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mosaik
by OFFIS
Authors:
Contact:
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Mosaik is a flexible Smart Grid co-simulation framework.
Mosaik allows you to reuse and combine existing simulation models and simulators to create large-scale Smart Grid scenarios – and by large-scale we mean thousands of simulated entities distributed over multiple simulator processes. These scenarios can then serve as test bed for various types of control strategies (e.g., multi-agent systems (MAS) or centralized control).
Mosaik is written in Python and completely open source (LGPL), including some simple simulators, a binding to pandapower and PYPOWER and a demonstration scenario.
Based on Python. Using HDF5, InfluxDB, Grafana for data processing.
Website / Documentation
Download
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 Open Source
GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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distributed energy systems, smart grid simulation
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| Sectors
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electricity, heat, mobility, household
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| Technologies
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Renewables, CHP
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| Decisions
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| Regions
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| Geographic Resolution
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| Time resolution
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Second
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| Network coverage
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transmission, distribution
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| Model type
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Optimization, Simulation, Agent-based
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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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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
A. Ofenloch et al., "MOSAIK 3.0: Combining Time-Stepped and Discrete Event Simulation," 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2022, pp. 1-5
https://dx.doi.org/10.1109/OSMSES54027.2022.9769116.
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