Abstract:In recent years, in order to achieve the carbon peaking and carbon neutral goal of electrified railway, a number of railroad energy optimization initiatives have been put into practice and achieve certain results, however, energy consumption optimization alone cures the symptoms rather than the root causes. In order to cure the carbon emission problem of the electrified railway, it is necessary to realize the energy saving and emission reduction of the electrified railroad and the efficient use of new energy from both the source and the terminal of the whole life cycle of its electric energy. Therefore, under the premise of ensuring the stable operation of the system, the energy management strategy of the traction power supply system was proposed based on the concept of the smart grid, taking into account the access of photovoltaic and energy storage. Based on the operation principle of traditional traction power supply system, built a traction power supply system with PV and energy storage access, and designed a corresponding energy management strategy for it, which was divided into three layers: day-ahead regulation, intra-day regulation and real-time control. Day-ahead regulation reduced the system power purchase cost by comparing the external grid and photovoltaic tariffs in the power market over time and choosing the low price to purchase power directly, and used energy storage devices to recover braking energy, stored electricity at low tariffs and released it at high tariffs to siphon off profits. Through the shared energy storage mode, the PV and traction side energy storage devices were combined into one, reducing the idle rate of the energy storage devices and the construction costs of the system. Intra-day regulation analyzed the static voltage stability and three-phase voltage unbalance of the system based on the planned power output of each "source", and adjusted the power output of each "source" to optimize the system performance. Real-time control was based on intra-day regulation with fine-grained regulation as quickly as 1 s, by switching and combining the system working modes, the system energy supply structure was changed and the system operating conditions were quickly adjusted. And an emergency power supply plan was formulated to ensure the stable operation of the locomotive in case of an accident in the external network power supply. Through hierarchical optimization, the relatively independent barriers of each source were broken and multi-energy complementarity was realized. The following conclusions can be drawn from the cases study: (1) The system is used during the day-ahead regulation to purchase energy through the power market's power bidding time-sharing, and the shared energy storage device is used to reduce system construction costs and effectively improve the economic efficiency of system operation. (2) Through intra-day regulation, the system solves the problem of static voltage stability degradation and three-phase voltage unbalance overload caused by photoelectric access to the system, and improves system operation stability. (3) The system quickly adjusts the power output status of each "source" end of the system through real-time control, and can provide emergency energy for locomotives in case of system power supply accidents, improving system operation safety.
高锋阳, 宋志翔, 高建宁, 高翾宇, 杨凯文. 计及光伏和储能接入的牵引供电系统能量管理策略[J]. 电工技术学报, 2024, 39(3): 745-757.
Gao Fengyang, Song Zhixiang, Gao Jianning, Gao Xuanyu, Yang Kaiwen. Energy Management Strategies for Traction Power Systems with PV and Energy Storage Access. Transactions of China Electrotechnical Society, 2024, 39(3): 745-757.
[1] 国家铁路局. 2020年铁道统计公报[Z]. 2021-04-19. [2] Şengör İ, Kılıçkıran H C, Akdemir H, et al.Energy management of a smart railway station considering regenerative braking and stochastic behaviour of ESS and PV generation[J]. IEEE Transactions on Sustainable Energy, 2018, 9(3): 1041-1050. [3] 罗嘉明, 韦晓广, 高仕斌, 等. 高速铁路储能系统容量配置与能量管理技术综述与展望[J]. 中国电机工程学报, 2022, 42(19): 7028-7051. Luo Jiaming, Wei Xiaoguang, Gao Shibin, et al.Summary and outlook of capacity configuration and energy management technology of high-speed railway energy storage system[J]. Proceedings of the CSEE, 2022, 42(19): 7028-7051. [4] 魏文婧. 高速铁路再生制动能量存储与利用控制策略研究[D]. 成都: 西南交通大学, 2019. Wei Wenjing.Research on energy storage scheme and its control strategy for regenerative energy recycling of high-speed railway[D]. Chengdu: Southwest Jiaotong University, 2019. [5] 李明林. 电气化铁路再生制动能量利用系统研究[D]. 成都: 西南交通大学, 2020. Li Minglin.Research on regenerative breaking energy utilization system of electrified railway[D]. Chengdu: Southwest Jiaotong University, 2020. [6] Khayyam S, Ponci F, Goikoetxea J, et al.Railway energy management system: centralized-decentralized automation architecture[J]. IEEE Transactions on Smart Grid, 2016, 7(2): 1164-1175. [7] Razik L, Berr N, Khayyam S, et al.REM-S-railway energy management in real rail operation[J]. IEEE Transactions on Vehicular Technology, 2019, 68(2): 1266-1277. [8] 耿安琪, 胡海涛, 张育维, 等. 基于阶梯能量管理的电气化铁路混合储能系统控制策略[J]. 电工技术学报, 2021, 36(23): 4916-4925. Geng Anqi, Hu Haitao, Zhang Yuwei, et al.Control strategy of hybrid energy storage system for electrified railway based on increment energy management[J]. Transactions of China Electrotechnical Society, 2021, 36(23): 4916-4925. [9] 胡海涛, 陈俊宇, 葛银波, 等. 高速铁路再生制动能量储存与利用技术研究[J]. 中国电机工程学报, 2020, 40(1): 246-256, 391. Hu Haitao, Chen Junyu, Ge Yinbo, et al.Research on regenerative braking energy storage and utilization technology for high-speed railways[J]. Proceedings of the CSEE, 2020, 40(1): 246-256, 391. [10] 邓文丽, 戴朝华, 陈维荣. 轨道交通能源互联网背景下光伏在交/直流牵引供电系统中的应用及关键问题分析[J]. 中国电机工程学报, 2019, 39(19): 5692-5702, 5897. Deng Wenli, Dai Chaohua, Chen Weirong.Application of PV generation in AC/DC traction power supply system and the key problem analysis under the background of rail transit energy Internet[J]. Proceedings of the CSEE, 2019, 39(19): 5692-5702, 5897. [11] 邓文丽, 戴朝华, 张涵博, 等. 复杂电气化铁路牵引用光伏发电系统综合优化控制方法研究[J]. 中国电机工程学报, 2020, 40(18): 5849-5865. Deng Wenli, Dai Chaohua, Zhang Hanbo, et al.Research on comprehensive optimization control method for traction photovoltaic generation system of complex electrified railway[J]. Proceedings of the CSEE, 2020, 40(18): 5849-5865. [12] 胡海涛, 葛银波, 黄毅, 等. 电气化铁路“源-网-车-储”一体化供电技术[J]. 中国电机工程学报, 2022, 42(12): 4374-4391. Hu Haitao, Ge Yinbo, Huang Yi, et al.“source-network-train-storage” integrated power supply system for electric railways[J]. Proceedings of the CSEE, 2022, 42(12): 4374-4391. [13] 陈启鑫, 王克道, 陈思捷, 等. 面向分布式主体的可交易能源系统: 体系架构、机制设计与关键技术[J]. 电力系统自动化, 2018, 42(3): 1-7, 31. Chen Qixin, Wang Kedao, Chen Sijie, et al.Transactive energy system for distributed agents: architecture, mechanism design and key technologies[J]. Automation of Electric Power Systems, 2018, 42(3): 1-7, 31. [14] 林新, 徐宏, 朱策, 等. 电力市场合规管理建设探究[J]. 电网技术, 2022, 46(1): 28-38. Lin Xin, Xu Hong, Zhu Ce, et al.Construction of compliance management in electricity market[J]. Power System Technology, 2022, 46(1): 28-38. [15] 徐韵, 颜湘武, 李若瑾, 等. 电力市场环境下含“源-网-荷-储”互动的主动配电网有功/无功联合优化[J]. 电网技术, 2019, 43(10): 3778-3789. Xu Yun, Yan Xiangwu, Li Ruojin, et al.Joint optimization of active and reactive powers in active distribution network with “generation-grid-load-energy storage” interaction in power market environment[J]. Power System Technology, 2019, 43(10): 3778-3789. [16] Zhou Xun, James G, Liebman A, et al.Partial carbon permits allocation of potential emission trading scheme in Australian electricity market[J]. IEEE Transactions on Power Systems, 2010, 25(1): 543-553. [17] 江苏省铁路集团有限公司. 高铁公司开展直购电联合招标持续推进用电精细化管理[Z].2019-11-01. [18] 邱伟强, 王茂春, 林振智, 等. “双碳”目标下面向新能源消纳场景的共享储能综合评价[J]. 电力自动化设备, 2021, 41(10): 244-255. Qiu Weiqiang, Wang Maochun, Lin Zhenzhi, et al.Comprehensive evaluation of shared energy storage towards new energy accommodation scenario under targets of carbon emission peak and carbon neutrality[J]. Electric Power Automation Equipment, 2021, 41(10): 244-255. [19] 李咸善, 方子健, 李飞, 等. 含多微电网租赁共享储能的配电网博弈优化调度[J]. 中国电机工程学报, 2022, 42(18): 6611-6625. Li Xianshan, Fang Zijian, Li Fei, et al.Game-based optimal dispatching strategy for distribution network with multiple microgrids leasing shared energy storage[J]. Proceedings of the CSEE, 2022, 42(18): 6611-6625. [20] 马昱欣, 胡泽春, 刁锐. 新能源场站共享储能提供调频服务的日前优化策略[J]. 电网技术, 2022, 46(10): 3857-3868. Ma Yuxin, Hu Zechun, Diao Rui.Day-ahead optimization strategy for shared energy storage of renewable energy power stations to provide frequency regulation service[J]. Power System Technology, 2022, 46(10): 3857-3868. [21] Fleischhacker A, Auer H, Lettner G, et al.Sharing solar PV and energy storage in apartment buildings: resource allocation and pricing[J]. IEEE Transactions on Smart Grid, 2018, 10(4): 3963-3973. [22] 刘静琨, 张宁, 康重庆. 电力系统云储能研究框架与基础模型[J]. 中国电机工程学报, 2017, 37(12): 3361-3371, 3663. Liu Jingkun, Zhang Ning, Kang Chongqing.Research framework and basic models for cloud energy storage in power system[J]. Proceedings of the CSEE, 2017, 37(12): 3361-3371, 3663. [23] Zhu Hailing, Ouahada K.A distributed real-time control algorithm for energy storage sharing[J]. Energy and Buildings, 2021, 230: 110478. [24] 李勇, 姚天宇, 乔学博, 等. 基于联合时序场景和源网荷协同的分布式光伏与储能优化配置[J]. 电工技术学报, 2022, 37(13): 3289-3303. Li Yong, Yao Tianyu, Qiao Xuebo, et al.Optimal configuration of distributed photovoltaic and energy storage system based on joint sequential scenario and source-network-load coordination[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3289-3303. [25] 郭慧, 汪飞, 顾永文, 等. 基于电压分层控制的直流微电网及其储能扩容单元功率协调控制策略[J]. 电工技术学报, 2022, 37(12): 3117-3131. Guo Hui, Wang Fei, Gu Yongwen, et al.Coordinated power control strategy for DC microgrid and storage expansion unit based on voltage hierarchical control[J]. Transactions of China Electrotechnical Society, 2022, 37(12): 3117-3131. [26] 中国能源研究会, 中关村储能产业技术联盟, 中国科学院工程热物理所, 等. 储能产业研究白皮书2021[Z].2021-04-14. [27] Meegahapola L, Flynn D.Impact on transient and frequency stability for a power system at very high wind penetration[C]//IEEE PES General Meeting, Minneapolis, MN, USA, 2010: 1-8. [28] 姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37(7): 1820-1835. Jiang Yunpeng, Ren Zhouyang, Li Qiuyan, et al.An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1820-1835. [29] 国家发展改革委. 国家发展改革委关于2021年新能源上网电价政策有关事项的通知[Z].2021-06-11. [30] 浙江省发改委. 省发展改革委关于进一步完善我省分时电价政策有关事项的通知[Z].2021-09-26. [31] 齐洪峰. 飞轮储能与轨道交通系统技术融合发展现状[J]. 电源技术, 2022, 46(2): 137-140. Qi Hongfeng.Progress of technology integration between flywheel energy storage and rail transportation system[J]. Chinese Journal of Power Sources, 2022, 46(2): 137-140. [32] 甘肃省发展和改革委员会. 关于“十四五”第一批风电、光伏发电项目开发建设有关事项的通知[Z].2021-05-28. [33] 河南省发改委. 河南省“十四五”新型储能实施方案的通知[Z].2022-08-21. [34] 刘运鑫, 姚良忠, 廖思阳, 等. 光伏渗透率对电力系统静态电压稳定性影响研究[J]. 中国电机工程学报, 2022, 42(15): 5484-5497. Liu Yunxin, Yao Liangzhong, Liao Siyang, et al.Study on the impact of photovoltaic penetration on power system static voltage stability[J]. Proceedings of the CSEE, 2022, 42(15): 5484-5497. [35] 国家电网公司. 电力系统无功补偿配置技术原则: Q/GDW 212—2008[S]. 北京: 国家电网公司, 2008.