Microgrids.X¶
Operational & economic simulation of Microgrid projects
Project overview¶
Microgrids.X is a collection of packages for the operational & economic simulation of Microgrid projects. Based on this microgrid assessement model, an optimization problem can be built to find the most suitable microgrid sizing.
Microgrids.X packages are available open source in the following languages:
Julia: Microgrids.jl (yields the fastest simulation performance, by far)
Python: Microgrids.py
Matlab/Octave: Microgrids.m
All these packages aim at providing the same features using a common architecture and naming scheme. Using a native implementation of the same model in three different languages allows us to better serve the users’ preferences. This can be particularly useful in a teaching context.
Features¶
Microgrid composed of 1 load, 1 storage device, 1 dispatchable generator and any number of non dispatchable sources (wind, solar)
Operational simulation over a year with a short time step (typically: 1 hour)
Energy dispatch with a simple Load Following strategy (load is fed in priority with non dispatchable sources, then the battery, and the dispatchable generator is used in last recourse when the storage is empty)
Economic computation over the project lifecycle (for example: 25 years) by extrapolating the operational results (assuming each year of the project is similar). The Economic model takes into account:
Financial discount rate
Replacement of components based on the their operation-dependent lifetime (e.g. actual operating hours of the generator or number of cycles of the battery)
Salvage value of components at the end of the project
Scientific publications¶
More background (plus extra things on Automatic Differentiation) can be found in:
de Godoy Antunes, P. Haessig, C. Wang, and R. Chouhy Leborgne, “Optimal Microgrid Sizing using Gradient-based Algorithms with Automatic Differentiation,” accepted to ISGT Europe 2022, Novi Sad, Serbia, 2022. https://hal.archives-ouvertes.fr/hal-03370004
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