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MicroGridsPy
by Université de Liège, Politecnico di Milano
Authors:
Sergio Balderrama, Sylvain Quoilin, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Emanuela Colombo, Riccardo Mereu, Nicolò Stevanato, Ivan Sangiorgio, Gianluca Pellecchia
Contact:
gianluca.pellecchia@polimi.it
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The MicroGridsPy model main objective is to provide an open-source alternative to the problem of sizing and dispatch of energy in micro-grids in isolated places. It’s written in python(pyomo) and use excel and text files as input and output data handling and visualisation.
Based on Python (Pyomo). Using Excel 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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Energy Modeling Framework, energy system optimization model
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| Sectors
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Electric power, micro-grids design
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| Technologies
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Renewables, Conventional Generation
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| Decisions
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dispatch, investment
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| Regions
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| Geographic Resolution
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Village-scale
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| Time resolution
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Hour
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| Network coverage
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| Model type
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Optimization
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String representation "The model is ba … t minimization." is too long.
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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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Single objective optimization: NPC or operation costs
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| Uncertainty modeling
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Two-stage stochastic optimization
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188,
https://dx.doi.org/https://doi.org/10.1016/j.energy.2019.116073
Reports produced using the model
-Sergio Balderrama, Francesco Lombardi, Fabio Riva, Walter Canedo, Emanuela Colombo, Sylvain Quoilin, A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community, Energy (2019), 188, https://doi.org/10.1016/j.energy.2019.116073
-Nicolò Stevanato, Francesco Lombardi, Emanuela Colombo, Sergio Balderrama, Sylvain Quoilin, Two-Stage Stochastic Sizing of a Rural Micro-Grid Based on Stochastic Load Generation, 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. https://doi.org/10.1109/PTC.2019.8810571
-Nicolò Stevanato, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Sergio Balderrama, Matija Pavičević, Sylvain Quoilin, Emanuela Colombo, Long-term sizing of rural microgrids: Accounting for load evolution through multi-step investment plan and stochastic optimization, Energy for Sustainable Development (2020), 58, pp. 16-29, https://doi.org/10.1016/j.esd.2020.07.002
-Nicolò Stevanato, Lorenzo Rinaldi, Stefano Pistolese, Sergio Balderrama, Sylvain Quoilin, Emanuela Colombo, Modeling of a Village-Scale Multi-Energy System for the Integrated Supply of Electric and Thermal Energy, Applied Sciences (2020), https://doi.org/10.3390/app10217445
Example research questions
-Long-term sizing of rural microgrids
-Load evolution
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