TY - GEN
T1 - Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network
AU - Lyu, Cheng
AU - Jia, Youwei
AU - Xu, Zhao
N1 - Funding Information:
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).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
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.
KW - building community
KW - communication loss
KW - distributed optimization
KW - Peer-to-peer energy cooperation
UR - http://www.scopus.com/inward/record.url?scp=85124169555&partnerID=8YFLogxK
U2 - 10.1109/PESGM46819.2021.9638237
DO - 10.1109/PESGM46819.2021.9638237
M3 - Conference article published in proceeding or book
AN - SCOPUS:85124169555
T3 - IEEE Power and Energy Society General Meeting
BT - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
PB - IEEE Computer Society
T2 - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Y2 - 26 July 2021 through 29 July 2021
ER -