【摘要】 地铁运行的主要成本是电能消耗,如何降低地铁运行能耗是建设绿色城市的重要课题.本文从列车运行时再生制动产生回馈电网能量出发,建立采用再生制动的地铁列车运行能耗模型.进而,将地铁运行节能问题转化为地铁列车时刻表优化问题,并引入列车运行约束和混合逻辑动态模型约束将该问题建模为一个非线性混合整数规划问题.本文设计了分解协调优化算法,以列车停站时间和发车时间间隔作为优化操作变量进行优化.从仿真结果可知,以不同的操纵变量进行优化均能有效提高再生制动能量利用率,且分解协调算法的求解结果优于传统的模拟退火算法.更多还原

【Abstract】 The subway-based urban transit has been used widely because it can alleviate the serious problem of urban traffic congestion effectively.Electric energy consumption contributes the most part of its cost.So it is necessary to reduce the energy consumption of subway operation so as to build an environment friendly city.Aiming at this problem,energy consumption model with utilization of regenerative braking energy can be built.Then,combining energy consumption model,train operation constraints and mixed logic dynamic model constraints,the optimization problem is transformed into a nonlinear mixed integer program problem.Heuristic algorithm is used widely to solve this kind of problem.However,this thesis has designed a decomposition and coordination algorithm to get a better solution.The succession time and station dwell act as manipulated variables and both of them can improve regenerative braking energy utilization rate effectively.Compared with the solution of annealing algorithm,decomposition and coordination algorithm should be better.更多还原