mosaik

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 network calculation frameworks like PYPOWER or pandpower and a demonstration scenario.

Mosaik API

The mosaik API allows you to easily integrate existing simulators, control strategies or other components into mosaik, no matter in which programming language they are implemented.

Scenario Definition

Mosaik provides a simple API to create large-scale simulation scenarios. You can start simulator processes, instantiate models and connect the resulting entities (e.g., one-by-one or based on probability distributions).

Sim Manager

Mosaik can start new processes for a simulator or alternatively connect to a running instance of it. If a simulator is written in Python 3, it can also be imported and executed in-process.

Coordinated Execution

Mosaik utilizes an event-discrete simulation approach that combines both time-based and event-based mechanisms to coordinate the execution of all simulators. Thus, each simulator can have a different step size which may even vary during the simulation.