基于动态阈值控制策略的城轨超级电容储能系统寿命优化研究  

Research on Life Optimization of Supercapacitor Energy Storage System in Urban Rail Based on Dynamic Threshold Control Strategy

作　　者：夏欢[1] 杨中平[1] 李旭阳[1] 林飞[1] 杨志鸿[1] 

机构地区：[1]北京交通大学电气工程学院,北京100044

出　　处：《铁道学报》2016年第9期23-30,共8页Journal of the China Railway Society

基　　金：国家重点基础研究发展计划(973计划)(2011CB7111006)

摘　　要：为了更好地利用城轨超级电容储能系统的配置容量,延长超级电容使用寿命,本文提出基于超级电容电压电流的动态阈值控制策略,并对超级电容的使用寿命做了进一步优化。首先建立结合列车、储能系统的牵引供电网数学模型,分析储能系统在牵引供电网中的运行特性;然后提出改进的动态阈值控制策略,该控制策略可根据超级电容电压、电流动态调整储能装置充电阈值,从而合理分配装置的充电功率。为了进一步降低储能装置的超级电容电压、温度应力,延长超级电容寿命,提出一套基于遗传算法的动态阈值控制策略优化算法,在多列车运行工况下给出控制策略的优化模型,通过遗传算法求解模型得到控制参数的最优值。仿真结果证明所提出控制策略的有效性。In order to better utilize the configuration capacity of supercapacitor energy storage system used in urban rail system and extend the life of the supercapacitor, this paper presented a dynamic threshold control strategy based on the supercapacitor voltage and current. A further optimization was made on the service life of the supercapacitor. Firstly, the mathematical model of traction power supply network which combined trains and energy storage systems was established, to analyze the operating characteristics of the energy storage sys- tem in the traction power grid. Then the paper proposed an improved dynamic threshold control strategy, which can adjust the charge threshold based on the supercapacitor voltage and current, thus allocate the char- ging power reasonably for every device. In order to further reduce the voltage and temperature stress of the su- percapacitor, and to extend the life of the supercapacitor, the paper proposed a dynamic threshold control strategy optimization algorithm based on genetic algorithm. The optimization model of the control strategy under the condition of multiple train operation was given. The optimal values of the control parameters were obtained through the genetic algorithm. The simulation results showed the effectiveness of the proposed control strategy.

关 键 词：储能系统 超级电容 控制策略 城轨交通 优化 

分 类 号：TM922.41[电气工程—电力电子与电力传动]