基于配置与能量管理协同的铁路光储系统经济性提升策略  

Economic enhancement strategy for railway photovoltaic energy storage system based on collaborative configuration and energy management

作　　者：吴磊 舒洋浩 周斌彬 张凌云 戴朝华[2] WU Lei;SHU Yanghao;ZHOU Binbin;ZHANG Lingyun;DAI Chaohua(China Academy of Railway Sciences Group Co.,Ltd.,Beijing 100080,China;School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China;Academy of Railway Sciences(Beijing)Engineering Consult Co.,Ltd.,Beijing 100081,China)

机构地区：[1]中国铁道科学研究院集团有限公司,北京100080 [2]西南交通大学电气工程学院,四川成都611756 [3]铁科院(北京)工程咨询有限公司,北京100081

出　　处：《铁道科学与工程学报》2024年第11期4711-4723,共13页Journal of Railway Science and Engineering

基　　金：北京市自然科学基金资助项目(L221002);中国铁道科学研究院集团有限公司基金资助项目(2022YJ037);铁科院(北京)工程咨询有限公司基金资助项目(2023ZXJ003)。

摘　　要：光伏储能接入牵引供电系统(Traction Power Supply System,TPSS)为铁路节能减排、节支降耗提供了解决方案,但储能系统的成本及其运行经济性制约了其在铁路牵引供电领域的大规模应用。铁路光伏储能系统的容量配置方案决定其投资成本和经济效益,储能能量管理策略影响其最大需量削减效果和再生制动能量利用率,进而影响牵引变电所电费支出。因此,为实现铁路光伏储能系统的经济性提升,首先提出一种自适应多阈值能量管理策略:基于行车运行图将日牵引负荷分成高需量时段和其他时段,不同时段储能系统设定不同的充放电启动阈值优化储能出力,以兼顾牵引负荷最大需量削减和再生制动能量利用率,并采用模糊逻辑控制(Fuzzy Logic Control,FLC)自适应调整储能放电阈值,以延长储能使用寿命。然后,建立光伏储能接入铁路牵引供电系统配置与能量管理协同优化模型,以系统全寿命周期净收益和内部收益率为优化目标,对储能系统进行容量配置。最后,基于某牵引变电所的实测数据采用NSGA-Ⅱ算法进行求解,并与固定阈值能量管理策略进行运行效果对比。结果表明所提方法更能够适应牵引负荷大功率和高能量密度的特点,可以兼顾再生制动能量利用率和最大需量削减,最优配置下的净收益为1364.1万元,内部收益率达14.60%,投资回收期为6年。The integration of photovoltaic energy storage system into the traction power supply system can provide a solution for railway energy conservation,emission reduction,cost saving,and consumption reduction.However,the cost and operational economy of the energy storage system will restrict its large-scale application in the field of railway traction power supply.The capacity configuration scheme of railway photovoltaic energy storage system determines its investment cost and economic benefits.The energy storage management strategy affects its maximum demand reduction effect and regenerative braking energy utilization rate,which in turn affects the electricity expenditure of traction substations.Therefore,in order to improve the economic efficiency of railway photovoltaic energy storage systems,an adaptive multi-threshold energy management strategy was first proposed.Based on the train timetables,the daily traction load was divided into high demand periods and other periods.And different charging and discharging start-up thresholds were set for the energy storage system in different periods to balance the maximum traction load demand reduction and regenerative braking energy utilization rate.Fuzzy Logic Control was used to adaptively adjust the energy storage and discharging threshold to extend the service life of the energy storage.Then,a collaborative optimization model was constructed for the configuration and energy management of photovoltaic energy storage connected to railway traction power supply system with the optimization goals of net profit and internal return rate throughout the system’s entire life cycle,and the capacity of the energy storage system was configured.Finally,based on the measured data of a certain traction substation,the NSGA-II algorithm was used to solve the problem,and the economic performance was compared with the capacity configuration scheme of a fixed threshold energy management strategy.The results are drawn.The proposed method is more suitable for the characteristics of high powe

关 键 词：牵引供电系统 光伏储能 自适应多阈值 配置与能量管理协同 经济性提升 

分 类 号：V221.3[航空宇航科学与技术—飞行器设计]