电工技术学报
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高速铁路长大坡道混合储能系统容量优化配置
李欣1, 卢景涛1, 肖林润2, 靳忠福3
1.兰州交通大学新能源与动力工程学院 兰州 730070;
2.兰州交通大学自动化与电气工程学院 兰州 730070;
3.中铁第一勘察设计院集团有限公司 西安 710043
Capacity Optimization Configuration of Hybrid Energy Storage System for Long Steep Slope of High-Speed Railway
Li Xin1, Lu Jingtao1, Xiao Linrun2, Jin Zhongfu3
1. School of New Energy and Power Engineering Lanzhou Jiaotong University Lanzhou 730070 China;
2. School of Automatization and Electric Engineering Lanzhou Jiaotong University Lanzhou 730070 China;
3. China Railway First Survey and Design Institute Group Co. Ltd. Xi'an 710043 China
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摘要 高速铁路列车在以下坡方向经过长大坡道路段时会产生大量的再生制动能量,若将此能量合理回收利用将有利于低碳交通与节能减排、实现“3060”双碳目标、更有利于列车行车安全。针对地面式再生制动能量混合储能系统容量高效合理配置问题,本文在分析高铁长大坡道的再生制动能量实测数据的基础上,根据其功率分层的特性给出了混合储能系统的分段配置方案;考虑全域经济性能水平建立了混合储能系统容量优化模型,针对传统优化算法迭代次数高、求解效率低等问题,利用Levy飞行产生初始解并在求解过程中不断记忆更新,给出了一种基于Levy飞行的改进模拟退火算法(LESA);最后,选取西成高铁秦岭北麓长大坡道路段,鄠邑(户县东)站牵引变电所实测数据进行算例仿真,结果表明,该方法可使混合储能系统在寿命内回收大量再生制动能量,占牵引耗电量16.3 %。
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李欣
卢景涛
肖林润
靳忠福
关键词 高铁长大坡道再生制动能量混合储能系统容量优化配置改进模拟退火算法    
Abstract:High-speed railway trains will generate a large amount of regenerative braking energy and send it back to the traction network when they pass through the long ramp section, which will cause the voltage uplift of the traction network, harm the traffic safety, and even cause economic losses to the railway enterprises. If this energy is reasonably recycled, it will be beneficial to reduce the energy consumption of high-speed rail, low-carbon transportation, energy conservation and emission reduction, and achieve the ' 3060 ' dual carbon target, which is more conducive to train safety. Studies have shown that it is a good method to recover regenerative braking energy by ground hybrid energy storage system, but it needs to be reasonably configured. Aiming at this problem, this paper presents a segmented configuration scheme and capacity optimization model for hybrid energy storage system. The improved simulated annealing algorithm based on Levy flight (LESA) is used to optimize the capacity of hybrid energy storage system on long ramp of high-speed railway.
Firstly, the characteristics of regenerative braking power are analyzed from each and all day respectively. On this basis, considering the capacity requirements of the energy storage system, the energy is combined with the same type in chronological order to form the action segment, analyze the feasibility of the utilization of regenerative braking energy and determine the recovery range. Based on the above, considering the respective characteristics of different media of the hybrid energy storage system, the energy recovery method with the threshold Pth as the boundary condition is formulated, and then the segmented configuration scheme of the hybrid energy storage system is established and the economic indicators are calculated. Secondly, in the aspect of optimization algorithm, considering the disadvantage of low efficiency of traditional simulated annealing algorithm (SA), Levy flight is used to generate the initial solution, and it is constantly memorized and updated in the process of algorithm solution. An improved simulated annealing algorithm based on Levy flight (LESA) is proposed. This method can reduce the number of times to enter the Metropolis criterion, and can be closer to the optimal solution under a limited number of iterations, which improves the efficiency of the algorithm. Finally, according to the actual operation data of a long steep slope of Xi'an-Chengdu high-speed railway, two kinds of configuration schemes are analyzed.
The analysis results of regenerative braking power show that the single braking power is characterized by low power and small fluctuation. Not only that, in the analysis of the whole day conditions, the power curve has obvious stratification, and the energy of the low power section is more enriched than the high power section. In the feasibility analysis of regenerative braking energy utilization, a total of 36 braking sections and 36 traction sections were obtained. Considering the discharge demand, the first 35 times were included in the configuration calculation range. According to the actual operation data, through the given configuration scheme, optimization model and LESA algorithm, the results of optimal configuration are obtained : Scheme 1 of recovering low-power energy with battery, the daily cumulative recovery power reaches 1 1673.48 kWh ; scheme 2 of recovering low-power energy with supercapacitors has a daily cumulative recovery of 9 191.15 kWh. The configuration results obtained by the LESA algorithm are better than the 11 290.35 kWh and 9 131.24 kWh calculated by the SA algorithm.
The improved simulated annealing algorithm based on Levy flight presented in this study has better and more stable results than the traditional SA under the condition of finite number of iterations, which solves the solving efficiency problem of the original algorithm to a certain extent. After optimized configuration, the hybrid energy storage system can recover a large amount of regenerative braking energy during its life, and the recovered electricity accounts for 16.3% of the traction power consumption, which has a high recycling significance.
Key wordsHigh-speed rail long steep slope    regenerative braking energy    hybrid energy storage system    capacity optimized configuration    improved simulated annealing algorithm   
收稿日期: 2022-06-22     
PACS: TM922.3  
基金资助:国家自然科学基金(51767015)、甘肃省科技计划即甘肃省自然科学基金(22JR5RA317)、兰州交通大学“天佑创新团队”支持计划(TY202009)和甘肃省教育厅:优秀研究生“创新之星”(2022CXZX-609)资助项目
通讯作者: 李 欣 男,1978年生,博士,教授,研究方向为电气化交通与能源融合、非接触供电。E-mail:lxfp167@163.com   
作者简介: 卢景涛 男,1998年生,硕士研究生,研究方向为电气化交通与能源融合。E-mail:lujingtao0722@163.com
引用本文:   
李欣, 卢景涛, 肖林润, 靳忠福. 高速铁路长大坡道混合储能系统容量优化配置[J]. 电工技术学报, 0, (): 41-41. Li Xin, Lu Jingtao, Xiao Linrun, Jin Zhongfu. Capacity Optimization Configuration of Hybrid Energy Storage System for Long Steep Slope of High-Speed Railway. Transactions of China Electrotechnical Society, 0, (): 41-41.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.221199          https://dgjsxb.ces-transaction.com/CN/Y0/V/I/41