TY - GEN
T1 - Optimal energy exchange schemes in smart grid networks
T2 - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
AU - Zhang, Ke
AU - Mao, Yuming
AU - Leng, Supeng
AU - Zeng, Ming
AU - Xu, Liang
AU - Jiang, Li
AU - Vinel, Alexey
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/21
Y1 - 2016/10/21
N2 - Vehicle-to-Grid (V2G) is a promising paradigm to alleviate energy supply and demand imbalance of the grid. To further improve the power transmission efficiency, in this paper, we propose a cloudlet-based Vehicle-to-Vehicle (V2V) energy exchange framework. In the framework, the Energy Switch Center (ESC) serves as a trading broker, which purchases electricity from discharging vehicles and then resells it to the charging ones without energy transmission on the grid. The energy trading process is modeled in a contract theoretic approach. We derive the optimal feasible contracts which maximize the profit of the ESC. Furthermore, we systematically study the practical scenario where both the charging demand and renewable energy supplement are random variables, and propose a practical optimal contract-based electricity purchase scheme. Simulation results show that the proposed scheme can efficiently increase the profit of the ESC than the other mechanisms.
AB - Vehicle-to-Grid (V2G) is a promising paradigm to alleviate energy supply and demand imbalance of the grid. To further improve the power transmission efficiency, in this paper, we propose a cloudlet-based Vehicle-to-Vehicle (V2V) energy exchange framework. In the framework, the Energy Switch Center (ESC) serves as a trading broker, which purchases electricity from discharging vehicles and then resells it to the charging ones without energy transmission on the grid. The energy trading process is modeled in a contract theoretic approach. We derive the optimal feasible contracts which maximize the profit of the ESC. Furthermore, we systematically study the practical scenario where both the charging demand and renewable energy supplement are random variables, and propose a practical optimal contract-based electricity purchase scheme. Simulation results show that the proposed scheme can efficiently increase the profit of the ESC than the other mechanisms.
UR - http://www.scopus.com/inward/record.url?scp=84997764848&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2016.7636834
DO - 10.1109/ICCChina.2016.7636834
M3 - Conference contribution
AN - SCOPUS:84997764848
T3 - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
BT - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 July 2016 through 29 July 2016
ER -
