Model description

Contents:

• Background
• Model categorization
• Mathematical formulation

Feel free to directly jump to the section of interest.

The dispatch variant of the power market model POMMES pommesdispatch enables the user to simulate the dispatch of backup power plants, storages as well as demand response units for the Federal Republic of Germany for an arbitrary year or timeframe between 2017 and 2030. The dispatch of renewable power plants is exogenously determined by normalized infeed time series which are multiplied with capacity values (maximum capacities for foreign countries, installed ones for Germany). The models’ overall goal is to minimize power system costs occurring from wholesale markets, whereby no network constraints are considered except for the existing bidding zone configuration used for modeling electricity exchange. Thus, the model purpose is to simulate dispatch decisions and the resulting day-ahed market prices.

You can find the following information on the subpages:

• Background: economical, mathematical and technical background information

  • Energy-economic background: Some basics of power wholesale markets design and how our model fits in there

  • Model granularity: Information on the default resolution in terms of technologies, time and space

  • Mathematical background: A brief mathematical characterisation of our linear programming model

  • Technical background: Information on the main python packages used, such as oemof.solph

• Model categorization: An in-depth characterization of our model, following the proposed scheme from Hall and Buckley (2016).

• Mathematical formulation: A complete mathematical description including all (in)equations of the model.