Advertisement

A Generic Ontology-Based Information Model for Better Management of Microgrids

  • Khouloud Salameh
  • Richard Chbeir
  • Haritza Camblong
  • Gilbert Tekli
  • Ionel Vechiu
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 458)

Abstract

In this “renewable era”, researchers’ eyes are diverted to the Microgrids (emerging power systems consisting of a number of heterogeneous components including renewable and non-renewable energy sources, storage systems and energy loads) to exploit their functionalities in order to improve today’s power systems. This work addresses two significant issues encountered in the Microgrid (MG) management systems: 1) the semantic interoperability, highlighting the need to ensure a seamless communication between several heterogeneous components, and 2) the multi-objective aspect of the MG, emphasizing the need to model all the aspects involved in the achievement of the MG objectives. Here, we propose OntoMG, a full-fledged Microgrid ontology, to resolve these two issues by providing an interoperable information model with existing standards and by modeling all the aspects/functionalities involved in the achievement of the MG objectives, namely: Identification, Operational, Mobility, Economical and Ecological. This research is undertaken in collaboration with Jema Irizar Group, leader of the ISare Microgrid Project, a real-size MG built in the Basque Country.

Keywords

Microgrids Interoperability Multi-objective aspect Ontologybased information system 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fauzey, I.H.M., et al.: Emergent Occupational Safety & Health and Environmental Issues of Demolition Work: Towards Public Environment. Procedia - Social and Behavioral Sciences 168, 41–51 (2015)CrossRefGoogle Scholar
  2. 2.
    Wu, M., et al.: Research on the architecture of Internet of things. In: 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), pp. 484–487. IEEE (2010)Google Scholar
  3. 3.
    Bouzid, A.M., et al.: A survey on control of electric power distributed generation systems for microgrid applications. Renewable and Sustainable Energy Reviews 44, 751–766 (2015)CrossRefGoogle Scholar
  4. 4.
    Barnes, M., et al.: Real-world microgrids-an overview. In: IEEE International Conference on System of Systems Engineering, SoSE 2007, pp. 1–8. IEEE (2007)Google Scholar
  5. 5.
    Ho, Q.-D., Le-Ngoc, T.: Chapter 5 - Smart Grid Communications Networks: Wireless Technologies, Protocols, Issues, and Standards1. In: Obaidat, M.S., Anpalagan, A., Woungang, I. (eds.) Handbook of Green Information and Communication Systems, pp. 115–146. Academic Press (2013)Google Scholar
  6. 6.
    Dao-gang, P., et al.: Design and Realization of Modbus Protocol Based on Embedded Linux System. In: International Conference on Embedded Software and Systems Symposia, ICESS Symposia 2008, pp. 275–280 (2008)Google Scholar
  7. 7.
    Gi Myung, K., et al.: Design of a BACnet-ZigBee gateway for Smart Grid in buildings. In: IEEE Conference Anthology, pp. 1–5 (2013)Google Scholar
  8. 8.
    Bani-Ahmed, A., et al.: Microgrid communications: State of the art and future trends. In: 2014 International Conference on Renewable Energy Research and Application (ICRERA), pp. 780–785. IEEE (2014)Google Scholar
  9. 9.
    Chassin, D.P., Kiesling, L.: Decentralized coordination through digital technology, dynamic pricing, and customer-driven control: The gridwise testbed demonstration project. The Electricity Journal 21(8), 51–59 (2008)CrossRefGoogle Scholar
  10. 10.
    Marko Bati, N.T., Paunovi, D., Vraneš, S.: A Novel Approach To Microgrid Data ModellingGoogle Scholar
  11. 11.
    Syed Gillani, F.L., Picard, G.: A Generic Ontology for Prosumer-Oriented Smart Grid. In: Workshop Proceedings of the EDBT/ICDT 2014, pp. 134–139 (2014)Google Scholar
  12. 12.
    Buchmann, A., Koldehofe, B.: Complex event processing. IT-Information Technology Methoden und innovative Anwendungen der Informatik und Informationstechnik 51(5), 241–242 (2009)Google Scholar
  13. 13.
    McMorran, A.W.: An introduction to iec 61970-301 & 61968-11: The common information model. University of Strathclyde 93, 124 (2007)Google Scholar
  14. 14.
    Catterson, V., et al.: An upper ontology for power engineering applications (2011). http://ewh.ieee.org/mu/pes-mas
  15. 15.
    Verhoosel, J., Rumph, F.-J., Konsman, M.: Modeling of Flexibility in Electricity Demand and Supply for Renewables Integration. In: Workshop on eeBuildings Data Models, Sophia Antipolis, France, October 27 2011Google Scholar
  16. 16.
    Cox, W., Holmberg, D., Sturek, D.: Oasis collaborative energy standards, facilities, and zigbee smart energy. In: Grid-Interop Forum, pp. 1–8 (2011)Google Scholar
  17. 17.
    Cox, W.T., Considine, T., Principal, T.: Architecturally significant interfaces for the smart grid. Grid-Interop-The road to an interoperable grid, Denver, Colorado, USA, pp. 17–19 (2009)Google Scholar
  18. 18.
    Pagani, G.A., Aiello, M.: Service Orientation and the Smart Grid state and trends. Service Oriented Computing and Applications 6(3), 267–282 (2012)CrossRefGoogle Scholar
  19. 19.
    NIST Smart Grid Priority Action Plan 10: Standard Energy Usage Information. http://www.nist.gov/smartgrid/priority-actions.cfm
  20. 20.
    Rui, D., Deconinck, G.: Multi-agent model and interoperability of a market mechanism of the Smart Grids. In: 2010 IEEE/IFIP Network Operations and Management Symposium Workshops (NOMS Wksps), pp. 312–315 (2010)Google Scholar
  21. 21.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-computer Studies 43(5), 907–928 (1995)CrossRefGoogle Scholar
  22. 22.
    Kanoria, Y., et al.: Distributed storage for intermittent energy sources: Control design and performance limits. In: 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1310–1317 (2011)Google Scholar
  23. 23.
    Ming, D., Zhengkai, Z., Xuefeng, G.: CIM Extension of Microgrid Energy Management System. In: Power and Energy Engineering Conference, APPEEC 2009. Asia-Pacific. 2009, pp. 1–6 (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Khouloud Salameh
    • 1
  • Richard Chbeir
    • 1
  • Haritza Camblong
    • 2
  • Gilbert Tekli
    • 1
  • Ionel Vechiu
    • 3
  1. 1.LIUPPA LaboratoryUniversity of Pau and Adour Countries (UPPA)AngletFrance
  2. 2.Departement of Systems Engineering and ControlUniversity of Basque Country (UPV-EHU)DonostiaSpain
  3. 3.ESTIA ResearchTechnopôle IzarbelBidartFrance

Personalised recommendations