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

Abstract

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.

Template‐based generation of programming language specific code for smart grid modelling compliant with CIM and CGMES

“…A succeeding correction, extension, and adaptation of the CIM C++ codebase is needed as, for instance, the CIM UML defines an Integer class but not how this shall be implemented in a particular programming language. The general usability of the generated codes out of CIM / CGMES specifications has been presented in case of CIM++, for example, in [19], for a converter from CIM based topologies to power grid simulator specific system models.…”

An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters

“…To further increase the flexibility in modeling, the open-source project CIMverter [14] has been integrated which allows conversion from the widely-used Common Information Model (CIM) respectively, Common Grid Model Exchange Standard (CGMES) documents to Modelica system models based on different Modelica libraries. We have provided a flexible way based on a well-known programming language instead of a domain specific language (DSL) to define different scenarios, for which we chose Python.…”