]> 2026-04-16T12:37:48+02:00 MicroGridsPy 0 Sergio Balderrama, Sylvain Quoilin, Francesco Lombardi, Giulia Guidicini, Lorenzo Rinaldi, Emanuela Colombo, Riccardo Mereu, Nicolò Stevanato, Ivan Sangiorgio, Gianluca Pellecchia https://doi.org/10.1016/j.energy.2019.116073 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, Nicolo' Stevanato all dispatch investment Two-stage stochastic optimization -Long-term sizing of rural microgrids -Load evolution MicroGridsPy Village-scale true European Union Public Licence Version 1.1 (EUPL-1.1) Optimization The model is based on two-stage stochastic optimisation and LP or MILP mathematical formulation Single or multi objective optimization (NPC, operation costs, CO2 emissions) Energy Modeling Framework true Python (Pyomo) false true Excel -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 Micro-grids design Renewables Conventional Generation 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. Hour 2022-10-20T09:26:36Z 2459872.8934722 2022-10-20T10:25:17Z 2459872.9342245 false MicroGridsPy