# Authors

MicroGridsPy is an open-source mini-grid sizing and dispatch model originally developed by
Sergio Balderrama and Sylvain Quoilin at the Université de Liège. It was subsequently extended 
through research projects and publications involving the SESAM group at Politecnico di Milano and other collaborators.

The current version is a **major redevelopment** of the original model: it has been restructured 
as an installable Python package based on Linopy, with a stable API and fully integrated GUI, and includes new consistent economic, 
battery degradation, inverter sizing, expanded stochastic optimisation and multi-year capacity-expansion features.

## Main developer and maintainer

- Alessandro Onori, Politecnico di Milano
  <alessandro.onori@polimi.it> — ORCID: 0009-0009-1195-2078

## Current contributors and Scientific advisory

- Nicolò Stevanato, Politecnico di Milano
  <nicolo.stevanato@polimi.it> — ORCID: 0000-0002-3419-0389
- Riccardo Mereu, Politecnico di Milano
  <riccardo.mereu@polimi.it> — ORCID: 0000-0003-0544-595X
- Emanuela Colombo, Politecnico di Milano
  <emanuela.colombo@polimi.it> — ORCID: 0000-0002-9747-5699

## Past contributors

The following contributors worked on **earlier versions** of MicroGridsPy, **up to the 2023 release line**:

- Francesco Lombardi, TU Delft
  — El Espino (2019), PowerTech (2019), MYCE (2020)
- Giulia Guidicini, Politecnico di Milano
  — MYCE (2020)
- Lorenzo Rinaldi, Politecnico di Milano
  — MYCE (2020)
- Gianluca Pellecchia, Politecnico di Milano
  — Third-generation minigrids (2023)
- Ivan Sangiorgio, Politecnico di Milano
  — Third-generation minigrids (2023)

The original MicroGridsPy framework and **first open-source release (2019)** were developed at the Université de Liège:

- Sergio Balderrama, Université de Liège
- Sylvain Quoilin, Université de Liège

## Development history

Key publications documenting the development of the model include:

- **El Espino (2019)** — S. Balderrama, F. Lombardi, F. Riva, W. Canedo, E. Colombo,
  S. 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* 188
  (2019) 116073. https://doi.org/10.1016/j.energy.2019.116073
- **PowerTech (2019)** — N. Stevanato, F. Lombardi, E. Colombo, S. Balderrama, S. Quoilin.
  "Two-stage stochastic sizing of a rural micro-grid based on stochastic load generation."
  *2019 IEEE Milan PowerTech*, pp. 1–6. https://doi.org/10.1109/PTC.2019.8810571
- **MYCE (2020)** — N. Stevanato, F. Lombardi, G. Guidicini, L. Rinaldi, S. L. Balderrama,
  M. Pavičević, S. Quoilin, E. Colombo. "Long-term sizing of rural microgrids: accounting
  for load evolution through multi-step investment plan and stochastic optimization."
  *Energy for Sustainable Development* 58 (2020) 16–29.
  https://doi.org/10.1016/j.esd.2020.07.002
- **Third-generation minigrids (2023)** — N. Stevanato, G. Pellecchia, I. Sangiorgio,
  D. Shendrikova, C. A. Soares, R. Mereu, E. Colombo. "Planning third generation minigrids:
  multi-objective optimization and brownfield investment approaches in modelling
  village-scale on-grid and off-grid energy systems." *Renewable and Sustainable Energy
  Transition* 3 (2023) 100053. https://doi.org/10.1016/j.rset.2023.100053
- **Financing schemes, ECOS (2023)** — G. Crevani, C. Soares, E. Colombo. "Modelling
  financing schemes for energy system planning: a mini-grid case study." *Proceedings of
  ECOS 2023*, pp. 1958–1969.
