Abstract：The ground hybrid energy storage system (HESS) can effectively improve the utilization of regenerative braking energy in the traction power supply system of urban rail transit. In this paper, based on the traditional double closed-loop control strategy, the adaptive adjustment strategy of charge and discharge threshold based on fuzzy logic control (FLC) was proposed. The proposed strategy can solve the problem of the poor regenerative braking energy recovery effect in the energy storage system caused by the fluctuation of no-load voltage and the change of headway under the traditional fixed threshold strategy. In addition, according to the differences in power density, energy density and price between batteries and supercapacitors, this paper proposed a HESS sizing strategy considering energy saving rate to optimize the comprehensive economic benefits. The objective function of sizing including battery/supercapacitor life cycle cost and substation power consumption cost was then established. Taking the actual line conditions of Beijing Batong Line as a case, the parallel genetic algorithm (GA) was used to optimize the objective, and the influence of the energy saving rate constraints on sizing results was analyzed. Meanwhile, the proposed adaptive adjustment strategy of charge and discharge threshold was verified by simulation and a 1MW hybrid energy storage prototype at Liyuan Station of Beijing Batong Line.
刘宇嫣, 杨中平, 林飞, 方晓春, 孙湖. 城轨地面式混合储能系统自适应能量管理与容量优化配置研究[J]. 电工技术学报, 2021, 36(23): 4874-4884.
Liu Yuyan, Yang Zhongping, Lin Fei, Fang Xiaochun, Sun Hu. Study on Adaptive Energy Management and Optimal Capacity Configuration of Urban Rail Ground Hybrid Energy Storage System. Transactions of China Electrotechnical Society, 2021, 36(23): 4874-4884.
[1] 戴华明, 李照星, 宋杰. 北京市城市轨道交通能耗现状及节能措施建议[J]. 铁路技术创新, 2016, 1(4): 77-80. Dai Huaming, Li Zhaoxing, Song Jie.Present situation of energy consumption and suggestions on energy saving measures of urban rail transit in Beijing[J]. Railway Technical Innovation, 2016, 1(4): 77-80. [2] Meishner F, Sauer D.Wayside energy recovery systems in DC urban railway grids[J]. eTransportation, 2019, 1(C): 1-17. [3] Grbovic P J, Delarue P, Moigne P L, et al.Modeling and control of the ultracapacitor-based regenerative controlled electric drives[J]. IEEE Transactions on Industrial Electronics, 2011, 58(8): 3471-3484. [4] Castaings A, Caron H, Kharrat H, et al.Energy storage system based on supercapacitors for a 750V DC railway power supply[C]//IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles; Inter- national Transportation Electrification Conference, Nottingham, UK, 2018: 1-5. [5] 夏欢, 杨中平, 杨志鸿, 等. 基于列车运行状态的城轨超级电容储能装置控制策略[J]. 电工技术学报, 2017, 32(21): 20-27. Xia Huan, Yang Zhongping, Yang Zhihong, et al.Control strategy of supercapacitor energy storage system for urban rail transit based on operating status of trains[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 20-27. [6] Wang Junxing, Yang Zhongping, Lin Fei, et al.Thresholds modification strategy of wayside super- capacitor storage considering DC substation charac- teristics[C]//IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, Japan, 2016: 2076-2081. [7] Zhu Feiqin, Yang Zhongping, Lin Fei, et al.Dynamic threshold adjustment strategy of supercapacitor energy storage system based on no-load voltage identification in urban rail transit[C]//2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, Seogwipo, Korea, 2019: 1-6. [8] 诸斐琴, 杨中平, 林飞,等. 城轨交通牵引供电系统参数与储能系统容量配置综合优化[J]. 电工技术学报, 2019, 34(3): 579-588. Zhu Feiqin, Yang Zhongping, Lin Fei, et al.Synthetic optimization of traction power parameters and energy[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 579-588. [9] Iannuzzi D, Lauria D, Tricoli P.Optimal design of stationary supercapacitors storage devices for light electrical transportation systems[J]. Optimization and Engineering, 2012, 13(4): 689-704. [10] Calderaro V, Galdi V, Graber G, et al.Optimal siting and sizing of stationary supercapacitors in a metro network using PSO[C]//2015 IEEE International Conference on Industrial Technology, Seville, Spain, 2015: 2680-2685. [11] Xia Huan, Chen Huaixin, Yang Zhongping, et al.Optimal energy management, location and size for stationary energy storage system in a metro line based on genetic algorithm[J]. Energies, 2015, 8(10): 11618-11640. [12] 秦强强, 郭婷婷, 林飞, 等. 基于能量转移的城轨交通电池储能系统能量管理和容量配置优化[J]. 电工技术学报, 2019, 34(增刊1): 414-423. Qin Qiangqiang, Guo Tingting, Lin Fei, et al.Optimal research for energy management and configuration of battery ESS in urban rail transit based on energy transfer[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 414-423. [13] Park J Y, Heo J H, Shin S, et al.Economic evaluation of ESS in urban railway substation for peak load shaving based on net present value[J]. Journal of Electrical Engineering & Technology, 2017, 12(2): 981-987. [14] Park J Y, Jung H, Kim H, et al.Capacity deter- mination of ESS for peak load shaving based on the actual measurement of loads in the substation of urban railway[J]. Transactions of the Korean Institute of Electrical Engineers, 2014, 63(6): 860-865. [15] 沈小军, 曹戈. 城轨交通制动能量回收超级电容储能阵列配置方法对比分析[J]. 电工技术学报, 2020, 35(23): 4988-4997. Shen Xiaojun, Cao Ge.Comparative analysis on configuration methods of supercapacitor array for braking energy recovery of urban rail transit[J]. Transactions of China Electrotechnical Society, 2020, 35(23): 4988-4997. [16] 陈怀鑫, 杨中平, 林飞, 等. 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[J]. 铁道学报, 2019, 41(9): 59-66. Chen Huaixin, Yang Zhongping, Lin Fei, et al.Management and configuration for stationary super- capacitor energy storage system applied in urban rail transit based on genetic algorithm[J]. Journal of the China Railway Society, 2019, 41(9): 59-66. [17] 王彬, 杨中平, 林飞, 等. 基于节能稳压的地面式式超级电容储能系统容量配置优化研究[J]. 铁道学报, 2016, 38(6): 45-52. Wang Bin, Yang Zhongping, Lin Fei, et al.Study on optimization of capacity configuration of stationary supercapacitor storage system for improving energy efficiency and voltage profile[J]. Journal of the China Railway Society, 2016, 38(6): 45-52. [18] 陈亚爱, 林演康, 王赛, 等. 基于滤波分配法的混合储能优化控制策略[J]. 电工技术学报, 2020, 35(19): 4009-4018. Chen Yaai, Lin Yankang, Wang Sai, et al.Optimal control strategy of hybrid energy storage based on filter allocation method[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4009-4018. [19] 杨浩丰, 刘冲, 李彬, 等. 基于列车运行工况的城轨地面式混合储能系统控制策略研究[J]. 电工技术学报, 2021, 36(增刊1): 168-178. Yang Haofeng, Liu Chong, Li Bin, et al.Research on control strategy of urban rail ground hybrid energy storage device based on train operating condition[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 168-178. [20] Andoni S, Victor I, Aitor M, et al.Management strategy for market participation of photovoltaic power plants including storage systems[J]. IEEE Transactions on Industry Applications, 2016, 52(5): 4292-4303. [21] Shen Junyi, Dusmez S, Khaligh A.Optimization of sizing and battery cycle life in battery/ultracapacitor hybrid energy storage systems for electric vehicle applications[J]. Industrial Informatics IEEE Transa- ctions on, 2014, 10(4): 2112-2121. [22] Zhang Lei, Hu Xiaosong, Wang Zhenpo, et al.Multiobjective optimal sizing of hybrid energy storage system for electric vehicles[J]. IEEE Transa-ctions on Vehicular Technology, 2018, 67(2): 1027-1035. [23] Liu Y Y. Wang Shaowen.A scalable parallel genetic algorithm for the generalized assignment problem[J]. Parallel Computing, 2015, 46(1): 98-119.
2021, Vol. 36 
