Key Technologies Research of the Interoperable Model Verification Based on CIM/E

Smart grids with interoperability improve grid reliability by collecting system information and transferring it to an energy management system and associated applications through a seamless end-to-end connection. To achieve interoperability, it is required to exchange the semantic information within the different domains. The international electrotechnical commission has established the Common Information Model (CIM) tool, which is a standard application programming interface for the exchange of semantic information in power systems. CIM provides a robust framework for accurate data sharing, merging, and transformation into reusable information. However, as CIM provides a basic framework for information exchange, various practical issues arise in establishing an energy management system capable of exchanging information using CIM. This paper aims to offer a comprehensive understanding by summarizing and categorizing the research on the practical use of CIM for interoperability in smart grids. Many papers are analyzed and the issues are classified into CIM extension, harmonization, and validation to address the issues that arise when establishing an integrated information exchange system.

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“…Hallé et al [92] Yu et al [26] Zhang et al [93] RDF Dangi et al [94] Tomaszuk, Dominik [95] Nenadić et al [96]…”

Section: Xmlmentioning

confidence: 99%

“…Zhang et al [93] analyzed the interoperability model currently in use and proposed an interoperability test that enables file format validation, CIM compliance verification, and model validation.…”

Section: Xml Validationmentioning

confidence: 99%

A Comprehensive Review of Practical Issues for Interoperability Using the Common Information Model in Smart Grids

et al. 2020

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“…Deng et al proposed a K-means clustering algorithm for large-scale CIM data verification to reduce the computational complexity and improve accuracy [33]. Since CIM has an RDF structure, can be written in extensible markup language (XML) format, and can also be expressed in the unified modeling language (UML), all three models are used for the validation [34]- [36]. CIM data can be converted to models compatible with distribution simulators such as GridLAB-D [37] and validated against pre-recorded measurements [38].…”

Section: Introductionmentioning

confidence: 99%

Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model Framework

et al. 2022

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The evolving nature of electric power distribution systems is motivating the development of advanced applications for utility planning, operation, management, and control. These model-based applications interact with multiple subsystems within software platforms referred to as advanced distribution management systems. Recently, the Common Information Model has been used to enable data model standardization across several entities. Model fidelity is the key to the development of leading-edge, scalable model-based algorithms and assessment of emerging technologies such as distributed energy resources for grid planning and operation. However, distribution system models are error-prone and model validation is challenging due to: (1) the need for considerable time and effort to maintain the network models, (2) update delays due to the evolving nature of the real-world systems that models are derived from, and (3) inevitable human errors in the process which are difficult to detect. In this paper, we extend a model validation application from our prior work referred to as the Model Validator to derive and validate a system admittance matrix using the Common Information Model. First, we introduce different modules for computing device-level primitive admittance matrices from Common Information Model parameters. These individual primitive admittance matrices are then used to validate corresponding entries in a full system admittance matrix. In addition, we validate the overall system admittance matrix by checking for gaps in coverage or extra elements that are not expected. The proposed approach checks the validity of each piece of network model equipment separately and identifies inconsistencies between Common Information Model parameters and the system admittance matrix at the device level. Furthermore, where devices can be specified using different combinations of Common Information Model parameters, each parameter combination is validated separately. This breakdown can help distribution engineers more efficiently apply root cause analysis for inconsistencies. The Model Validator application is implemented on top of GridAPPS-D, an open-source standards-based platform for advanced distribution management system application development. The effectiveness of the proposed application is demonstrated on six different test cases: four IEEE feeders, the Electric Power Research Institute J1 circuit, and a taxonomy feeder.INDEX TERMS Common information model, model checking, network topology, power distribution, power system modeling, system validation. NOMENCLATUREA.

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Key Technologies Research of the Interoperable Model Verification Based on CIM/E

Cited by 2 publications

References 3 publications

A Comprehensive Review of Practical Issues for Interoperability Using the Common Information Model in Smart Grids

A Comprehensive Review of Practical Issues for Interoperability Using the Common Information Model in Smart Grids

Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model Framework

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