stELMOD (A Stochastic Multi-Market Model with Rolling Planning)

stELMOD is a stochastic optimization model for analyzing the impact of uncertain wind generation on the following day and intraday electricity markets as well as network congestion management.

stochastic optimizationwind generationelectricitymarkets
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contributed at 2019-10-18

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DIW Berlin
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Model Description

English {{currentDetailLanguage}} English

Quoted from: https://www.diw.de/en/diw_01.c.599753.en/models.html#ab_600558 

stELMOD is a stochastic optimization model for analyzing the impact of uncertain wind generation on the following day and intraday electricity markets as well as network congestion management. After clearing of the daily following day and the subsequent hourly intraday markets, the final power plant dispatch is determined by the transmission system operator considering network congestion arising from previous market commitments. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.

Below you find an overview of available open-source stELMOD versions. The ZIP file includes the GAMS code and data files with all necessary input parameters. The stELMOD code is licensed under the MIT License. To view a copy of the license, click here. Whenever you use this model, please refer to http://www.diw.de/elmod.

The model is implemented in the General Algebraic Modeling System (GAMS). Running the model thus requires a GAMS system, a MIP solver, and the respective licenses. We use the commercial solver CPLEX.

Model development of stELMOD takes place at GitHub

stELMOD Version 1.0.0

stELMOD_v1.0.0.zip (ZIP, 2.8 MB)

The model is used and documented in  Abrell, J. Kunz, F. (2013): Integrating Intermittent Renewable Wind Generation: A Stochastic Multi-Market Electricity Market. DIW Discussion Paper 1301 (PDF, 1.45 MB)

The model is applied to cross-border congestion management in  Kunz, F., Zerrahn, A. (2016): Coordinating Cross-Country Congestion Management. DIW Discussion Paper 1551 (PDF, 0.91 MB)

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How to Cite

Friedrich Kunz and Jan Abrell (2019). stELMOD (A Stochastic Multi-Market Model with Rolling Planning), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/7478914c-842d-4e11-90ee-9b5d864edcd2
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Initial contribute: 2019-10-18

Authorship

Affiliation:  
DIW Berlin
Homepage:  
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Is authorship not correct? Feedback

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