MicroGridsPy
type: Ontology
creation date: 2026-08-17T04:07:06+02:00
imports: http://semantic-mediawiki.org/swivt/1.0

MicroGridsPy
type: Subject
type: Category:Model
page: https://wiki.openmod-initiative.org/wiki/MicroGridsPy
wiki namespace: 0
author institution: Politecnico di Milano
authors: Sergio Balderrama, Sylvain Quoilin, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Emanuela Colombo, Riccardo Mereu, Nicolò Stevanato, Ivan Sangiorgio, Gianluca Pellecchia
citation doi: https://doi.org/10.1016/j.energy.2019.116073
citation 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,
contact persons: Nicolo' Stevanato
data availability: all
decisions: dispatch
decisions: investment
deterministic: Two-stage stochastic optimization
example research questions: -Long-term sizing of rural microgrids -Load evolution
full model name: MicroGridsPy
georesolution: Village-scale
is suited for many scenarios: true
license: European Union Public Licence Version 1.1 (EUPL-1.1)
math modeltype: Optimization
math modeltype shortdesc: The model is based on two-stage stochastic optimisation and LP or MILP mathematical formulation
math objective: Single or multi objective optimization (NPC, operation costs, CO2 emissions)
model class: Energy Modeling Framework
model source public: true
modelling software: Python (Pyomo)
open future: false
open source licensed: true
processing software: Excel
report references: -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
sectors: Micro-grids design
source download: MicroGridsPy-SESAM.git
technologies: Renewables
technologies: Conventional Generation
text description: 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. Main features: -Optimal sizing of PV panels, wind turbines, other renewable technologies, back-up genset and electrochemical storage system for least cost electricity supply in rural isolated areas; -Optimal dispatch from the identified supply systems; -Possibility to optimize on NPC or operation costs; -LCOE evaluation for the identified system. Possible features: -Two-stage stochastic optimization; -Multi-year evolving load demand and multi-step capacity expansion; -Possibility of connecting to the national grid; -Two-objective optimization (economic and environmental objective functions); -Brownfield optimization; -Built-in load archetypes for rural users; -Endogenous calculation of renewable energy sources production.
timeresolution: Hour
website: MicroGridsPy-SESAM
wiki page creation date: 2022-10-20T09:26:36Z
creation date#aux: 2459872.8934722
special property ERRP: Property:Computation time minutes
wiki page last editor: User:Gianluca Pellecchia
wiki page modification date: 2022-10-20T10:25:17Z
modification date#aux: 2459872.9342245
wiki page is new: false
wiki page sort key: MicroGridsPy