Foundations of a Metamodel Repository for Use With the IEC Common Information Model

Hargreaves, Nigel; Pantea, Stefan; Carter, Alex; Taylor, Gareth

doi:10.1109/tpwrs.2013.2270302

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…Hargreaves et al . developed a novel metadata model repository which is used to represent knowledge of enterprise power system resources. The repository leverages the value of model namespaces and resource description framework technology in providing contexts for multiple identities referring to common power system resources.…”

Section: Related Workmentioning

confidence: 99%

“…However, the authors admitted that the power distribution network has a large number of objects which can generate a large size of data which makes CIM data verification a challenging issue. Hargreaves et al [13] developed a novel metadata model repository which is used to represent knowledge of enterprise power system resources. The repository leverages the value of model namespaces and resource description framework technology in providing contexts for multiple identities referring to common power system resources.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A MapReduce‐based parallel K‐means clustering for large‐scale CIM data verification

Deng

Liu

et al. 2015

Concurrency and Computation

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The Common Information Model (CIM) has been heavily used in electric power grids for data exchange among a number of auxiliary systems such as communication systems, monitoring systems and marketing systems. With an rapid deployment of digitalized devices in electric power networks, the volume of data continuously grows which makes verification of CIM data a challenging issue. This paper presents a parallel K-means for large scale CIM data verification based on the MapReduce computing model which has been widely taken up by the community in dealing with data intensive applications. By distributing the CIM data into a number of computers in a MapReduce cluster environment, the computation in CIM data verification is significantly improved. Furthermore, a load balancing scheme is designed to balance the workloads among the heterogeneous MapReduce computing nodes for a further improvement in computation efficiency. The performance of the parallel K-means clustering in CIM data verification is first evaluated in a small scale experimental MapReduce cluster and subsequently evaluated in a large scale simulation environment.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A MapReduce‐based parallel K‐means clustering for large‐scale CIM data verification

Deng

Liu

et al. 2015

Concurrency and Computation

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“…Although there has been some activity toward creating and leveraging a common modeling approach in some engineering disciplines such as the power system's Common Information Model (CIM) [2], these attempts are still largely concentrated within a single discipline and only alleviate concerns of sharing data between tools in a single engineering domain. Furthermore, most attempts at creating a common model have focused on the physical geometry of the equipment.…”

Section: Modeling In a Cdementioning

confidence: 99%

Modeling and data exchange in a concurrent and collaborative design environment for electric ships

Langland

Leonard

Smart

et al. 2015

2015 IEEE Electric Ship Technologies Symposium (ESTS)

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Recent advances in the sensor and weapons systems being installed on US Navy ships and the electrification required to power them are now forcing the engineering community to re-evaluate the effectiveness of the tools and processes now in use. At the same time, over the last decade there have been significant changes in the way that software is architected and developed. User expectations for software tools have also radically changed. Newly minted engineers have grown to expect that any needed information can be easily found and that interactions with peers can happen seamlessly, allowing for ideas to freely flow. Now, more than at any other time, the complexity of the design of modern ships calls for new design tools and methods that permit, early in the design process, interactions and the exchange of information and ideas between all major disciplines including electrical, mechanical, thermal, control engineers, and the traditional naval architecture and marine engineering teams. The Electric Ship Research and Development Consortium (ESRDC) has developed a collaborative design environment called S3D (Smart Ship SystemDesign) with the goal of reforming the way in which engineers collaborate, model, design, and simulate complex systems, bringing together, as never before, the various disciplines involved in the ship design process. This paper will focus on the modeling and data exchange concerns that have typically represented major obstacles in the implementation of a collaborative design environment and the approaches taken by ESRDC and others to resolve these problems.

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“…For solving the problems, the expansion of the IEC 61970-453 graphic model is proposed. A method to build a metadata storage model was proposed in [9] to solve the problem of the metadata model wherein multiple IDs are merged within the storage in the CIM. A methodology for automation that requires manual mapping is suggested in [10], since there is no standard for interaction between IEC 61850-based systems and IEC 61970-based systems.…”

Section: Introductionmentioning

confidence: 99%

Development of a Platform for Securing Interoperability between Components in a Carbon-Free Island Microgrid Energy Management System

Hwang

Song

et al. 2021

Energies

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The rigidity of information technology (IT) has been hindering the development of various businesses regarding energy management systems (EMSs) of power networks, although this area has become more diversified, resulting in changes of elements in the systems due to the introduction of renewable energy (RE) and the new energy industry. In order to effectively accommodate these changes, EMSs should be developed in a structure with a standard-based interface, which can secure interoperability between components in the EMS. In previous studies, the common information model (CIM) proposed by IEC TC57 has been utilized for developing EMSs of power networks, but there are gaps between the existing CIM and an information model for the EMSs of carbon-free island microgrids (MGs), which are a newly introduced form of power network covering multiple islands for reducing carbon emissions. This paper proposes a CIM-based software platform for a carbon-free island MG-EMS to efficiently operate the power network and secure interoperability between components in the MG-EMS. Concerning service restoration of the power network, use cases and business objects representing information exchanged between the components in the EMS are derived, and the existing CIM is extended based on the results of the gap analysis in order to provide necessary information on the MG-EMS. The validity of the proposed platform is verified by exchanging payloads between components in the MG-EMS based on the profile extracted from the extended CIM. Furthermore, the performance of the proposed platform regarding data size and speed of data exchange is presented. Based on the case study results, it is concluded that the proposed platform based on the extended CIM can exchange data between the components in the MG-EMS, achieving reasonable data size and speed of data exchange with the help of the interoperability between components in the carbon-free island MG-EMS.

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Foundations of a Metamodel Repository for Use With the IEC Common Information Model

Cited by 10 publications

References 22 publications

A MapReduce‐based parallel K‐means clustering for large‐scale CIM data verification

A MapReduce‐based parallel K‐means clustering for large‐scale CIM data verification

Modeling and data exchange in a concurrent and collaborative design environment for electric ships

Development of a Platform for Securing Interoperability between Components in a Carbon-Free Island Microgrid Energy Management System

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