Collaborative Optimization of Hydrogen Fuel Cell Urban Emu Operation Based on Multi-directional Differential Evolution Algorithm
To improve the operation economy of hydrogen fuel cell urban Electric Multiple Units(EMU),this paper proposes a collaborative optimization method for hydrogen fuel cell urban EMU operation based on a multi-directional differential evolution algorithm.The method focuses on the coupling effect of the operating speed profile and energy management of hydrogen fuel cell urban EMU,evaluates the comprehensive operating economy by the average daily loss value cost,optimizes the operating speed and energy management rules offline by a multi-directional differential evolutionary algorithm,and performs real-time power allocation for fuel cells and lithium batteries according to the offline optimization results.Finally,the effectiveness of the proposed method is verified under single-operation ranges and multi-operation ranges based on the hardware-in-the-loop platform.The results show that the proposed method can effectively reduce the average daily value loss of hydrogen fuel cell urban EMU,ensure convergence accuracy and maintain the lithium battery state.Moreover,in the single operating range,the average daily value loss of the proposed method in this paper is 15.21%,6.9%,and 9.51% lower than that of the pre-optimization,speed-only optimization,and energy management-only optimization methods,respectively.The average daily value loss of the proposed method in this paper is reduced by 5.07% from that of the stepwise optimization method under multiple operating ranges.
万方数据
维普
