基于粒子群算法的面向节能的单/多列车优化决策问题

Optimal Control Strategy of Train Operation Based on GMPSO

针对列车运行优化控制问题,首先对列车运行过程的受力情况进行分析,建立了列车运行模型;接着根据最优惰行点选择原则和再生制动节能的方法,确立了单列车区间运行优化模型与多列车节能运行模型;然后采用基于高斯白噪声扰动变异的粒子群算法(GMPSO)求解上述模型得出各情况下列车的最优控制策略;最后探讨了列车延迟情况下的节能调整方案.

This page analyzes the optimal control problem for train operation,Firstly,a detailed analysis of the force in train’s running is given,and the dynamics mathematical model of train is constructed After that,a single train’s optimization model and multi-trains’ energy-saving operation model were established,according to the optimal coast points selection principle and regenerative braking energy efficient method.Then,the above model was analyzed based on the Gaussian white noise disturbance mutation particle swarm optimization（GMPSO） and appropriate control strategy can be get.Finally the energy-saving adjustment solution in case of train delays was discussed.