Binding CIM and modelica for consistent power system dynamic model exchange and simulation

CIM-Compliant Power System Dynamic Model-to-Model Transformation and Modelica Simulation

“…The complete process of binding the CIM syntax and Modelica syntax presented in this paper gives a mechanism to use mathematical modeling language as a complement for the CIM Dynamics information exchange profile, and its CGMES extension. The use of Modelica for the modeling of power systems dynamic behavior allows to comply with the application of EU rules for security, interoperability and transparency established by European regulations [8]. This work gives a proof of concept of how to follow Annex F in the new CGMES 2.5 standard guidelines [14], corresponding to the IEC 61970-600, to use Modelica models as a means to exchange user defined models defined in a Modelica library, and serves as an example of the feasibility of the approach recommended by this Annex F.…”

“…In this paper, The M2M transformation is built on [8], with a focus on the UML and SysML semantics representations from CIM and the Modelica language. The workflow in Fig.…”

Coalesced Gas Turbine and Power System Modeling and Simulation using Modelica

“…The authors of (Vanfretti et al, 2013) and (Gómez, Vanfretti, & Olsen, 2015) have shown that Modelica language is able to cope with the exposed ambiguous model sharing issue while facilitating the access and/or modification of models at the "equation-level". Some additional advantages of Modelica are the open distribution of several libraries meant to represent physical systems, and the fact that models are independent from IDEs and solvers (Gómez et al, 2015). In addition, Modelica tools are now supporting the required numerical techniques to simulate large power grids (Braun, Casella, & Bachmann, 2017;Casella, Leva, & Bartolini, 2017;Dassault Systemes, 2018).…”

Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA

“…Specialized tools that allow the modeling and simulation of multi-domain systems for power system analysis have been created (Nicolet, Sapin, Simond, Prenat, & Avellan, 2001;Sapin, 1995), however they do not support power grid modeling for stability-analysis or the capability to simulate large grids. The authors of (Vanfretti et al, 2013) and (Gómez, Vanfretti, & Olsen, 2015) have shown that Modelica language is able to cope with the exposed ambiguous model sharing issue while facilitating the access and/or modification of models at the "equation-level". Some additional advantages of Modelica are the open distribution of several libraries meant to represent physical systems, and the fact that models are independent from IDEs and solvers (Gómez et al, 2015).…”

“…The authors of (Vanfretti et al, 2013) and (Gómez, Vanfretti, & Olsen, 2015) have shown that Modelica language is able to cope with the exposed ambiguous model sharing issue while facilitating the access and/or modification of models at the "equation-level". Some additional advantages of Modelica are the open distribution of several libraries meant to represent physical systems, and the fact that models are independent from IDEs and solvers (Gómez et al, 2015). In addition, Modelica tools are now supporting the required numerical techniques to simulate large power grids Casella, Leva, & Bartolini, 2017;Dassault Systemes, 2018).…”