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Does Your Domestic Photovoltaic Energy System Survive Grid Outages?

Author

Listed:
  • Marijn R. Jongerden

    (Design and Analysis of Communication Systems, University of Twente, 7500AE Enschede, The Netherlands)

  • Jannik Hüls

    (University of Münster, 48149 Münster, Germany)

  • Anne Remke

    (Design and Analysis of Communication Systems, University of Twente, 7500AE Enschede, The Netherlands
    University of Münster, 48149 Münster, Germany)

  • Boudewijn R. Haverkort

    (Design and Analysis of Communication Systems, University of Twente, 7500AE Enschede, The Netherlands)

Abstract

Domestic renewable energy systems, including photovoltaic energy generation, as well as local storage, are becoming increasingly popular and economically feasible, but do come with a wide range of options. Hence, it can be difficult to match their specification to specific customer’s needs. Next to the usage-specific demand profiles and location-specific production profiles, local energy storage through the use of batteries is becoming increasingly important, since it allows one to balance variations in production and demand, either locally or via the grid. Moreover, local storage can also help to ensure a continuous energy supply in the presence of grid outages, at least for a while. Hybrid Petri net (HPN) models allow one to analyze the effect of different battery management strategies on the continuity of such energy systems in the case of grid outages. The current paper focuses on one of these strategies, the so-called smart strategy, that reserves a certain percentage of the battery capacity to be only used in case of grid outages. Additionally, we introduce a new strategy that makes better use of the reserved backup capacity, by reducing the demand in the presence of a grid outage through a prioritization mechanism. This new strategy, called power-save, only allows the essential (high-priority) demand to draw from the battery during power outages. We show that this new strategy outperforms previously-proposed strategies through a careful analysis of a number of scenarios and for a selection of survivability measures, such as minimum survivability per day, number of survivable hours per day, minimum survivability per year and various survivability quantiles.

Suggested Citation

  • Marijn R. Jongerden & Jannik Hüls & Anne Remke & Boudewijn R. Haverkort, 2016. "Does Your Domestic Photovoltaic Energy System Survive Grid Outages?," Energies, MDPI, vol. 9(9), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:736-:d:77858
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    References listed on IDEAS

    as
    1. Wang, B.C. & Sechilariu, M. & Locment, F., 2013. "Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 119-133.
    2. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
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    Cited by:

    1. Majid Ali & Juan C. Vasquez & Josep M. Guerrero & Yajuan Guan & Saeed Golestan & Jorge De La Cruz & Mohsin Ali Koondhar & Baseem Khan, 2023. "A Comparison of Grid-Connected Local Hospital Loads with Typical Backup Systems and Renewable Energy System Based Ad Hoc Microgrids for Enhancing the Resilience of the System," Energies, MDPI, vol. 16(4), pages 1-20, February.
    2. Rosales-Asensio, Enrique & de Simón-Martín, Miguel & Borge-Diez, David & Blanes-Peiró, Jorge Juan & Colmenar-Santos, Antonio, 2019. "Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings," Energy, Elsevier, vol. 172(C), pages 1005-1015.

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