Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network

Cheng LYU; Youwei JIA; Zhao XU

doi:10.1109/PESGM46819.2021.9638237

Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network

Cheng LYU, Youwei JIA, Zhao XU

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

Energy management of buildings is of vital importance for the urban low-carbon transition. This paper proposes a sustainable energy cooperation framework for the building community by communication-efficient peer-to-peer transaction. Firstly, the energy cooperation of buildings is formulated as a social welfare maximization problem, in which buildings may directly trade energy with neighbors. In addition, considering privacy concerns and communication losses arisen in peer-to-peer energy trading, a communication-failure-robust distributed algorithm is developed to achieve the optimal energy dispatch solutions. Finally, simulation results show that the proposed framework substantially reduces the total cost of the building community and the algorithm is robust to communication losses in the network when only part of links (even one link) are active during iterations.

Original language	English
Title of host publication	2021 IEEE Power & Energy Society General Meeting (PESGM 2021)
Publisher	IEEE Computer Society
Pages	206-210
Number of pages	5
ISBN (Electronic)	9781665405072
ISBN (Print)	9781665446303
DOIs	https://doi.org/10.1109/PESGM46819.2021.9638237
Publication status	Published - Jan 2022
Externally published	Yes
Event	2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: 26 Jul 2021 → 29 Jul 2021

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2021-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Country/Territory	United States
City	Washington
Period	26/07/21 → 29/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

This work was supported in part by National Natural Science Foundation of China (71971183 and 72071100), Guangdong Basic and Applied Basic Research Fund (2019A1515111173), Young Talent Program (Department of Education of Guangdong) (2018KQNCX223) and High-level University Fund (G02236002).

Keywords

building community
communication loss
distributed optimization
Peer-to-peer energy cooperation

UN SDGs

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

Access to Document

10.1109/PESGM46819.2021.9638237

Cite this

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title = "Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network",

abstract = "Energy management of buildings is of vital importance for the urban low-carbon transition. This paper proposes a sustainable energy cooperation framework for the building community by communication-efficient peer-to-peer transaction. Firstly, the energy cooperation of buildings is formulated as a social welfare maximization problem, in which buildings may directly trade energy with neighbors. In addition, considering privacy concerns and communication losses arisen in peer-to-peer energy trading, a communication-failure-robust distributed algorithm is developed to achieve the optimal energy dispatch solutions. Finally, simulation results show that the proposed framework substantially reduces the total cost of the building community and the algorithm is robust to communication losses in the network when only part of links (even one link) are active during iterations.",

keywords = "building community, communication loss, distributed optimization, Peer-to-peer energy cooperation",

author = "Cheng LYU and Youwei JIA and Zhao XU",

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year = "2022",

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doi = "10.1109/PESGM46819.2021.9638237",

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LYU, C, JIA, Y & XU, Z 2022, Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network. in 2021 IEEE Power & Energy Society General Meeting (PESGM 2021). IEEE Power and Energy Society General Meeting, vol. 2021-July, IEEE Computer Society, pp. 206-210, 2021 IEEE Power and Energy Society General Meeting, PESGM 2021, Washington, United States, 26/07/21. https://doi.org/10.1109/PESGM46819.2021.9638237

Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network. / LYU, Cheng; JIA, Youwei; XU, Zhao.
2021 IEEE Power & Energy Society General Meeting (PESGM 2021). IEEE Computer Society, 2022. p. 206-210 (IEEE Power and Energy Society General Meeting; Vol. 2021-July).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

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AU - LYU, Cheng

AU - JIA, Youwei

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PY - 2022/1

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N2 - Energy management of buildings is of vital importance for the urban low-carbon transition. This paper proposes a sustainable energy cooperation framework for the building community by communication-efficient peer-to-peer transaction. Firstly, the energy cooperation of buildings is formulated as a social welfare maximization problem, in which buildings may directly trade energy with neighbors. In addition, considering privacy concerns and communication losses arisen in peer-to-peer energy trading, a communication-failure-robust distributed algorithm is developed to achieve the optimal energy dispatch solutions. Finally, simulation results show that the proposed framework substantially reduces the total cost of the building community and the algorithm is robust to communication losses in the network when only part of links (even one link) are active during iterations.

AB - Energy management of buildings is of vital importance for the urban low-carbon transition. This paper proposes a sustainable energy cooperation framework for the building community by communication-efficient peer-to-peer transaction. Firstly, the energy cooperation of buildings is formulated as a social welfare maximization problem, in which buildings may directly trade energy with neighbors. In addition, considering privacy concerns and communication losses arisen in peer-to-peer energy trading, a communication-failure-robust distributed algorithm is developed to achieve the optimal energy dispatch solutions. Finally, simulation results show that the proposed framework substantially reduces the total cost of the building community and the algorithm is robust to communication losses in the network when only part of links (even one link) are active during iterations.

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KW - communication loss

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Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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Cite this