Operation Optimization for Wind Farm and Hydrogen Fueling Stations via Energy Trading

Abstract

Using renewable energy, e.g., wind farm (WF), to generate hydrogen by electrolysis of water is capable of satisfying the requirement of low carbon or zero carbon emission. In addition, the on-site hydrogen generation and storage of hydrogen for hydrogen refueling stations (HFSs) is currently the most economical hydrogen production solution. Conventional studies usually ignore the independent entity of WT and HFSs and regard them as one entity for joint operation optimization. In this paper, a cooperative operation model of WF and HFSs based on cooperative game is established, and a benefit sharing method based on the contribution degree of energy trading in cooperation is proposed, which overcomes the shortcoming of too high computational complexity of Shapley value allocation when the scale of HFSs is large. Simulation results shows that the cooperation can greatly reduce the cost of HFSs and improve the operation benefit of WT. In addition, compared with the Shapley value method, the proposed it accelerates the calculation speed and improves the enthusiasm of energy interaction between players. In addition, compared with the Shapley value method, the proposed benefit allocation method accelerates the calculation speed and improves the enthusiasm of energy interaction between players.