Skip to main content

A Strategic Urban Grid Planning Tool to Improve the Resilience of Smart Grid Networks

  • Conference paper
  • First Online:
Smart Cities, Green Technologies, and Intelligent Transport Systems (SMARTGREENS 2017, VEHITS 2017)

Abstract

The unresponsive and poor resilience of the traditional city architecture may cause instability and failure. Therefore, strategical positioning of new urban electricity or city components do not only make the city more resilient to electricity outages, but also a step towards a greener and a smarter city. Money and resilience are two conflicting goals in this case. In case of blackouts, distributed energy resources can serve critical demand to essential city components such as hospitals, water purification facilities, fire and police stations. In addition, the city level stakeholders may need to envision monetary saving and the overall urban planning resilience related to city component changes. In order to provide decision makers with resilience and monetary information, it is needed to analyze the impact of modifying the city components. This paper introduces a novel tool suitable for this purpose and reports on the validation efforts through a stakeholder workshop. The outcomes indicate that predicted outcomes of two alternative solutions can be analyzed and compared with the assistance of the tool.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Amado, M., Poggi, F.: Solar urban planning: a parametric approach. Energy Procedia 48, 1539–1548 (2014)

    Article  Google Scholar 

  2. Argonne National Laboratory (ANL): Resilient infrastructure capabilities (2016). http://www.anl.gov/egs/group/resilient-infrastructure/resilient-infrastructure-capabilities. Accessed 19 Jan 2017

  3. Barjis, J.: Collaborative, participative and interactive enterprise modeling. In: Filipe, J., Cordeiro, J. (eds.) ICEIS 2009. LNBIP, vol. 24, pp. 651–662. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01347-8_54

    Chapter  Google Scholar 

  4. Bennett, B.: Understanding, Assessing, and Responding to Terrorism: Protecting Critical Infrastructure and Personnel. Wiley, Hoboken (2007)

    Book  Google Scholar 

  5. Bollinger, L.A.: Fostering climate resilient electricity infrastructure (2015). http://repository.tudelft.nl/islandora/object/uuid:d45aea59-a449-46ad-ace1-3254529c05f4/datastream/OBJ/download. Accessed 06 Dec 2016

  6. DNV GL: Microgrid optimizer - a holistic operational simulation tool to maximize economic value or electrical power reliability (2016).. http://production.presstogo.com/fileroot7/gallery/DNVGL/files/original/3a1dd794f6ff46b9a279175c15af0f11.pdf. Accessed 05 Dec 2016

  7. Dugan, R., McGranaghan, M.: Sim city. IEEE Power Mag. 9(5), 74–81 (2011)

    Article  Google Scholar 

  8. ETAP Grid: Power technologies international (2015). http://etap.com/Documents/Download%20PDF/ETAP-Grid-2015-LQ.pdf (2015). Accessed 19 Jan 2017

  9. IEC: White paper - microgrids for disaster preparedness and recovery with electricity continuity and systems. Technical report, IEC WP Microgrids, Switzerland (2014)

    Google Scholar 

  10. IRENE: D2.2 - Root causes identification and societal impact analysis. Technical report (2016)

    Google Scholar 

  11. IRENE: D3.1 - System architecture design, supply demand model and simulation. Technical report (2016)

    Google Scholar 

  12. Jung, O., et al.: Towards a collaborative framework to improve urban grid resilience. In: Proceedings of 2016 IEEE International Energy Conference (ENERGYCON), 4–8 April, pp. 1–6. IEEE (2016). https://doi.org/10.1109/ENERGYCON.2016.7513887

  13. Lau, E.T., Chai, K.K., Chen, Y., Vasenev, A.: Towards improving resilience of smart urban electricity networks by interactively assessing potential microgrids. In: Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SmartGreens 2017), Porto, Portugal, 22–24 April 2017, pp. 1–8 (2017). https://doi.org/10.5220/0006377803520359

  14. Le, A., Chen, Y., Chai, K.K., Vasenev, A., Montoya, L.: Assessing loss event frequencies of smart grid cyber threats: encoding flexibility into FAIR using bayesian network approach. In: Hu, J., Leung, V.C.M., Yang, K., Zhang, Y., Gao, J., Yang, S. (eds.) Smart Grid Inspired Future Technologies. LNICST, vol. 175, pp. 43–51. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-47729-9_5

    Chapter  Google Scholar 

  15. lp\_solve: Introduction to lp\_solve 5.5.2.5 (2015). http://lpsolve.sourceforge.net/5.5/. Accessed 19 Oct 2016

  16. Siemens PTI: Power technologies international (2016). http://w3.siemens.com/smartgrid/global/en/products-systems-solutions/software-solutions/planning-data-management-software/PTI/Pages/Power-Technologies-International-(PTI).aspx. Accessed 19 Jan 2017

  17. Stauffer, N.: The microgrid - a small-scale flexible, reliable source of energy (2012). http://energy.mit.edu/news/the-microgrid/. Accessed 19 Jan 2017

  18. Vasenev, A., Montoya Morales, A.L.: Analysing non-malicious threats to urban smart grids by interrelating threats and threat taxonomies. In: Proceedings of 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12–15 September 2016, pp. 1–4. IEEE (2016)

    Google Scholar 

  19. Vasenev, A., Montoya Morales, A.L., Ceccarelli, A.: A Hazus-based method for assessing robustness of electricity supply to critical smart grid consumers during flood events. In: Proceedings of the 11th International Conference on Availability, Reliability and Security, ARES 2016, Salzburg, Austria, 31 August–02 September 2016, pp. 223–228. IEEE (2016)

    Google Scholar 

  20. Vasenev, A., Montoya, L., Ceccarelli, A., Le, A., Ionita, D.: Threat navigator: grouping and ranking malicious external threats to current and future urban smart grids. In: Hu, J., Leung, V.C.M., Yang, K., Zhang, Y., Gao, J., Yang, S. (eds.) Smart Grid Inspired Future Technologies. LNICST, vol. 175, pp. 184–192. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-47729-9_19

    Chapter  Google Scholar 

  21. Zubelzu, S., Alvarez, R., Hernandez, A.: Methodology to calculate the carbon footprint of household land use in the urban planning stage. Land Use Policy 48, 223–235 (2015)

    Article  Google Scholar 

Download references

Acknowledgement

This work was partially supported by the Joint Program Initiative (JPI) Urban Europe via the project IRENE (Improving the Robustness of Urban Electricity Network). Grant Reference: ES/M008509/1. Further information about project IRENE is available in the weblink: http://ireneproject.eu.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eng Tseng Lau .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lau, E.T., Chai, K.K., Chen, Y., Vasenev, A. (2019). A Strategic Urban Grid Planning Tool to Improve the Resilience of Smart Grid Networks. In: Donnellan, B., Klein, C., Helfert, M., Gusikhin, O., Pascoal, A. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2017 2017. Communications in Computer and Information Science, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-02907-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02907-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02906-7

  • Online ISBN: 978-3-030-02907-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics