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| |Number of users=5 | | |Number of users=5 |
| |open_source_licensed=Yes | | |open_source_licensed=Yes |
− | |license=European Union Public License Version 1.1 (EUPL-1.1) | + | |license=European Union Public Licence Version 1.1 (EUPL-1.1) |
| |model_source_public=Yes | | |model_source_public=Yes |
| |Link to source=https://github.com/squoilin/Dispa-SET/archive/master.zip | | |Link to source=https://github.com/squoilin/Dispa-SET/archive/master.zip |
Revision as of 14:22, 2 March 2017
Dispa-SET
by European Commission, Joint Research Centre
Authors: Sylvain Quoilin
Contact: Sylvain Quoilin
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The Dispa-SET model is an open-source unit commitment and dispatch model developed within the “Joint Research Centre” and focused on the balancing and flexibility problems in European grids.
Based on Python (Pyomo), GAMS. Using Python for data processing.
Website / Documentation
Download
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Open Source European Union Public Licence Version 1.1 (EUPL-1.1)
Directly downloadable
Input data shipped
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Model Scope |
Model type and solution approach |
Model class
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EU power system
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Sectors
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Power system
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Technologies
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Renewables, Conventional Generation, CHP
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Decisions
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dispatch
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Regions
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Currently, 7 EU countries
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Geographic Resolution
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NUTS1
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Time resolution
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Hour
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Network coverage
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net transfer capacities
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Model type
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Optimization
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From the same dataset, the model can be expressed as a MILP or LP problem
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Variables
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Computation time
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30 minutes
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Objective
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Minimization of operational costs
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Uncertainty modeling
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Through proper sizing of reserve needs
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Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Quoilin, S., Hidalgo Gonzalez, I., & Zucker, A. (2017). Modelling Future EU Power Systems Under High Shares of Renewables: The Dispa-SET 2.1 open-source model. Publications Office of the European Union.
https://dx.doi.org/10.2760/25400
Reports produced using the model
Existing or ongoing case studies for Bolivia, Greece, Ireland, Netherlands, Belgium
Example research questions
Influence of self-consumption and distributed generation; Influence of electric vehicles; Influence of high shares of renewables; Flexibility provided by DSM and power-to-heat; ...
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