Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity

Junyan Shao; Baoze Wei; Yajuan Guan; Najmeh Bazmohammadi; Juan C. Vasquez; Josep M. Guerrero

doi:10.1109/ECCE53617.2023.10362682

Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity

Junyan Shao^*, Baoze Wei, Yajuan Guan, Najmeh Bazmohammadi, Juan C. Vasquez, Josep M. Guerrero

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Microgrid power autonomy and peer-to-peer trading are used exploratively in some parts of Northern Europe. Thus, a unified mathematical indicator is required to evaluate the power supply capacity of microgrids in the context of peer-to-peer trading of microgrids. This paper develops an evaluation index of redundancy power for home microgrid-available transaction power (ATP). A forward-looking data-driven model is integrated into the physical microgrid asset to forecast the multi-type power variation. The utilization of feedback design and the interactive iterative underpin the interaction between asset-twin systems in the home microgrid. Furthermore, optimal operation parameters of the home microgrid digital twin (HMDT) are leveraged to calculate ATP. The simulation and experimental results verify the effectiveness of the proposed approach.

Original language	English
Title of host publication	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Number of pages	6
Publisher	IEEE
Publication date	2023
Pages	6176-6181
Article number	10362682
ISBN (Print)	979-8-3503-1645-2
ISBN (Electronic)	979-8-3503-1644-5
DOIs	https://doi.org/10.1109/ECCE53617.2023.10362682
Publication status	Published - 2023
Event	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: 29 Oct 2023 → 2 Nov 2023

Conference

Conference	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/Territory	United States
City	Nashville
Period	29/10/2023 → 02/11/2023
Sponsor	COMSOL, DELTA, et al., Hitachi, John Deere, Oak Ridge National Laboratory

Series	IEEE Energy Conversion Congress and Exposition (ECCE)
ISSN	2329-3748

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

available trading power
CNN-LSTM
digital twins
IoT platform
micro-energy grid

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10.1109/ECCE53617.2023.10362682

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Cite this

@inproceedings{41469220ff39474292ef758843361493,

title = "Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity",

abstract = "Microgrid power autonomy and peer-to-peer trading are used exploratively in some parts of Northern Europe. Thus, a unified mathematical indicator is required to evaluate the power supply capacity of microgrids in the context of peer-to-peer trading of microgrids. This paper develops an evaluation index of redundancy power for home microgrid-available transaction power (ATP). A forward-looking data-driven model is integrated into the physical microgrid asset to forecast the multi-type power variation. The utilization of feedback design and the interactive iterative underpin the interaction between asset-twin systems in the home microgrid. Furthermore, optimal operation parameters of the home microgrid digital twin (HMDT) are leveraged to calculate ATP. The simulation and experimental results verify the effectiveness of the proposed approach.",

keywords = "available trading power, CNN-LSTM, digital twins, IoT platform, micro-energy grid",

author = "Junyan Shao and Baoze Wei and Yajuan Guan and Najmeh Bazmohammadi and Vasquez, {Juan C.} and Guerrero, {Josep M.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 ; Conference date: 29-10-2023 Through 02-11-2023",

year = "2023",

doi = "10.1109/ECCE53617.2023.10362682",

language = "English",

isbn = "979-8-3503-1645-2",

series = "IEEE Energy Conversion Congress and Exposition (ECCE)",

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booktitle = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

publisher = "IEEE",

address = "United States",

}

Shao, J , Wei, B , Guan, Y , Bazmohammadi, N , Vasquez, JC & Guerrero, JM 2023, Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity. in 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023., 10362682, IEEE, IEEE Energy Conversion Congress and Exposition (ECCE), pp. 6176-6181, 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States, 29/10/2023. https://doi.org/10.1109/ECCE53617.2023.10362682

Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity. / Shao, Junyan ; Wei, Baoze ; Guan, Yajuan et al.
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. IEEE, 2023. p. 6176-6181 10362682 (IEEE Energy Conversion Congress and Exposition (ECCE)).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AB - Microgrid power autonomy and peer-to-peer trading are used exploratively in some parts of Northern Europe. Thus, a unified mathematical indicator is required to evaluate the power supply capacity of microgrids in the context of peer-to-peer trading of microgrids. This paper develops an evaluation index of redundancy power for home microgrid-available transaction power (ATP). A forward-looking data-driven model is integrated into the physical microgrid asset to forecast the multi-type power variation. The utilization of feedback design and the interactive iterative underpin the interaction between asset-twin systems in the home microgrid. Furthermore, optimal operation parameters of the home microgrid digital twin (HMDT) are leveraged to calculate ATP. The simulation and experimental results verify the effectiveness of the proposed approach.

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ER -

Digital twin-based energy management for home microgrid: A quantification of redundant supply capacity

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Keywords

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