A Formal Holon Model for Operating Future Energy Grids during Blackouts

Siavash Valipour, Florian Volk, Tim Grube, Leon Böck, Ludwig Karg, Max Mühlhäuser

2016

Abstract

Modern energy grids introduce local energy producers into city networks. Whenever a city network is disconnected from the distribution grid, a blackout occurs and local producers are disabled. Micro grids circumvent blackouts by leveraging these local producers to power a fixed subset of consumers. In this paper, we evolve micro grids to Holons, which overcome the need for fixed subsets and power as much of the city network as possible. We contribute a formal model of Holons and investigate the impact of the Holon concept in a simulation with 10,000 randomly generated city networks. These city networks are based on parameters obtained from a real-world test site in a medium-sized German city. Our results show that the Holon approach can supply an average fraction of 22.08% of any city network, even when fixed micro grids would fail to power the city network as a whole.

References

  1. Amin, S. and Wollenberg, B. (2005). Toward a smart grid: power delivery for the 21st century. IEEE Power and Energy Magazine, 3(5):34-41.
  2. BDEW (2014). Smart Grids Traffic Light Concept. Functional Interaction between the Market and the Regulated Sphere (Interim Report). Technical report, BDEW.
  3. BDEW (2015). Smart Grids Traffic Light Concept. Design of the amber phase (Discussion paper). Technical report, BDEW.
  4. Bessler, S., Drenjanac, D., Hasenleithner, E., Ahmed-Khan, S., and Silva, N. (2015). Using flexibility information for energy demand optimization in the low voltage grid. In 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pages 1-9.
  5. Dinic, E. A. (1970). Algorithm for Solution of a Problem of Maximum Flow in a Network with Power Estimation. Soviet Math Doklady, 11:1277-1280.
  6. Fang, X., Misra, S., Xue, G., and Yang, D. (2012). Smart grid - the new and improved power grid: A survey. IEEE Communications Surveys Tutorials, 14(4):944- 980.
  7. Farhangi, H. (2014). A road map to integration: Perspectives on smart grid development. IEEE Power and Energy Magazine, 12(3):52-66.
  8. Ford, L. R. and Fulkerson, D. R. (1956). Maximal Flow through a Network. Canadian Journal of Mathematics, 8:399-404.
  9. Guérard, G., Ben Amor, S., and Bui, A. (2015). A contextfree smart grid model using pretopologic structure. In 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pages 1-7.
  10. Hashmi, M., Hanninen, S., and Maki, K. (2011). Survey of smart grid concepts, architectures, and technological demonstrations worldwide. In 2011 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America), pages 1-7.
  11. Kausika, B., Dolla, O., Folkerts, W., Siebenga, B., Hermans, P., and van Sark, W. (2015). Bottom-up analysis of the solar photovoltaic potential for a city in the netherlands: A working model for calculating the potential using high resolution lidar data. In 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pages 1-7.
  12. Koestler, A. (1967). The ghost in the machine. Hutchinson London.
  13. Kroposki, B., Lasseter, R., Ise, T., Morozumi, S., Papatlianassiou, S., and Hatziargyriou, N. (2008). Making microgrids work. IEEE Power and Energy Magazine, 6(3):40-53.
  14. MVV Energie AG (2012). Model City Mannheim. http://www.modellstadt-mannheim.de/.
  15. Ramesh, M. V., Mohan, N., and Devidas, A. R. (2015). Micro grid architecture for line fault detection and isolation. In 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pages 1-6.
  16. Saad, W., Han, Z., and Poor, H. (2011). Coalitional game theory for cooperative micro-grid distribution networks. In 2011 IEEE International Conference on Communications Workshops (ICC), pages 1-5.
  17. Schiffer, J. (2015). Stability and power sharing in microgrids. PhD thesis, Technische Universität Berlin.
  18. Schiller, C. A. and Fassmann, S. (2010). The Smart Micro Grid: IT challenges for energy distribution grid operators. Technical report, IBM.
  19. Schroeder, J., Guedes, A., and Duarte Jr, E. P. (2004). Computing the minimum cut and maximum flow of undirected graphs. Technical report, Federal University of Paraná.
  20. Shafiee, Q., Guerrero, J., and Vasquez, J. (2014). Distributed secondary control for islanded microgrids - a novel approach. IEEE Transactions on Power Electronics, 29(2):1018-1031.
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Paper Citation


in Harvard Style

Valipour S., Volk F., Grube T., Böck L., Karg L. and Mühlhäuser M. (2016). A Formal Holon Model for Operating Future Energy Grids during Blackouts . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-184-7, pages 146-153. DOI: 10.5220/0005768801460153


in Bibtex Style

@conference{smartgreens16,
author={Siavash Valipour and Florian Volk and Tim Grube and Leon Böck and Ludwig Karg and Max Mühlhäuser},
title={A Formal Holon Model for Operating Future Energy Grids during Blackouts},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2016},
pages={146-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005768801460153},
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 - A Formal Holon Model for Operating Future Energy Grids during Blackouts
SN - 978-989-758-184-7
AU - Valipour S.
AU - Volk F.
AU - Grube T.
AU - Böck L.
AU - Karg L.
AU - Mühlhäuser M.
PY - 2016
SP - 146
EP - 153
DO - 10.5220/0005768801460153