Multiobjective Coordinated Operation for Multienergy Hubs: A Bargaining Game Approach

The energy hub (EH) is an essential part of the energy conversion supply process, which integrates multienergy forms to improve energy efficiency effectively. A multiobjective optimization model, including exergy loss and operation cost, is established to balance the efficiency of energy utilization and cost. Due to EH and users being connected by a thermal network, a thermal network model that considers the time delay and loss is established. An interaction framework based on the bargaining game theory is proposed to realize the coordination between EHs and heat station (HS). Furthermore, models, such as thermal exergy, thermal network, and bargaining game goal, are linearized. It dramatically reduces the computational cost and can easily be solved by Cplex or Gurobi. Finally, numerical studies with three EHs and one HS demonstrate the effectiveness of the proposed method. In the case study, the overall cost of EH and HS can be reduced by 2.60% through the interaction of electric power, thermal power, and exergy loss.