Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin

Xinyuan He; Tianyang Zhao; Shuang Cheng; Chenghong Gu

doi:10.1109/CEEPE58418.2023.10165910

Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin

Xinyuan He
, Tianyang Zhao
, Shuang Cheng
, Chenghong Gu

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

5 Citations (SciVal)

Abstract

The net-zero transition is a global trend, during which -microgrid-(MG) plays an important role in integrating renewable generation and low-carbon demand. Facilitated by the advance in Information and Communication Technology (ICT), a Microgrid Digital Twin (MGDT) allows further increasing the utilization of renewable energy sources and identifying customer flexibility by capitalizing on the value of real-time monitoring and machine learning-facilitated decision-making. However, there is a lack of consistency and standards in implementing MGDTs. In this paper, an information model for MGDT based on the popular Common Information Model (CIM) and CIM extension studies is proposed to define the key information structure of an MGDT. This work provides a reusable metadata model to facilitate future MGDT implementations.

Original language	English
Title of host publication	2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023
Place of Publication	U. S. A.
Publisher	IEEE
Pages	503-508
Number of pages	6
ISBN (Electronic)	9798350348279
DOIs	https://doi.org/10.1109/CEEPE58418.2023.10165910
Publication status	Published - 7 Jul 2023
Event	International Conference on Energy, Electrical and Power Engineering - Guangzhou, China Duration: 12 May 2023 → 14 May 2023

Publication series

Name	2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023

Conference

Conference	International Conference on Energy, Electrical and Power Engineering
Abbreviated title	CEEPE
Country/Territory	China
City	Guangzhou
Period	12/05/23 → 14/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Common information model
Digital twin
Information model
Microgrid

ASJC Scopus subject areas

Control and Optimization
Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/CEEPE58418.2023.10165910

Cite this

He, X., Zhao, T., Cheng, S., & Gu, C. (2023). Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin. In 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023 (pp. 503-508). (2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023). IEEE. https://doi.org/10.1109/CEEPE58418.2023.10165910

Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin. / He, Xinyuan; Zhao, Tianyang; Cheng, Shuang et al.
2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023. U. S. A.: IEEE, 2023. p. 503-508 (2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

He, X, Zhao, T, Cheng, S & Gu, C 2023, Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin. in 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023. 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023, IEEE, U. S. A., pp. 503-508, International Conference on Energy, Electrical and Power Engineering , Guangzhou, China, 12/05/23. https://doi.org/10.1109/CEEPE58418.2023.10165910

He X, Zhao T, Cheng S, Gu C. Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin. In 2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023. U. S. A.: IEEE. 2023. p. 503-508. (2023 6th International Conference on Energy, Electrical and Power Engineering, CEEPE 2023). doi: 10.1109/CEEPE58418.2023.10165910

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abstract = "The net-zero transition is a global trend, during which -microgrid-(MG) plays an important role in integrating renewable generation and low-carbon demand. Facilitated by the advance in Information and Communication Technology (ICT), a Microgrid Digital Twin (MGDT) allows further increasing the utilization of renewable energy sources and identifying customer flexibility by capitalizing on the value of real-time monitoring and machine learning-facilitated decision-making. However, there is a lack of consistency and standards in implementing MGDTs. In this paper, an information model for MGDT based on the popular Common Information Model (CIM) and CIM extension studies is proposed to define the key information structure of an MGDT. This work provides a reusable metadata model to facilitate future MGDT implementations.",

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KW - Digital twin

KW - Information model

KW - Microgrid

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Common Information Model Extension for Multi-Energy Microgrids to Enable Digital Twin

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this