Skip to main content

A Service Quality Indicator for Apriori Assessment and Comparison of Cellular Energy Grids

Part of the Smart Innovation, Systems and Technologies book series (SIST,volume 131)

Abstract

Cellular Energy Grids represent one of the most recent operational concepts for building smart energy grids. However, due to the complexity of those systems, their design and evaluation is not a trivial task. In this context, the paper aims to identify and discuss factors that are already available in the planning phase of a network and have a strong impact on its overall service quality. On the basis of such factors, a specific service quality indicator is defined to enable the comparison of different cellular grids. The experimentation of that indicator is then contextually shown through its application on various network configurations.

Keywords

  • Quality indicator
  • Smart Grid
  • Quality assessment
  • Network planning

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-04293-6_32
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   219.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-04293-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   279.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.

References

  1. ISO/IEC/IEEE 24765:2017- systems and software engineering – vocabulary (2017). www.iso.org/standard/71952.html. Accessed 30 Nov 2017

  2. Alonge, G., Ciancamerla, E., Mastrilli, A., Minichino, M., Nicotra, A., Ranno, M., Reali, M., Regina, P.: Towards energy efficiency of interdependent urban networks. Int. J. Simul. Process Model. 11(6), 529–546 (2016)

    CrossRef  Google Scholar 

  3. Basu, K., Maqousi, A., Balikhina, T., Ball, F.: Network level quality of service (QoS) challenges for smart grid measurement and control systems. In: 2nd International Conference on the Applications of Information Technology in Developing Renewable Energy Processes Systems (IT-DREPS), pp. 1–5 (2017)

    Google Scholar 

  4. Clark, A., Zonouz, S.: Cyber-physical resilience: definition and assessment metric. IEEE Trans. Smart Grid PP(99), 1 (2017)

    CrossRef  Google Scholar 

  5. Crucitti, P., Latora, V., Marchiori, M.: A topological analysis of the italian electric power grid. Phys. A Stat. Mech. Appl. 338(1), 92–97 (2004)

    CrossRef  Google Scholar 

  6. Farraj, A., Hammad, E., Kundur, D.: Performance metrics for storage-based transient stability control. In: Proceedings of the 2nd ACM Workshop on Cyber-Physical Security and Resilience in Smart Grids, pp. 9–14. ACM, New York (2017)

    Google Scholar 

  7. Friedberg, I., McLaughlin, K., Smith, P.: A cyber-physical resilience metric for smart grids. In: IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1–5 (2017)

    Google Scholar 

  8. Fulginei, F.R., Laudani, A., Biagetti, R., Altomonte, D., Salvini, A.: Minimization of joule losses in smart grid systems by the metric - topological - evolutionary optimization. In: IEEE International Energy Conference and Exhibition (ENERGYCON), pp. 337–342 (2012). https://doi.org/10.1109/EnergyCon.2012.6347778

  9. Karnouskos, S.: Cyber-physical systems in the smartgrid. In: 9th IEEE International Conference on Industrial Informatics, pp. 20–23 (2011)

    Google Scholar 

  10. Khemapataphan, B., Kheaksong, A., Thakulsukanant, K., Lee, W.: Weight ranking mechanism of energy balancing routing metric for RPL protocol in smart grid communications. In: 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 640–644 (2017)

    Google Scholar 

  11. Okabayashi, V.H., Ribeiro, I.C.G., Passos, D.M., Albuquerque, C.V.N.: A resilient dynamic gateway selection algorithm based on quality aware metrics for smart grids. In: Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2015, pp. 91–98. ACM, New York (2015)

    Google Scholar 

  12. Rekik, S., Baccour, N., Jmaiel, M., Drira, K.: Holistic link quality estimation-based routing metric for RPL networks in smart grids. In: IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–6 (2016)

    Google Scholar 

  13. Rui, H., Arnold, M., Wellssow, W.H.: Synthetic medium voltage grids for the assessment of smart grid techniques. In: 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), pp. 1–8 (2012)

    Google Scholar 

  14. Rui, H., Wellssow, W.H.: A smart grid metrics assessment of distribution automation for reliability improvement. In: International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1–8 (2016)

    Google Scholar 

  15. Schwab, A.J.: Elektroenergiesysteme: Erzeugung, Übertragung und Verteilung elektrischer Energie. Springer (2017)

    Google Scholar 

  16. Tomić, J., Kempton, W.: Using fleets of electric-drive vehicles for grid support. J. Power Sources 168(2), 459–468 (2007)

    CrossRef  Google Scholar 

  17. Ullah, R., Faheem, Y., Kim, B.S.: Energy and congestion-aware routing metric for smart grid AMI networks in smart city, pp. 13799–13810. IEEE (2017)

    Google Scholar 

  18. Vanthournout, K., D’hulst, R., Geysen, D., Jacobs, G.: A smart domestic hot water buffer. IEEE Trans. Smart Grid 3(4), 2121–2127 (2012)

    Google Scholar 

Download references

Acknowledgement

This work is based on the Software Campus project “ADRAS”, which is funded by the German Federal Ministry of Education and Research (BMBF) under grand no. “01IS17050”.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Rolf Egert , Andrea Tundis , Stefan Roth or Max Mühlhäuser .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Egert, R., Tundis, A., Roth, S., Mühlhäuser, M. (2019). A Service Quality Indicator for Apriori Assessment and Comparison of Cellular Energy Grids. In: Kaparaju, P., Howlett, R., Littlewood, J., Ekanyake, C., Vlacic, L. (eds) Sustainability in Energy and Buildings 2018. KES-SEB 2018. Smart Innovation, Systems and Technologies, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-030-04293-6_32

Download citation