TY - GEN
T1 - Distributed energy management of P2P energy sharing in energy internet based on cloud energy storage
AU - Zhou, Yanglin
AU - Ci, Song
AU - Lin, Ni
AU - Li, Hongjia
AU - Yang, Yang
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/12
Y1 - 2018/6/12
N2 - Cloud energy storage (CES) has recently been proposed as one of the most economic saving techniques for peer-to-peer (P2P) energy sharing and coordination in energy internet. By transforming traditional consumers into self-sufficient customers and utility customers, CES enables transactions between customers and utility company, as well as among customers. In this paper, an architecture and operational technology which support P2P energy transactions are suggested based on the case of CES. With the aim of shared and virtually integrated CES among individual customers, a distributed algorithm is proposed to achieve higher renewable energy penetration and economic saving, in combination with alternating direction method of multipliers (ADMM). On the basis of a real-world dataset of renewable energy and real-time electricity price, numerical results show the effectiveness of the proposed framework in terms of economic saving for a long time application.
AB - Cloud energy storage (CES) has recently been proposed as one of the most economic saving techniques for peer-to-peer (P2P) energy sharing and coordination in energy internet. By transforming traditional consumers into self-sufficient customers and utility customers, CES enables transactions between customers and utility company, as well as among customers. In this paper, an architecture and operational technology which support P2P energy transactions are suggested based on the case of CES. With the aim of shared and virtually integrated CES among individual customers, a distributed algorithm is proposed to achieve higher renewable energy penetration and economic saving, in combination with alternating direction method of multipliers (ADMM). On the basis of a real-world dataset of renewable energy and real-time electricity price, numerical results show the effectiveness of the proposed framework in terms of economic saving for a long time application.
KW - ADMM
KW - Distributed energy resource management
KW - P2P energy sharing
UR - http://www.scopus.com/inward/record.url?scp=85050252400&partnerID=8YFLogxK
U2 - 10.1145/3208903.3208906
DO - 10.1145/3208903.3208906
M3 - Conference contribution
AN - SCOPUS:85050252400
T3 - e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems
SP - 173
EP - 177
BT - e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems
PB - Association for Computing Machinery, Inc
T2 - 9th ACM International Conference on Future Energy Systems, e-Energy 2018
Y2 - 12 June 2018 through 15 June 2018
ER -
