基于遗传算法的城轨交通超级电容储能装置能量管理和容量配置优化研究  

Management and Configuration for Stationary Super-capacitor Energy Storage System Applied in Urban Rail Transit Based on Genetic Algorithm

作　　者：陈怀鑫 杨中平[1] 林飞[1] 夏欢[1] 王彬[1] CHEN Huaixin;YANG Zhongping;LIN Fei;XIA Huan;WANG Bin(School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;China Railway Electrification Surrey & Research Institute, China Railway Liuyuan Group Co.,Ltd.,Tianjin 300250, China)

机构地区：[1]北京交通大学电气工程学院,北京100044 [2]中铁第六勘察设计院集团有限公司电气化设计院分公司,天津300250

出　　处：《铁道学报》2019年第9期59-66,共8页Journal of the China Railway Society

摘　　要：在城轨交通供电系统中应用超级电容储能装置可以有效回收列车制动能量,抑制直流网压波动。首先建立了包含列车和超级电容储能装置的城轨交通供电系统仿真平台,且综合考虑节能电量、投资成本和电价等因素,计算超级电容储能装置的经济效率,并将其作为储能装置能量管理和容量配置优化的目标函数。提出了一种结合城市轨道交通供电系统仿真模拟平台和遗传算法的优化方法,实现储能装置能量管理控制参数和容量配置方案的同时优化。最后以某条地铁线路为例,通过仿真对比验证论文提出优化方法的有效性,使应用于城轨交通供电系统的超级电容储能装置得到最大的经济效率。The installation of super capacitor in urban rail transit power supply system can recycle train braking energy and stabilize DC network voltage. Firstly in this paper, the simulation platform of urban rail transit power supply system was established which includes trains and super capacitor energy storage systems. Then the objective function of energy management and capacity configuration optimization of energy storage systems was put forward with consideration of many factors including electricity savings, investment cost and electricity price to calculate the economic efficiency of supercapacitor energy storage system. A novel optimization method that combines simulation platform of urban rail transit power supply system and genetic algorithm was proposed, to realize simultaneous optimization of energy management control parameters and capacity configuration schemes of energy storage systems. Finally, a case study of a metro line was conducted to verify the effectiveness of the proposed optimization method through simulation comparison, to maximize the economic efficiency of the supercapacitor energy storage system.

关 键 词：超级电容 城轨交通供电系统 能量管理 容量配置 遗传算法 经济效率 

分 类 号：TM315[电气工程—电机]