TY - GEN
T1 - Balancing Benefit Distribution for Energy Storage Sharing based on Nash Bargaining Solution
AU - Dai, Rui
AU - Charkhgard, Hadi
AU - Chen, Yang
AU - Kuang, Yanqing
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Energy storage is acknowledged to be an essential part of modern energy technologies and smart grids. Energy storage can provide energy arbitrage by charging at off-peak price and discharging at peak price. The energy arbitrage can be further amplified if allowing multiple users to share the energy storage. In order to encourage the users to participate the cooperation for sharing energy storage, we develop a Nash Bargaining model to achieve the efficiency and fairness for the energy storage sharing system. The proposed model can maintain two types of fairness, the fair payoff for exchanging stored energy and the fair distribution of cooperative benefits. The model is formulated as a multiplicative problem with bilinear constraints, and several linearization techniques such as Piecewise McCromick Relaxation are applied to facilitate solving this problem. Experimental results demonstrate that the Nash Bargaining model can simultaneously optimize the energy arbitrage and balance the distribution of the cooperative benefits for energy storage sharing. Also the adopted solution techniques are validated to be able to solve the nonlinear problem efficiently.
AB - Energy storage is acknowledged to be an essential part of modern energy technologies and smart grids. Energy storage can provide energy arbitrage by charging at off-peak price and discharging at peak price. The energy arbitrage can be further amplified if allowing multiple users to share the energy storage. In order to encourage the users to participate the cooperation for sharing energy storage, we develop a Nash Bargaining model to achieve the efficiency and fairness for the energy storage sharing system. The proposed model can maintain two types of fairness, the fair payoff for exchanging stored energy and the fair distribution of cooperative benefits. The model is formulated as a multiplicative problem with bilinear constraints, and several linearization techniques such as Piecewise McCromick Relaxation are applied to facilitate solving this problem. Experimental results demonstrate that the Nash Bargaining model can simultaneously optimize the energy arbitrage and balance the distribution of the cooperative benefits for energy storage sharing. Also the adopted solution techniques are validated to be able to solve the nonlinear problem efficiently.
KW - Nash bargaining solution
KW - energy storage
KW - energy storage sharing
KW - energy trading
KW - piecewise McCormick relaxation
UR - http://www.scopus.com/inward/record.url?scp=85079029690&partnerID=8YFLogxK
U2 - 10.1109/PESGM40551.2019.8973488
DO - 10.1109/PESGM40551.2019.8973488
M3 - Conference contribution
AN - SCOPUS:85079029690
T3 - IEEE Power and Energy Society General Meeting
BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Y2 - 4 August 2019 through 8 August 2019
ER -