Powergama Europe 2014 Model

2014 Input data for PowerGAMA (https://bitbucket.org/harald_g_svendsen/powergama/) The input data is based on prior work, but has been substantially updated for 2014. To maintain all aspects of the model open-source, only publicly available data was implemented. The modeling approach and simplifications are explained in the paper "Validation study of an approximate 2014 European power-flow model using PowerGAMA", submitted to IET. About PowerGAMA PowerGAMA (Power Grid and Market Analysis), developed by SINTEF Energy Research. Is a lightweight simulation tool, implemented as an open source Python package for analysis of large interconnected power systems. PowerGAMA uses linear programming to optimize the generator dispatch for all generators in the system based on marginal cost for each time-step over a given period. The power system is represented by nodes, branches, loads and generators, where load and generators are assigned to nodes and branches connect the nodes. The grid model is usually a reduced and simplified version of the actual grid, and the actual generators and loads are aggregated and designated to the geographical nearest node. The market model assumes a perfect competition market, where power flow constraints and generator marginal costs determine the generator dispatch and nodal prices, minimizing the total system cost. The model takes into account grid constraints and variability in generation and demand using time-series input, and has the functionality to support energy storage and flexible loads.