What is the CIM lacking?

Uslar, Mathias; Rohjans, Sebastian; Specht, Michael; Vázquez, José Manuel González

doi:10.1109/isgteurope.2010.5638926

Cited by 21 publications

(7 citation statements)

References 2 publications

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“…For instance, version 13 of the data model includes 45 packages comprising about 900 classes with more than 2650 attributes and being connected by about 870 associations [10]. Hence, CIM provides an opportunity for modeling almost all relevant use cases in terms of smart grid communications among Energy Management Systems (EMS) and Distribution Management Systems (DMS).…”

Section: Common Information Modelmentioning

confidence: 99%

CIMbaT - automated generation of CIM-based OPC UA-address spaces

Rohjans

Piech

Uslar

et al. 2011

2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Realizations of so called smart grids imply numerous challenges for stakeholders within the energy domain. ICT plays more and more a key role as it provides methodologies and approaches fostering smart grid applications. One of the challenges addresses integrated communications among energy management systems, distribution management systems, power generation systems and SCADA systems. In this case, a key issue to be considered is interoperability in terms of both syntax and semantics. For both, using standardized components like interfaces, protocols and data models, is essential to cope with the increasing number of actors and systems. Standards covering these components are discussed in various roadmaps and studies making recommendations. The Common Information Model is one of the recommended core standards for the smart grid and provides amongst others, a comprehensive data model for the energy domain. Another recommended standard is the OPC Unified Architecture being an abstract standard for server-clientcommunications which could be used in domain-specific contexts. Thus, combining the CIM data model and the UA communication architecture leads to a highly interoperable infrastructure meeting syntactic and semantic requirements. In this contribution, a two-step-approach is introduced realizing such an architecture.

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Section: Common Information Modelmentioning

confidence: 99%

CIMbaT - automated generation of CIM-based OPC UA-address spaces

Rohjans

Piech

Uslar

et al. 2011

2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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“…As already illustrated in Section III-A a machine readable model of all relevant layers is important to allow for an automated orchestration. Common standards for describing components --respectively their interfaces -like IEC 61850, IEC 61499, UML, Common Information Model (IEC 61970/61968; CIM [17]), OPC UA etc. are partially machine readable.…”

Section: B Modelling Of Experimentsmentioning

confidence: 99%

Using large-scale local and cross-location experiments for smart grid system validation

Buscher

Lehnhoff

Rohjans

et al. 2015

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

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Abstract-For robust testing of new technologies used in future, intelligent power and energy systems, realistic testing environments are needed. Due to the dimensions of a real-world environment a field-based installation is often not viable. More efficient instead of a local installation is to connect existing and highly sophisticated labs with different focus of specialization. Today's experimental setups for the Smart Grid domain are very time-consuming solutions or specific implementations for a single project. To overcome this challenge, an innovative concept for a novel approach for large-scale co-simulation across locations (different labs) is presented in this paper.

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“…Especially compared to the recommendations by prevalent communication standards for Smart Grids, including the IEC 61850 [7], OpenADR [8] and CIM [9] standards.…”

Section: Introductionmentioning

confidence: 99%

Smart grid communication comparison: Distributed control middleware and serialization comparison for the Internet of Things

Petersen

Bindner

Poulsen

et al. 2017

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Abstract-To solve the problems caused by intermittent renewable energy production, communication between Distributed Energy Resources (DERs) and system operators is necessary. The communication middleware and serialization used for communication are essential to ensure delivery of the messages within the required timeframe, to provide the necessary ancillary services to the power grid. This paper shows that there are better alternatives to using Web Services and XMPP as middleware and that there are better alternatives than using XML for serialization. The paper also gives guidance at choosing the best communication middleware and serialization format/library, aided by the authors' earlier work, which investigates the performance and characteristics of communication middleware and serialization independently. Given the performance criteria of the paper, ZeroMQ, YAMI4, and ICE are the middleware that performs the best, and ProtoBuf (ProtoStuff), and ProtoStuff are the serialization that performs the best.

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What is the CIM lacking?

Cited by 21 publications

References 2 publications

CIMbaT - automated generation of CIM-based OPC UA-address spaces

CIMbaT - automated generation of CIM-based OPC UA-address spaces

Using large-scale local and cross-location experiments for smart grid system validation

Smart grid communication comparison: Distributed control middleware and serialization comparison for the Internet of Things

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