Abstract
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
Highlights
Background on microgrids and their controlMicro- and smart-grids (MSG) play an important role for integrating renewable energy sources in conventional electricity grids and for providing power supply in remote areas (Lund, Østergaard, Connolly, & Mathiesen, 2017)
The OpenModelica Microgrid Gym (OMG) toolbox provides a transient simulation framework for local energy grids based on power electronic converters
OpenModelica is used as the backend, allowing users to set up arbitrary electric grid designs via its well-known graphical user interface in a plug-and-play fashion (Fritzson et al, 2018)
Summary
The OpenModelica Microgrid Gym (OMG) toolbox provides a transient simulation framework for local energy grids based on power electronic converters. OpenModelica is used as the backend, allowing users to set up arbitrary electric grid designs via its well-known graphical user interface in a plug-and-play fashion (Fritzson et al, 2018). Simulations can be configured using a python interface, making it easy to integrate software modules for the realization and testing of closed control loops. The OpenAI Gym interface is provided to connect data-driven reinforcement learning algorithms for investigating intelligent microgrid control approaches (Brockman et al, 2016)
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