考虑燃料电池汽车加氢负荷的电-氢系统协同优化运行

Synergistic Optimal Operation of Electricity-Hydrogen Systems Considering Hydrogen Refueling Loads for Fuel Cell Vehicles

在建设新型电力系统背景下,为提高能源利用率,降低交通系统碳排放,促进配电网与交通网络融合,考虑燃料电池汽车加氢行为影响下负荷时空分布特性,构建计及燃料电池汽车交通流量与加氢行为的优化调度模型。首先,采用起止点对刻画燃料电池汽车交通流量模型,为模拟燃料电池汽车出行,采用Dijkstra算法搭建燃料电池汽车最短加氢路径模型。其次,针对可再生能源出力不确定性,基于Wasserstein距离建立风电功率预测误差模糊集,考虑电力-交通网络约束,并构建含加氢站优化调度的分布鲁棒优化模型。最后,利用强对偶理论将分布鲁棒优化模型转化为混合整数线性规划模型进行求解,采用改进的33节点配电网和24节点交通网对调度方法进行验证。结果表明,所提方法相比于鲁棒优化系统总成本有所降低,加氢站调度方案在保守和乐观之间达到平衡,实现加氢站与上级网络之间良性互动。

In order to improve the energy utilization,reduce the carbon emission of transportation systems and promote the integration of integrated energy systems and transportation network in the background of building a new power system,the optimal dispatching model of traffic flow of fuel cell vehicles and hydrogen refueling behavior is constructed by considering the spatial and temporal distribution characteristics of load under the influence of hydrogen refueling behavior of fuel cell vehicles.Firstly,the origination-destination pair is used to portray the traffic flow model of fuel cell vehicles,and the Dijkstra algorithm is used to build the shortest hydrogen refueling path model for fuel cell vehicles to simulate the travel of fuel cell vehicle.Then,aiming at the uncertainties of renewable energy output,the fuzzy set of predicted errors for wind power is developed based on Wasserstein distance.And considering the constraints of power distribution networks and transportation networks,the distributionally robust optimization model considering the optimal dispatching of hydrogen refueling stations is developed.Finally,the distributionally robust optimization model is transformed into a mixed-integer linear programming model by using strong pairwise theory,and the scheduling method is validated by using the improved 33-bus distribution network and 24-bus traffic network.The results show that the total cost of the proposed method is reduced compared with the robust optimization system,and the scheduling scheme of hydrogen refueling stations achieves the balance between conservativeness and optimism,and realizes the positive interaction between hydrogen refueling stations and the higher-level network.