An OpenModelica Python Interface and its use in PySimulator

Abstract

How can Python users be empowered with the robust simulation, compilation and scripting abilities of a nonproprietary object-oriented, equation based modeling language such as Modelica? The immediate objective of this work is to develop an application programming interface for the OpenModelica modeling and simulation environment that would bridge the gap between the two agile programming languages Python and Modelica.The Python interface to OpenModelica -OMPython, is both a tool and a functional library that allows Python users to realize the full capabilities of OpenModelica's scripting and simulation environment requiring minimal setup actions. OMPython is designed to combine both the simulation and model building processes. Thus domain experts (people writing the models) and computational engineers (people writing the solver code) can work on one unified tool that is industrially viable for optimization of Modelica models, while offering a flexible platform for algorithm development and research.

Using Multi-Physics Simulation to Estimate Energy Flexibility for Local Demand Response Strategies in a Microgrid

“…The download of this data is made by the script Weather Data Downloader, which stores it into a text file to be read by the simulator through a combiTimeTable block. Once this data is stored into the text file, the script Simulation Manager controls the execution of the simulation models through the API conceived for such use called OMPython (Ganeson et al, 2012). Through this API we are able to send the parameters of the simulation to OpenModelica, execute the simulation, and store the results into a user defined CSV file.…”

Model‐Based Tool Integration and Ontology‐Driven Traceability in Model‐Based Development Environments

“…We have extended the list of simulator plugins in PySimulator [4] by the Wolfram SystemModeler 4 simulator, which enables to automatically analyze models using this tool. We have also extended OMPython [83] to enable better integration with Python for simulation and advanced analysis of EOO Modelica models.…”

Comparative Analysis of Boost and Hybrid Boost Converters

“…( 24), which defines the state of inductor L 1 ; Eqs. (15) and (20) yield Eq. ( 25), which defines the state of inductor L 2 ; Eqs.…”

“…The OpenModelica software was employed because of its widespread use in the industry, as it is a free and open-source environment based on Modelica. In addition, OpenModelica allows for the simulation of linear and nonlinear systems (14), (15).…”