OpenModelica - A free open-source environment for system modeling, simulation, and teaching

Fritzson, Peter; Aronsson, Peter; Pop, Adrian; Lundvall, Håkan; Nyström, Kaj; Saldamli, Levon; Broman, David; Sandholm, Anders

doi:10.1109/cacsd-cca-isic.2006.4776878

Cited by 43 publications

(24 citation statements)

References 5 publications

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“…Commercial vendors of Modelica-based simulation tools include Dymola [33], MathModelica [34], or MapleSim [35]. Opensource Modelica-based environments are provided by OpenModelica [36], and JModelica [37]. A conceptually similar approach has been realized with the proprietary package Simscape [19], which includes a rich set of extendable libraries for standard engineering problems.…”

Section: State Of the Artmentioning

confidence: 99%

Simulating Cyber-Physical Energy Systems: Challenges, Tools and Methods

Pálenský

Widl

Elsheikh

2014

IEEE Trans. Syst. Man Cybern, Syst.

139

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The energy system of the future is expected to be composed of a large variety of technologies and applications. However, the diverse nature of these components, their interlinked topology, and the sheer size of the system lead to an unprecedented level of complexity. Industry is confronted with severe problems in designing interoperable grid components, analyzing system stability, and improving efficiency. This paper describes the main challenges of continuous time-based and discrete event-based models of such cyber-physical energy systems. Using a characteristic test model, the scalability of the two approaches is analyzed. The results show the strengths and weaknesses of these two fundamentally different modeling principles that need to be considered when working with large scale cyber-physical energy systems.

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Section: State Of the Artmentioning

confidence: 99%

Simulating Cyber-Physical Energy Systems: Challenges, Tools and Methods

Pálenský

Widl

Elsheikh

2014

IEEE Trans. Syst. Man Cybern, Syst.

139

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“…A comprehensive overview of suitable vehicle modelling and simulation techniques is provided by Guzzella and Sciarretta [33] which considers both quasi-static and dynamic modelling approaches. Dynamic system modelling can be implemented using a range of tools [34,35] and is highly suited to vehicle power-train simulation. Using these numerical methods it is, however, computationally intensive to optimise parameters of the energy storage system (flywheel energy capacity, depth-of-discharge, component torque rating and multiple transmission gear ratios), particularly when the system contains a large number of variables.…”

Section: Analysis Of Flywheel Systemsmentioning

confidence: 99%

Optimisation of flywheel energy storage systems with geared transmission for hybrid vehicles

Read

Smith

Pullen

2015

Mechanism and Machine Theory

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Flywheel energy storage devices may be coupled to mechanical transmissions for braking energy recovery and the provision of additional power for acceleration in hybrid vehicles. Power transmission across a continuous range of speed ratios is necessary. The flywheel size and depth-ofdischarge must be chosen for a particular application, and this has a direct effect on transmission efficiency, required gearing ratios and mass of components. Optimisation of these parameters requires a fundamental understanding of this interaction, which has not previously been investigated and reported. To address this, the current paper presents a new method of analysing mechanical flywheel systems. A simple algebraic analysis can be used to specify flywheel system parameters for any regenerative braking application where the flywheel is used to provide initial acceleration of the vehicle from stationary. This has been applied to systems using geared transmissions with continuous speed variation achieved through sliding contact in clutch and brake components. The results of the analysis highlight how the optimum selection of flywheel depth-of-discharge must achieve a balance between high transmission efficiency and low system mass. This is illustrated for a passenger car application, allowing a full assessment of system performance and the specification of appropriate design parameters.

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“…The design of Modelica enables engineers to focus on the formulation of the physical model by the implementation of the underlying equations in a declarative manner (Fritzson 2015). The physical model can readily be implemented without the necessity to fix any causality through the definition of input and output variables, thus, increasing the flexibility and reusability of the models (Tiller 2001).…”

Section: Modelicamentioning

confidence: 99%

“…As a consequence many open-source and free power system simulation tools have been developed during recent years as, for instance, MATPOWER which is compatible to the proprietary MATLAB as well as the open-source GNU Octave environment (Zimmerman et al 2011), and its Python port PYPOWER. Other solutions are programmed in the object-and component-oriented multi-domain modeling language Modelica (Fritzson 2015). Since this allows a declarative definition of the model equations, the Modelica user resp.…”

Section: Introductionmentioning

confidence: 99%

“…programmer does not need to transform mathematical models into imperative code (i. e. assignments). Modelica simulations can be executed with the aid of proprietary environments such as Dymola and open-source ones such as OpenModelica (Fritzson et al 2006) and JModelica (Åkesson et al 2010) with various numerical backends. Modelica libraries with models for power system simulations are PowerSystems (Franke and Wiesmann 2014) and ModPowerSystems (Mirz et al 2016).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CIMverter–a template-based flexibly extensible open-source converter from CIM to Modelica

et al. 2018

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Over the last decade, the Common Information Model (CIM), as specified by IEC 61970 / 61968, has become an important document format for the storage of power grid data. Its object-oriented design makes it easily maintainable and extensible for many use cases in the energy sector. As a result, more and more power grid analysis and simulation tools allow the import and export of CIM based power grid data. Unfortunately, many of them are proprietary and therefore not convenient in the research area since their component models and numerical back-ends often cannot be modified by the user. Thus, open-source alternatives are in demand, such as simulation environments based on the popular modeling language Modelica. Therefore, this paper presents our approach of a template based CIM to Modelica converter. The usage of templates makes it easily adaptable for the generation of Modelica system models targeting arbitrary Modelica libraries. The presented approach is implemented in an open-source project called CIMverter, evaluated on a real-world case with two Modelica power system libraries, and validated against a proprietary simulation tool.

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OpenModelica - A free open-source environment for system modeling, simulation, and teaching

Cited by 43 publications

References 5 publications

Simulating Cyber-Physical Energy Systems: Challenges, Tools and Methods

Simulating Cyber-Physical Energy Systems: Challenges, Tools and Methods

Optimisation of flywheel energy storage systems with geared transmission for hybrid vehicles

CIMverter–a template-based flexibly extensible open-source converter from CIM to Modelica

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