Pandapower-An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems

Pandapower is a Python-based BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches, and short-circuit calculations according...

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Veröffentlicht in:IEEE transactions on power systems Jg. 33; H. 6; S. 6510 - 6521
Hauptverfasser: Thurner, Leon, Scheidler, Alexander, Schafer, Florian, Menke, Jan-Hendrik, Dollichon, Julian, Meier, Friederike, Meinecke, Steffen, Braun, Martin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
automated network analysis
Automation
Data structures
Electric power systems
Equivalent circuits
graph search
IEC60909
Industry standards
Load flow
Mathematical model
Mathematical models
Newton optimal power flow
Newton-Raphson method
open source
Open source software
optimal power flow
Optimization
Parameters
power flow
power system analysis
Power system analysis computing
Power systems
Python
short circuit
Short circuits
Software development tools
State estimation
Switches
Switching theory
Systems analysis
ISSN:0885-8950, 1558-0679
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Pandapower is a Python-based BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches, and short-circuit calculations according to IEC 60909. pandapower includes a Newton-Raphson power flow solver formerly based on pypower , which has been accelerated with just-in-time compilation. Additional enhancements to the solver include the capability to model constant current loads, grids with multiple reference nodes, and a connectivity check. The pandapower network model is based on electric elements, such as lines, two- and three-winding transformers, or ideal switches. All elements can be defined with nameplate parameters and are internally processed with equivalent circuit models, which have been validated against industry standard software tools. The tabular data structure used to define networks is based on the Python library pandas, which allows comfortable handling of input and output parameters. The implementation in Python makes pandapower easy to use and allows comfortable extension with third-party libraries. pandapower has been successfully applied in several grid studies as well as for educational purposes. A comprehensive publicly available case study demonstrates a possible application of pandapower in an automated time-series calculation.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2829021