TY - JOUR
T1 - Privacy preserving renewable energy trading system for residential communities
AU - Deng, Runze
AU - Luo, Fengji
AU - Yang, Jiajia
AU - Huang, Da-Wen
AU - Ranzi, Gianluca
AU - Dong, Zhao Yang
PY - 2022/11
Y1 - 2022/11
N2 - This paper proposes a new trading framework for enabling energy trading between end energy customers and a small-capacity Renewable Energy Plant (REP) in urban environments. To relieve the communication burden incurred by a large number of end customers who submit bids to purchase energy from the REP, the energy trading process is designed on a community basis. The end customers are grouped into multiple communities. With this approach, the proposed energy trading system coordinates the REP, the community energy management system in each community, and the local energy management system of each customer. The homomorphic encryption technology is integrated into the energy trading framework to enable the energy trading to be performed and settled without exposing individual customer's bidding energy purchase price and amount values. Extensive numerical simulations are conducted to validate the effectiveness of the proposed system. © 2022 Elsevier Ltd.
AB - This paper proposes a new trading framework for enabling energy trading between end energy customers and a small-capacity Renewable Energy Plant (REP) in urban environments. To relieve the communication burden incurred by a large number of end customers who submit bids to purchase energy from the REP, the energy trading process is designed on a community basis. The end customers are grouped into multiple communities. With this approach, the proposed energy trading system coordinates the REP, the community energy management system in each community, and the local energy management system of each customer. The homomorphic encryption technology is integrated into the energy trading framework to enable the energy trading to be performed and settled without exposing individual customer's bidding energy purchase price and amount values. Extensive numerical simulations are conducted to validate the effectiveness of the proposed system. © 2022 Elsevier Ltd.
KW - Demand side management
KW - Distributed energy trading
KW - Homomorphic encryption
KW - Smart grid
UR - http://www.scopus.com/inward/record.url?scp=85131140899&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85131140899&origin=recordpage
U2 - 10.1016/j.ijepes.2022.108367
DO - 10.1016/j.ijepes.2022.108367
M3 - RGC 21 - Publication in refereed journal
SN - 0142-0615
VL - 142
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
IS - Part B
M1 - 108367
ER -
