GridTool: An open-source tool to convert electricity grid data

被引:4
作者
Gaugl R. [1 ]
Wogrin S. [1 ]
Bachhiesl U. [1 ]
Frauenlob L. [1 ]
机构
[1] Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz
关键词
Open-source; Power grids; Transmission grid;
D O I
10.1016/j.softx.2023.101314
中图分类号
学科分类号
摘要
This paper introduces the open-source GridTool software. It is an easy-to-use tool to convert and simplify electricity grid data from the OpenStreetMap-project (OSM) for the use in power simulation models. The main advantages of the newly developed tool are its flexibility, customizability and its heuristic approach for identifying grid nodes. Instead of the lengthy and manual process of converting and implementing electricity grid data by hand, the GridTool shortens that task to seconds. During this process the OSM data gets reduced to essential elements needed in power simulation models. To our knowledge, there is no other open-source tool, that does this task out-of-the-box, is as easy-to-use, only requires a single program (MATLAB), and uses a heuristic approach. © 2023 The Author(s)
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共 17 条
[1]  
Wogrin S., Tejada-Arango D.A., Gaugl R., Klatzer T., Bachhiesl U., LEGO: The open-source low-carbon expansion generation optimization model, SoftwareX, 19, (2022)
[2]  
Veysey J., Heaps C., Kemp-Benedict E., Binnington T.
[3]  
Stigler H., Bachhiesl U., Nischler G., Feichtinger G., ATLANTIS: techno-economic model of the European electricity sector, CEJOR Cent Eur J Oper Res, 24, 4, pp. 965-988, (2016)
[4]  
Ramos A.
[5]  
Medjroubi W., Muller U.P., Scharf M., Matke C., Kleinhans D., Open data in power grid modelling: New approaches towards transparent grid models, Energy Rep, 3, pp. 14-21, (2017)
[6]  
Wiegmans B., Gridkit, (2016)
[7]  
Abhilash B., Linssen J., Syranidou C., Stolten D., Geo-referenced synthetic low-voltage distribution networks: A data-driven approach Bandam Abhilash IEK-3: Techno-economic systems analysis, 2021 IEEE PES innovative smart grid technologies Europe, (2021)
[8]  
Mateo C., Postigo F., de Cuadra F., Gomez San Roman T., Member S., Elgindy T., Et al., Building large-scale U.S. synthetic electric distribution system models, IEEE Trans Smart Grid, 11, 6, (2020)
[9]  
Cakmak H.K., Maass H., Bach F., Kuhnapfel U., Hagenmeyer V., An attempt for fully automated generation of large-scale and complex simulation models for electrical transmission networks derived from Open Street Map data, At-Automatisierungstechnik, 63, 11, pp. 911-925, (2015)
[10]  
Feichtinger G., Nischler G., Bachhiesl U., Stigler H., Neue Instrumente zur visuellen Unterstützung der Netzentwicklungsplanung mittels ATLANTIS, Internationale Energiewirtschaftstagung an Der TU Wien, pp. 1-10, (2015)