & Brooke, J. M. (2013c) A Realistic ICT Network Design and Implementation in the Neighbourhood Area of the Smart Grid. Smart Grid and Renewable Energy, 4(6), 436-448.
  16. Pourmirza, Z. & Brooke, J. M. (2013d) The Wireless Sensor Network and Local Computational Unit in the Neighbourhood Area Network of the Smart Grid. In: International Conference on Sensor Networks (SENSORNETS), 2013d Barcelona, Spain. SCITEPRESS - Science and Technology Publications, 84-88.
  17. Tan, H. O., Korpeoglu, I. & Stojmenovic, I. (2007) A Distributed and Dynamic Data Gathering Protocol for Sensor Networks. Proceedings of the 21st International Conference on Advanced Networking and Applications. IEEE Computer Society.
  18. Thangaraj, M. & Ponmalar, P. P. (2011) A Survey on data aggregation techniques in wireless sensor networks. International Journal of Research and Reviews in Wireless Sensor Networks (IJRRWSN), 1(3), 36-42.
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Paper Citation


in Harvard Style

Pourmirza Z. and M. Brooke J. (2014). Energy Aware Communication in the Smart Grid . In Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-025-3, pages 131-138. DOI: 10.5220/0004937501310138


in Bibtex Style

@conference{smartgreens14,
author={Zoya Pourmirza and John M. Brooke},
title={Energy Aware Communication in the Smart Grid},
booktitle={Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2014},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004937501310138},
isbn={978-989-758-025-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - Energy Aware Communication in the Smart Grid
SN - 978-989-758-025-3
AU - Pourmirza Z.
AU - M. Brooke J.
PY - 2014
SP - 131
EP - 138
DO - 10.5220/0004937501310138