Energy Resilience Modeling for Smart Houses

Hamed Ghasemieh, Boudewijn R.H.M. Haverkort, M.R. Jongerden, Anne Katharina Ingrid Remke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    13 Citations (Scopus)
    33 Downloads (Pure)

    Abstract

    The use of renewable energy in houses and neighbourhoods is very much governed by national legislation and has recently led to enormous changes in the energy market and poses a serious threat to the stability of the grid at peak production times. One of the approaches towards a more balanced grid is, e.g., taken by the German government by subsidizing local storage for solar power. While the main interest of the energy operator and the government is to balance the grid, thereby ensuring its stability, the main interest of the client is twofold: the total cost for electricity should be as low as possible and the house should be as resilient as possible in the presence of power outages. Using local battery storage can help to overcome the effects of power outages. However, the resulting resilience highly depends on the battery usage strategy employed by the controller, taking into account the state of charge of the battery. We present a Hybrid Petri net model of a house (that is mainly powered by solar energy) with a local storage unit, and analyse the impact of different battery usage strategies on its resilience for different production and consumption patterns. Our analysis shows that there is a direct relationship between resilience and flexibility, since increased resilience, i.e., reserving battery capacity for backup, decreases the flexibility of the storage unit.
    Original languageUndefined
    Title of host publicationProceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages275-286
    Number of pages12
    ISBN (Print)978-1-4799-8629-3
    DOIs
    Publication statusPublished - Jun 2015

    Publication series

    Name
    PublisherIEEE Computer Society

    Keywords

    • Resilience
    • EWI-26172
    • METIS-314925
    • Smart Grid
    • IR-98146
    • Hybrid Petri nets

    Cite this

    Ghasemieh, H., Haverkort, B. R. H. M., Jongerden, M. R., & Remke, A. K. I. (2015). Energy Resilience Modeling for Smart Houses. In Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015 (pp. 275-286). USA: IEEE Computer Society. https://doi.org/10.1109/DSN.2015.31
    Ghasemieh, Hamed ; Haverkort, Boudewijn R.H.M. ; Jongerden, M.R. ; Remke, Anne Katharina Ingrid. / Energy Resilience Modeling for Smart Houses. Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015. USA : IEEE Computer Society, 2015. pp. 275-286
    @inproceedings{90e66168b62247c88bd22b66c33a4bb3,
    title = "Energy Resilience Modeling for Smart Houses",
    abstract = "The use of renewable energy in houses and neighbourhoods is very much governed by national legislation and has recently led to enormous changes in the energy market and poses a serious threat to the stability of the grid at peak production times. One of the approaches towards a more balanced grid is, e.g., taken by the German government by subsidizing local storage for solar power. While the main interest of the energy operator and the government is to balance the grid, thereby ensuring its stability, the main interest of the client is twofold: the total cost for electricity should be as low as possible and the house should be as resilient as possible in the presence of power outages. Using local battery storage can help to overcome the effects of power outages. However, the resulting resilience highly depends on the battery usage strategy employed by the controller, taking into account the state of charge of the battery. We present a Hybrid Petri net model of a house (that is mainly powered by solar energy) with a local storage unit, and analyse the impact of different battery usage strategies on its resilience for different production and consumption patterns. Our analysis shows that there is a direct relationship between resilience and flexibility, since increased resilience, i.e., reserving battery capacity for backup, decreases the flexibility of the storage unit.",
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    author = "Hamed Ghasemieh and Haverkort, {Boudewijn R.H.M.} and M.R. Jongerden and Remke, {Anne Katharina Ingrid}",
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    Ghasemieh, H, Haverkort, BRHM, Jongerden, MR & Remke, AKI 2015, Energy Resilience Modeling for Smart Houses. in Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015. IEEE Computer Society, USA, pp. 275-286. https://doi.org/10.1109/DSN.2015.31

    Energy Resilience Modeling for Smart Houses. / Ghasemieh, Hamed; Haverkort, Boudewijn R.H.M.; Jongerden, M.R.; Remke, Anne Katharina Ingrid.

    Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015. USA : IEEE Computer Society, 2015. p. 275-286.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    AB - The use of renewable energy in houses and neighbourhoods is very much governed by national legislation and has recently led to enormous changes in the energy market and poses a serious threat to the stability of the grid at peak production times. One of the approaches towards a more balanced grid is, e.g., taken by the German government by subsidizing local storage for solar power. While the main interest of the energy operator and the government is to balance the grid, thereby ensuring its stability, the main interest of the client is twofold: the total cost for electricity should be as low as possible and the house should be as resilient as possible in the presence of power outages. Using local battery storage can help to overcome the effects of power outages. However, the resulting resilience highly depends on the battery usage strategy employed by the controller, taking into account the state of charge of the battery. We present a Hybrid Petri net model of a house (that is mainly powered by solar energy) with a local storage unit, and analyse the impact of different battery usage strategies on its resilience for different production and consumption patterns. Our analysis shows that there is a direct relationship between resilience and flexibility, since increased resilience, i.e., reserving battery capacity for backup, decreases the flexibility of the storage unit.

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    Ghasemieh H, Haverkort BRHM, Jongerden MR, Remke AKI. Energy Resilience Modeling for Smart Houses. In Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015. USA: IEEE Computer Society. 2015. p. 275-286 https://doi.org/10.1109/DSN.2015.31