Model Factsheet

Overview / AC Swing Equations with primary and secondary control (not given)

Model AC Swing Equations with primary and secondary control (not given)

General Information
Name AC Swing Equations with primary and secondary control
Acronym not given
Methodical Focus None
Institution(s) Jacobs University; Oldenburg University; DLR Oldenburg
Author(s) (institution, working field, active time period) Martin Rohden (2014-2016; now UC Davis); Samyak Tamrakar (2014-2017 Jacobs University and Oldenburg University); Michael Conrath (2016-2017; Jacobs University); Philipp Böttcher (since 2017 ; DLR Oldenburg)
Current contact person Stefan Kettemann
Contact (e-mail) s.kettemann@jacobs-university.de
Website -
Logo
Primary Purpose Develop Measures of Stability of transmission and distribution grids in presence of disturbances and power fluctuations.
Primary Outputs Power flow Transients. Stability measures.
Support / Community / Forum
Framework
Link to User Documentation -
Link to Developer/Code Documentation -
Documentation quality expandable
Source of funding BMBF
Number of developers less than 20
Number of users less than 1000
Openness
Open Source
Planned to open up in the future
Costs -
Software
Modelling software Python; Matlab
Internal data processing software
External optimizer
Additional software
GUI
Coverage
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modeled technologies: components for power generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity distribution, transmission
Gas -
Heat -
Properties electrical grid AC load flow
Modeled technologies: components for storage battery
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution TSO regions
Time resolution < seconds
Comment on geographic (spatial) resolution
Observation period >1 year
Additional dimensions (sector) -
Mathematical Properties
Model class (optimisation) None
Model class (simulation) System Dynamics
Other
Short description of mathematical model class
Mathematical objective -
Approach to uncertainty Stochastic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware -
Technical data anchored in the model -
Model Integration
Interfaces
Model file format .py
Input data file format .csv
Output data file format .xls
Integration with other models
Integration of other models
References
Citation reference 1. S. Kettemann, Delocalization of Disturbances and the Stability of AC Electricity Grids, Phys. Rev. E 94, 062311 (2016). 2. L. A. Torres-S ́anchez, G. T. Freitas de Abreu, S. Kettemann, subm. to IEEE Power Systems, arXiv:1706.10130 (2017). 3. S. R. Tamrakar, M. Conrath, S. Kettemann, subm. to Nature Communications, arXiv:1706.10144 (2017).
Citation DOI 2470-0045/2016/94(6)/062311(5)
Reference Studies/Models -
Example research questions Characterise the Propagation of Disturbances. Find new Control strategies in Dependence on the Inertia in and the topology of the grid.
Model usage -
Model validation -
Example research questions Characterise the Propagation of Disturbances. Find new Control strategies in Dependence on the Inertia in and the topology of the grid.
further properties
Model specific properties -

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