The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

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Authors Ulf Philipp Mueller, Lukas Wienholt, David Kleinhans, Ilka Cussmann, Wolf-Dieter Bunke, Guido PleƟmann, Jochen Wendiggensen
Journal/Conference Name Journal of Physics: Conference Series
Paper Category
Paper Abstract There are several power grid modelling approaches suitable for simulations in the field of power grid planning. The restrictive policies of grid operators, regulators and research institutes concerning their original data and models lead to an increased interest in open source approaches of grid models based on open data. By including all voltage levels between 60 kV (high voltage) and 380kV (extra high voltage), we dissolve the common distinction between transmission and distribution grid in energy system models and utilize a single, integrated model instead. An open data set for primarily Germany, which can be used for non-linear, linear and linear-optimal power flow methods, was developed. This data set consists of an electrically parameterised grid topology as well as allocated generation and demand characteristics for present and future scenarios at high spatial and temporal resolution. The usability of the grid model was demonstrated by the performance of exemplary power flow optimizations. Based on a marginal cost driven power plant dispatch, being subject to grid restrictions, congested power lines were identified. Continuous validation of the model is nescessary in order to reliably model storage and grid expansion in progressing research.
Date of publication 2018
Code Programming Language Python
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