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

Gómez, F.J.; Vanfretti, Luigi; Olsen, Svein H.

doi:10.1109/tii.2017.2785439

Cited by 18 publications

(11 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subject of studies found using ''strategy 4'' involve automatic generation of simulation models from a standardized power system model [52], deriving test bed configurations for automation systems validation [53] and model transformations for survivability analysis [54]. Study [51] is a survey of promising standards for network and device modeling to be used in a development environment.…”

Section: Review Results Discussionmentioning

confidence: 99%

“…In total, 25 out of the 40 reviewed studies mention such concepts. Out of these 25 studies, 20 are closely related to power systems automation or smart grids applications, and just five mention concepts related to energy management (references [4], [17], [46], [51], [52]).…”

Section: B Answers To Research Questionmentioning

confidence: 99%

“…• Five studies mention the use of the IEC 61970/61968 EMS API (CIM) standards for modeling some properties of power systems applications (references [4], [36], [51], [52], [54]). Since the CIM does not specify behavior, its use is focused in the representation of physical properties of the power network, like electrical equipment parameters and connectivity.…”

Section: ) Domain Specific Languagesmentioning

confidence: 99%

“…The plug-in exports the OPC-UA address space definition, in XML, from the IEC 61970 CIM, in UML. Another study mentioning similar model-to-model transformations is [52], in which a power network model described in the IEC 61970 CIM is used for deriving Modelica models of physical power systems for dynamic simulations.…”

Section: ) Transformation Engines and Generatorsmentioning

confidence: 99%

See 3 more Smart Citations

Model Driven Software Engineering of Power Systems Applications: Literature Review and Trends

2019

View full text Add to dashboard Cite

This paper presents a survey on Software Engineering techniques for the power systems area. Our goal is to identify tools and techniques that can improve the life cycle management of customized applications for Energy Management Systems (SCADA/EMS), by applying a Model Driven Engineering (MDE) approach. We conducted a systematic literature review of published works related to the design and development of such applications. Two main repositories of publications in the area were used as sources and four search strategies were applied. Several works found are not directed to SCADA/EMS, but are related to other power systems applications. We have collected evidence that such applications are more commonly modeled using concepts specific to the power systems' domain, like control theory, rather than traditional techniques and tools from the software industry, like UML. However, few details about the process of transforming those specifications into software artifacts could be gathered. On the other hand, a few published works mention the MDE approach for power systems related applications, although clear methodology or frameworks applicable to the production of fully functional software are still missing. We have also identified promising technologies that need to be evaluated in order to propose such a framework, like domain specific languages, transformation engines and integration interfaces. The appealing MDE concept of automatically transforming design and specification models into programs and other software artifacts has the potential to facilitate the porting and migration of EMS applications from one platform to others. Ultimately, such an approach may help improving software quality and cutting development costs. INDEX TERMS Model driven engineering, SCADA/EMS, software engineering, power systems.

show abstract

Section: Review Results Discussionmentioning

confidence: 99%

Section: B Answers To Research Questionmentioning

confidence: 99%

Section: ) Domain Specific Languagesmentioning

confidence: 99%

Section: ) Transformation Engines and Generatorsmentioning

confidence: 99%

See 2 more Smart Citations

Model Driven Software Engineering of Power Systems Applications: Literature Review and Trends

2019

View full text Add to dashboard Cite

show abstract

“…Moreover, converters from various document formats to Modelica were developed in the past. In (Cao et al 2015), for instance, a flexible model transformation from Building Information Models (BIM) to Recently, the software project cim2modelica was published (Gómez et al 2018). It allows for defining direct mappings from CIM object attributes to the ones in Modelica by a DSL as it is not possible in CIMverter.…”

Section: Related Work and Discussionmentioning

confidence: 99%

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

et al. 2018

View full text Add to dashboard Cite

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.

show abstract

Development of Control Automation for Energy Objects Based on the Unified Process Approach

Khokhlovskiy

Oleinikov

Shkodyrev

2021

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

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

Cited by 18 publications

References 16 publications

Model Driven Software Engineering of Power Systems Applications: Literature Review and Trends

Model Driven Software Engineering of Power Systems Applications: Literature Review and Trends

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

Development of Control Automation for Energy Objects Based on the Unified Process Approach

Contact Info

Product

Resources

About