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| |data_availability=some | | |data_availability=some |
| |open_future=No | | |open_future=No |
| + | |modelling_software=Python |
| + | |processing_software=Pandas |
| |GUI=No | | |GUI=No |
| + | |model_class=Transmission Network Model |
| |technologies=Renewables, Conventional Generation | | |technologies=Renewables, Conventional Generation |
| |Transfer (Electricity)=Distribution, Transmission | | |Transfer (Electricity)=Distribution, Transmission |
Latest revision as of 12:10, 17 April 2024
Pandapower
by
Authors: Energy Management and Power System Operation (University of Kassel), Fraunhofer IEE
Contact: Leon Thurner, Alexander Scheidler
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pandapower builds on the data analysis library pandas and the power system analysis toolbox PYPOWER to create an easy to use network calculation program aimed at automation of analysis and optimization in power systems. What started as a convenience wrapper around PYPOWER has evolved into a stand-alone power systems analysis toolbox with extensive power system model library, an improved power flow solver and many other power systems analysis functions.
Based on Python. Using Pandas for data processing.
Website / Documentation
Download
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Open Source BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
Directly downloadable
Some input data shipped
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Model Scope |
Model type and solution approach |
Model class
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Transmission Network Model
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Sectors
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Technologies
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Renewables, Conventional Generation
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Decisions
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Regions
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Geographic Resolution
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Time resolution
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Network coverage
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transmission, distribution
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Model type
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Simulation
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Variables
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Computation time
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minutes
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Objective
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Uncertainty modeling
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Suited for many scenarios / monte-carlo
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No
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References
Scientific references
L. Thurner, A. Scheidler, F. Schäfer et al, pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems, in IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6510-6521, Nov. 2018
https://dx.doi.org/10.1109/TPWRS.2018.2829021
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