Cooperative Economic Scheduling for Multiple Energy Hubs
A Bargaining Game Theoretic Perspective
Songli Fan (Shanghai Jiao Tong University)
Zhengshuo Li (Tsinghua University)
Jianhui Wang (Southern Methodist University)
Longjian Piao (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Qian Ai (Shanghai Jiao Tong University)
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Abstract
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.