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Stochastic Multi-Market Electricity Model
by DIW Berlin
Authors:
Friedrich Kunz, Jan Abrell
Contact:
Friedrich Kunz
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stELMOD is a stochastic optimization model to analyze the impact of uncertain renewable generation on the dayahead and intraday electricity markets as well as network congestion management. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.
Based on GAMS. Using MS Excel for data processing.
Website / Documentation
Download
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 Open Source
MIT license (MIT)
Directly downloadable
 No data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Optimization
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| Sectors
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Electricity
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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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Europe (particular focus on Germany)
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| Geographic Resolution
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Nodal resolution
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| Time resolution
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Hour
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| Network coverage
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transmission, DC load flow, net transfer capacities
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| Model type
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Optimization
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Mixed integer linear optimization for separate electricity markets (dayahead, intraday, congestion management) linked by a rolling planning procedure
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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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Minimization of total generation cost
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| Uncertainty modeling
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deterministic, stochastic
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
Abrell, Jan and Kunz, Friedrich (2015): Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market, Networks and Spatial Economics 15(1), pp. 117-147
https://dx.doi.org/10.1007/s11067-014-9272-4
Reports produced using the model
Kunz, Friedrich, Zerrahn, Alexander (2016): Coordinating Cross-Country Congestion Management. DIW Discussion Paper 1551
Example research questions
Impact of uncertain renewable generation on markets and generation commitment and dispatch; Analysis of congestion management issues and market design options
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