Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations

Jiaxuan Han; Qiteng Hong; Zhiwang Feng; Graeme Burt; Campbell Booth

doi:10.1109/IECON51785.2023.10312555

Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations

Jiaxuan Han, Qiteng Hong, Zhiwang Feng, Graeme Burt, Campbell Booth

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

82 Downloads (Pure)

Abstract

This paper analyzes the requirements for the reporting rate of the live data source to support the operation of Digital Twins (DTs) of Distributed Energy Resources (DERs) for real-time power systems monitoring applications. The visibility of distribution networks is currently limited due to the lack of sufficient measurement and communication infrastructures. With the rapid increase of DERs, it becomes increasingly important to improve the visibility of the distribution networks to ensure the critical system operating constrains are continuously met. DTs are virtual replicas of physical systems, and with certain live measurement data, they can be used to accurately represent the real-time dynamics of the physical entities. The features of DTs could therefore be applied to increase the visibility of network and potentially support real-time decisions making. This paper presents the investigation of the impact of data reporting rate on DT accuracy, based on which, the paper presents a method that could be used to quantify the minimum requirements for data reporting rate to adequately support the DT operation, which provides valuable learning for specifying measurement devices and communication networks to enable DTs-based solutions.

Original language	English
Title of host publication	IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Electronic)	9798350331820
DOIs	https://doi.org/10.1109/IECON51785.2023.10312555
Publication status	Published - 16 Nov 2023
Event	The 49th Annual Conference of the IEEE Industrial Electronics Society: IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 https://www.iecon2023.org/

Publication series

Name	Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
ISSN (Electronic)	2577-1647

Conference

Conference	The 49th Annual Conference of the IEEE Industrial Electronics Society
Country/Territory	Singapore
City	Singapore
Period	16/10/23 → 19/10/23
Internet address	https://www.iecon2023.org/

Funding

This work was supported in part by the EPSRC RESCUE project (EP/T021829/1).

Keywords

digital twin (DT)
reporting rate
accuracy
power hardware-in-the-loop (PHIL)

Access to Document

10.1109/IECON51785.2023.10312555

Han-etal-IECON-2023-Digital-twins-of-distributed-energy-resources-for-real-time-monitoringAccepted author manuscript, 2.75 MBLicence: Strath_1

1 Finished

Resilient Future Urban Energy Systems Capable of Surviving in Extreme Events (RESCUE)
Booth, C. (Principal Investigator), Blair, S. (Co-investigator) & Hong, Q. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/20 → 30/09/24
Project: Research

Dynamic Power Systems Laboratory
Burt, G. (Manager)
Electronic And Electrical Engineering
Facility/equipment: Facility

3 Citations
2 Article

Cloud-edge hosted digital twins for coordinated control of distributed energy resources
Han, J., Hong, Q., Syed, M. H., Khan, M. A. U., Yang, G., Burt, G. & Booth, C., 1 Apr 2023, In: IEEE Transactions on Cloud Computing. 11, 2, p. 1242-1256 15 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
23 Citations (Scopus)

138 Downloads (Pure)
Design and implementation of a real-time hardware-in-the-loop platform for prototyping and testing digital twins of distributed energy resources
Han, J., Hong, Q., Feng, Z., Syed, M. H., Burt, G. M. & Booth, C. D., 10 Sept 2022, In: Energies. 15, 18, 19 p., 6629.
Research output: Contribution to journal › Article › peer-review

Open Access
File
8 Citations (Scopus)

83 Downloads (Pure)

Cite this

Han, J., Hong, Q., Feng, Z., Burt, G., & Booth, C. (2023). Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations. In IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-7). (Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON51785.2023.10312555

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abstract = "This paper analyzes the requirements for the reporting rate of the live data source to support the operation of Digital Twins (DTs) of Distributed Energy Resources (DERs) for real-time power systems monitoring applications. The visibility of distribution networks is currently limited due to the lack of sufficient measurement and communication infrastructures. With the rapid increase of DERs, it becomes increasingly important to improve the visibility of the distribution networks to ensure the critical system operating constrains are continuously met. DTs are virtual replicas of physical systems, and with certain live measurement data, they can be used to accurately represent the real-time dynamics of the physical entities. The features of DTs could therefore be applied to increase the visibility of network and potentially support real-time decisions making. This paper presents the investigation of the impact of data reporting rate on DT accuracy, based on which, the paper presents a method that could be used to quantify the minimum requirements for data reporting rate to adequately support the DT operation, which provides valuable learning for specifying measurement devices and communication networks to enable DTs-based solutions.",

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author = "Jiaxuan Han and Qiteng Hong and Zhiwang Feng and Graeme Burt and Campbell Booth",

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Han, J , Hong, Q , Feng, Z , Burt, G & Booth, C 2023, Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations. in IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Annual Conference of the IEEE Industrial Electronics Society, IEEE, Piscataway, NJ, pp. 1-7, The 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 16/10/23. https://doi.org/10.1109/IECON51785.2023.10312555

Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations. / Han, Jiaxuan ; Hong, Qiteng ; Feng, Zhiwang et al.
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Piscataway, NJ: IEEE, 2023. p. 1-7 (Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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N1 - © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - This paper analyzes the requirements for the reporting rate of the live data source to support the operation of Digital Twins (DTs) of Distributed Energy Resources (DERs) for real-time power systems monitoring applications. The visibility of distribution networks is currently limited due to the lack of sufficient measurement and communication infrastructures. With the rapid increase of DERs, it becomes increasingly important to improve the visibility of the distribution networks to ensure the critical system operating constrains are continuously met. DTs are virtual replicas of physical systems, and with certain live measurement data, they can be used to accurately represent the real-time dynamics of the physical entities. The features of DTs could therefore be applied to increase the visibility of network and potentially support real-time decisions making. This paper presents the investigation of the impact of data reporting rate on DT accuracy, based on which, the paper presents a method that could be used to quantify the minimum requirements for data reporting rate to adequately support the DT operation, which provides valuable learning for specifying measurement devices and communication networks to enable DTs-based solutions.

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PB - IEEE

CY - Piscataway, NJ

Y2 - 16 October 2023 through 19 October 2023

ER -

Digital twins of distributed energy resources for real-time monitoring: data reporting rate considerations

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Fingerprint

Projects

Resilient Future Urban Energy Systems Capable of Surviving in Extreme Events (RESCUE)

Equipment

Dynamic Power Systems Laboratory

Research output

Cloud-edge hosted digital twins for coordinated control of distributed energy resources

Design and implementation of a real-time hardware-in-the-loop platform for prototyping and testing digital twins of distributed energy resources

Cite this