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2019Software DOI: 10.18452/20118
TDP (Transmission Distribution Prosumage)
Neetzow, Paul
Mendelevitch, Roman
Lebenswissenschaftliche Fakultät
Das Modell untersucht für verschiedene Politikszenarien den Verteilnetzeinfluss von Prosumage in Deutschland. Ausführliche Erklärung auf englisch verfügbar.
 
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).
 
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Is Supplement To: https://doi.org/10.1016/j.enpol.2019.06.024
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(CC BY-SA 3.0 DE) Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland(CC BY-SA 3.0 DE) Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland(CC BY-SA 3.0 DE) Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland
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DOI
10.18452/20118
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https://doi.org/10.18452/20118
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<a href="https://doi.org/10.18452/20118">https://doi.org/10.18452/20118</a>