储能科学与技术 ›› 2023, Vol. 12 ›› Issue (4): 1185-1193.doi: 10.19799/j.cnki.2095-4239.2022.0664

• 储能系统与工程 • 上一篇    下一篇

集成混合储能及RPC的牵引供电系统优化运行

董文哲1(), 杨斯泐1, 梁宗佑2(), 陈垠宇2   

  1. 1.中国铁道科学研究院集团有限公司,北京 100081
    2.西南交通大学,四川 成都 611730
  • 收稿日期:2022-11-09 修回日期:2022-11-18 出版日期:2023-04-05 发布日期:2023-05-08
  • 通讯作者: 梁宗佑 E-mail:dwz_swjtu@163.com;2435828243@my.swjtu.edu.cn
  • 作者简介:董文哲(1994—),男,硕士,助理研究员,研究方向为电气工程,E-mail:dwz_swjtu@163.com
  • 基金资助:
    中国铁道科学研究院集团有限公司院基金项目(2021YJ268)

Research on optimal operation of traction power supply system with integrated hybrid energy storage and RPC

Wenzhe DONG1(), Sile YANG1, Zongyou LIANG2(), Yinyu CHEN2   

  1. 1.China Academy of Railway Sciences Co. , Ltd. , Beijing 100081, China
    2.Southwest Jiaotong University, Chengdu 611730, Sichuan, China
  • Received:2022-11-09 Revised:2022-11-18 Online:2023-04-05 Published:2023-05-08
  • Contact: Zongyou LIANG E-mail:dwz_swjtu@163.com;2435828243@my.swjtu.edu.cn

摘要:

电气化铁路电分相构成了无电区,阻碍各供电区间内能量传递,不利于再生制动能量的回收利用,极大地影响了铁路运营效益。为降低铁路运营成本,在电分相处接入铁路功率调节器(railway power conditioner,RPC),RPC直流环节便于混合储能装置接入。在此基础上,本文提出了一种牵引供电系统优化运行策略,通过控制混合储能充放电,达到削减负荷尖峰,回收制动能量的效果,进而实现牵引负荷的削峰填谷。该模型以牵引供电系统运行总成本最低为目标,以混合储能充放电功率等为决策变量,考虑了系统潮流平衡、混合储能等约束。进一步地,将模型中的非线性函数线性化,得到混合整数线性规划模型,然后利用CPLEX求解得到混合储能充放电策略和牵引供电系统购电方案。最后,基于实测数据,分析了所提模型的降费效果。与既有牵引供电系统对比,接入混合储能和RPC之后牵引供电系统日运营成本降低效果显著,为牵引供电系统优化运行提供了依据。

关键词: 储能, 削峰填谷, 充放电控制策略

Abstract:

The electric phase of electrified railway constitutes a no-power zone, which hinders the energy transfer in each power supply area, is not conducive to the recovery and utilization of regenerative braking energy, and greatly affects the railway operation efficiency. In order to reduce the railway operation cost, the railway power conditioner (RPC) is connected in the electric phase, and the RPC DC link is convenient for the hybrid energy storage system (HESS) to access. On this basis, an optimal operation strategy of traction power supply system (TPSS) is proposed in this paper. By controlling the charge and discharge of HESS, the load peak is reduced and the braking energy is recovered, so as to realize the peak cutting and valley filling of traction load. The model aims to minimize the total operating cost of TPSS, and takes HESS charging and discharging power as decision variables. Furthermore, the nonlinear function in the model is linearized to obtain the mixed integer linear programming model, and then CPLEX is applied to obtain the charging and discharging strategy of HESS and the power purchase scheme of TPSS. Finally, based on the measured data, the cost-reduction effect of the proposed model is analyzed. Compared with the existing TPSS, the daily operating cost of the TPSS is significantly reduced after the HESS and RPC are connected, which provides a basis for the optimization operation of the TPSS.

Key words: energy storage, peak load shifting, charge-discharge control strategy

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