TY - GEN
T1 - Risky bilateral contract for distributed wind energy in smart microgrid
AU - Xiao, Yunpeng
AU - Wang, Xifan
AU - Wang, Xiuli
AU - Wu, Zechen
AU - Dang, Can
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/23
Y1 - 2016/9/23
N2 - This paper proposes a novel risky bilateral contract for trading distributed wind energy with flexible load in smart microgrid. Due to the randomness of wind energy production, wind energy can barely be traded at a pre-determined quantity. While in smart grid, load demand of electricity consumer can be easily adjusted (reduced or shifted) without decreasing its satisfaction, which can be utilized for integration of distributed wind energy. As a result, the wind power producer benefits from fewer penalties caused by less deviation between real-time traded quantity and pre-offered one. The electricity consumer, on the other hand, benefits from a decreased electricity bills without reducing its satisfaction. We take into account distributed wind energy, three categories of household appliances, and batteries. The Nash bargaining theory is used to determine the price of risky bilateral contract. Case studies are then conducted to demonstrate the efficiency of the risky bilateral contract.
AB - This paper proposes a novel risky bilateral contract for trading distributed wind energy with flexible load in smart microgrid. Due to the randomness of wind energy production, wind energy can barely be traded at a pre-determined quantity. While in smart grid, load demand of electricity consumer can be easily adjusted (reduced or shifted) without decreasing its satisfaction, which can be utilized for integration of distributed wind energy. As a result, the wind power producer benefits from fewer penalties caused by less deviation between real-time traded quantity and pre-offered one. The electricity consumer, on the other hand, benefits from a decreased electricity bills without reducing its satisfaction. We take into account distributed wind energy, three categories of household appliances, and batteries. The Nash bargaining theory is used to determine the price of risky bilateral contract. Case studies are then conducted to demonstrate the efficiency of the risky bilateral contract.
KW - Distributed wind power
KW - electricity market
KW - flexible load
KW - risky bilateral contract
UR - https://www.scopus.com/pages/publications/84990982260
U2 - 10.1109/CICED.2016.7576077
DO - 10.1109/CICED.2016.7576077
M3 - 会议稿件
AN - SCOPUS:84990982260
T3 - China International Conference on Electricity Distribution, CICED
BT - 2016 China International Conference on Electricity Distribution, CICED 2016 - Proceedings
PB - IEEE Computer Society
T2 - 2016 China International Conference on Electricity Distribution, CICED 2016
Y2 - 10 August 2016 through 13 August 2016
ER -