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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Neetzow, Paul; Mendelevitch, Roman;

    Model description: We present the first approach to incorporate network stress on the distribution grid level into a large-scale electricity DC-load flow model. Our setup consists of a multi-nodal TSO network, which connects demand centers and large-scale generation (conventional and renewable). The representative prosumage consists of prosumage demand, small-scale PV, and storage and is connected to the TSO network via dedicated DSO links. The links can be interpreted as the dedicated cumulative DSO capacity necessary to allow prosumage integration into the system. Regional DSOs ensure sufficient DSO link capacity to accommodate all prosumage inflows and outflows. They may incentivize prosumage to reduce its DSO link use via a compensation. Model characteristics: The model constitutes a two-level MPEC solved by linearizing all equations using discretization and disjunctive constraint formulations. It is implemented in GAMS and uses the commercial solvers CONOPT and CPLEX. Computation time is about 30 h for the scenario simulations of one year (System: quad-core CPU 2.8 GHz, 16 GB RAM). Data: We calibrate the model with state-wise (Bundesland) aggregated data on the German electricity system for the year 2015. A detailed description of the model is provided in the "Model calibration" section of the paper (https://doi.org/10.1016/j.enpol.2019.06.024). Das Modell untersucht für verschiedene Politikszenarien den Verteilnetzeinfluss von Prosumage in Deutschland. Ausführliche Erklärung auf englisch verfügbar.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ edoc-Server. Open-Ac...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Neetzow, Paul; Mendelevitch, Roman;

    Model description: We present the first approach to incorporate network stress on the distribution grid level into a large-scale electricity DC-load flow model. Our setup consists of a multi-nodal TSO network, which connects demand centers and large-scale generation (conventional and renewable). The representative prosumage consists of prosumage demand, small-scale PV, and storage and is connected to the TSO network via dedicated DSO links. The links can be interpreted as the dedicated cumulative DSO capacity necessary to allow prosumage integration into the system. Regional DSOs ensure sufficient DSO link capacity to accommodate all prosumage inflows and outflows. They may incentivize prosumage to reduce its DSO link use via a compensation. Model characteristics: The model constitutes a two-level MPEC solved by linearizing all equations using discretization and disjunctive constraint formulations. It is implemented in GAMS and uses the commercial solvers CONOPT and CPLEX. Computation time is about 30 h for the scenario simulations of one year (System: quad-core CPU 2.8 GHz, 16 GB RAM). Data: We calibrate the model with state-wise (Bundesland) aggregated data on the German electricity system for the year 2015. A detailed description of the model is provided in the "Model calibration" section of the paper (https://doi.org/10.1016/j.enpol.2019.06.024). Das Modell untersucht für verschiedene Politikszenarien den Verteilnetzeinfluss von Prosumage in Deutschland. Ausführliche Erklärung auf englisch verfügbar.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ edoc-Server. Open-Ac...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    0
    citations0
    popularityAverage
    influenceAverage
    impulseAverage
    BIP!Powered by BIP!
    visibility212
    visibilityviews212
    downloaddownloads6
    Powered by Usage counts
    more_vert
Powered by OpenAIRE graph