TY - JOUR
T1 - Cooperative Economic Scheduling for Multiple Energy Hubs
T2 - A Bargaining Game Theoretic Perspective
AU - Fan, Songli
AU - Li, Zhengshuo
AU - Wang, Jianhui
AU - Piao, Longjian
AU - Ai, Qian
PY - 2018
Y1 - 2018
N2 - Under the background of global energy conservation, the energy hub (EH)-based integrated energy system is becoming the transition direction of future energy structure. In this paper, we study the cooperative economic scheduling problem for multiple neighboring integrated energy systems on the basis of EH. Different with the traditional non-cooperative mode where each EH operates individually, these EHs constitute a cooperative community and can share energy among them. Considering the autonomy and selfinterest of different EHs, the coordinated management problem is modeled as a bargaining cooperative game, where involved EHs will bargain with each other about the exchanged energy and the associated payments. The bargaining solution can achieve a fair and Pareto-optimal balance among the objective functions of different EHs. A distributed optimization is applied to find the bargaining solution of the cooperative system, to guarantee the autonomous scheduling and information privacy of EHs. Numerical studies demonstrate the effectiveness of the bargaining-based cooperative economic scheduling framework, and also show the improvement of benefits of the community system.
AB - Under the background of global energy conservation, the energy hub (EH)-based integrated energy system is becoming the transition direction of future energy structure. In this paper, we study the cooperative economic scheduling problem for multiple neighboring integrated energy systems on the basis of EH. Different with the traditional non-cooperative mode where each EH operates individually, these EHs constitute a cooperative community and can share energy among them. Considering the autonomy and selfinterest of different EHs, the coordinated management problem is modeled as a bargaining cooperative game, where involved EHs will bargain with each other about the exchanged energy and the associated payments. The bargaining solution can achieve a fair and Pareto-optimal balance among the objective functions of different EHs. A distributed optimization is applied to find the bargaining solution of the cooperative system, to guarantee the autonomous scheduling and information privacy of EHs. Numerical studies demonstrate the effectiveness of the bargaining-based cooperative economic scheduling framework, and also show the improvement of benefits of the community system.
KW - Cooperative game
KW - distributed approach
KW - energy hub
KW - energy trading
KW - multiple energy system
KW - Nash bargaining
UR - http://resolver.tudelft.nl/uuid:9ecbacfc-1675-4e72-8d59-9049668b016f
UR - http://www.scopus.com/inward/record.url?scp=85047215032&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2839108
DO - 10.1109/ACCESS.2018.2839108
M3 - Article
SN - 2169-3536
VL - 6
SP - 27777
EP - 27789
JO - IEEE Access
JF - IEEE Access
ER -