储能科学与技术 ›› 2024, Vol. 13 ›› Issue (11): 4053-4055.doi: 10.19799/j.cnki.2095-4239.2024.1001

• 储能系统与工程 • 上一篇    下一篇

轨道交通运输中的储能系统容量配置和能量优化研究

吴静(), 张乐()   

  1. 广州铁路职业技术学院运输物流学院,广东 广州 510000
  • 收稿日期:2024-08-24 出版日期:2024-11-28 发布日期:2024-11-27
  • 通讯作者: 吴静,张乐 E-mail:Jillwjhm@163.com;le.zhang.Chinese@gmail.com
  • 作者简介:吴静(1981—),女,博士,副教授,研究方向为轨道交通运输组织,E-mail:Jillwjhm@163.com
  • 基金资助:
    广东省普通高校创新团队项目(2022WCXTD032);教育部职教团队课题研究项目(ZH2021090301);广东省高职院校产教融合创新平台项目(2022CJPT016)

Research on capacity configuration and energy optimization of energy storage systems in rail transit

Jing WU(), Le ZHANG()   

  1. Guangzhou Railway Polytechnic, Transportation and Logistics Industry, Guangzhou 510000, Guangdong, China
  • Received:2024-08-24 Online:2024-11-28 Published:2024-11-27
  • Contact: Jing WU, Le ZHANG E-mail:Jillwjhm@163.com;le.zhang.Chinese@gmail.com

摘要:

近年来,城市轨道交通的规模增长非常迅速,轨道交通运输系统的整体能耗随之增大。本文针对轨道交通运输中的高能耗问题,对轨道储能系统容量配置和能量优化进行研究和分析。首先总结了轨道交通运输中的储能系统的研究和应用进展,接着对储能系统容量配置和能量优化问题进行分析和建模研究,构建了储能系统全寿命周期成本模型,最后提出了基于遗传算法和粒子群算法的混合优化算法来获得最低总成本以及对应的容量和能量配置,从而有助于实现节能、低碳和绿色的轨道交通运输目标。

关键词: 轨道交通, 储能系统, 容量配置

Abstract:

In recent years, the scale of urban rail transit has grown very rapidly, and the overall energy consumption of rail transit transportation systems has increased accordingly. Aiming at the problem of high energy consumption in rail transit transportation, this paper studies and analyzes the capacity configuration and energy optimization of rail energy storage systems. First, the research and application progress of energy storage systems in rail transit transportation is summarized, and then the capacity configuration and energy optimization problems of energy storage systems are analyzed and modeled, and a full life cycle cost model of energy storage systems is constructed. Finally, a hybrid optimization algorithm based on genetic algorithm and particle swarm algorithm is proposed to obtain the minimum total cost and the corresponding capacity and energy configuration, which will help achieve the goals of energy-saving, low-carbon and green rail transit transportation.

Key words: rail transit, energy storage system, capacity configuration

中图分类号: