基于自适应空间差分进化算法的节能优化研究

Energy-saving Optimization Based on Adaptive Space Differential Evolution Algorithm

关注储能式列车的节能优化,通过最优化方法,在改进基本差分进化算法的基础上,应用自适应空间差分进化算法,建立求解储能式列车牵引能耗最小值的最优化数学模型,分析对列车运行能耗的影响因素。通过分析列车的牵引特性的恒牵引力-恒功率-自然特性的转折点对列车运行能耗的影响,不仅可以减低列车6.6%—9.3%的运行能耗,也可以为实际运用中的牵引特性曲线的设计提供参考。

This paper focuses on the energy-saving optimization study and establishes the optimization mathematical model to solve the minimum value of traction energy consumption of the energy storage typed train.This paper analyz⁃es the influence factors of energy consumption of train operation by the adaptive space differential evolution algo⁃rithm.It analyzes the turning points of the tractive characteristics influence on train operation energy consumption,between constant traction,constant power and natural characteristic.This can not only reduce the operation energy consumption of the train by 6.6%to 9.3%,but also can provide the reference for the design of the traction character⁃istic curve in practical application.