化工进展 ›› 2022, Vol. 41 ›› Issue (10): 5630-5636.DOI: 10.16085/j.issn.1000-6613.2021-2611

• 资源与环境化工 • 上一篇    下一篇

适应多负载电池储能系统的拓扑结构优化重构方法

郑良天1(), 康丽霞1,2,3, 黄贤坤1,2,3, 刘永忠1,2,3()   

  1. 1.西安交通大学化工系,陕西 西安 710049
    2.新能源系统工程与装备陕西省高校工程研究中心,陕西 西安 710049
    3.陕西省能源化工过程强化重点实验室,陕西 西安 710049
  • 收稿日期:2021-12-23 修回日期:2022-03-29 出版日期:2022-10-20 发布日期:2022-10-21
  • 通讯作者: 刘永忠
  • 作者简介:郑良天(1997—),男,硕士研究生,研究方向为化工系统工程。E-mail:zlt2015@stu.xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(21878240);陕西省重点研发计划(2022GY-197)

Optimal reconfiguration method for topology of battery energy storage systems adapting to multiple load demands

ZHENG Liangtian1(), KANG Lixia1,2,3, HUANG Xiankun1,2,3, LIU Yongzhong1,2,3()   

  1. 1.Department of Chemical Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
    2.Engineering Research Center of New Energy System Engineering and Equipment, University of Shaanxi Province, Xi’an 710049, Shaanxi, China
    3.Shaanxi Key Laboratory of Energy Chemical Process Intensification, Xi’an 710049, Shaanxi, China
  • Received:2021-12-23 Revised:2022-03-29 Online:2022-10-20 Published:2022-10-21
  • Contact: LIU Yongzhong

摘要:

可重构技术应用于电池储能系统是退役电池回收再利用的有效方法之一。然而,由于储能系统供给侧和需求侧的多样性、退役电池包的拆解成本高且易引发环境和安全问题等问题,退役电池重组再利用构成储能系统非常困难。为了解决这一问题,本文采用电池重构对电压不一致的电池包进行重组再利用,以满足多负载需求为目标,在保证能源效率和系统安全的前提下,提出了一种面向多负载需求的低拓扑复杂交换度的退役电池组拓扑重构优化设计方法。通过构建多目标优化模型,并采用改进的二进制纵横交叉算法求解模型,获得了满足多负载需求的最优拓扑结构,并通过案例分析验证了本文所提方法的有效性。研究表明,通过调整多目标间的权重,可提高可重构电池储能系统拓扑结构的设计弹性。

关键词: 电池储能系统, 退役电池, 拓扑重构模型, 改进的二进制纵横交叉算法, 优化设计

Abstract:

The application of reconfigurable technology in battery energy storage systems is one of the effective methods for recycling retired batteries. However, it becomes very difficult to reorganize the battery energy storage system with retired batteries owing to the diverse requirements of the supply side and demand side. Moreover, it is also worthy of noting that the dismantling of retired battery packs is costly and easy to cause environment and safety problems. In order to solve these problems, battery reconfiguration technology is used to reorganize and reuse battery packs with inconsistent voltages to meet the needs of multiple loads. Under the premise of ensuring energy efficiency and system safety, an optimal design method for topology reconfiguration with low topological complexity exchange degree for multiple loads was proposed. By solving a multi-objective optimization model via applying the improved binary crisscross optimization algorithm (BCSO), we obtained an optimal structure that meets the multiple load demands. An example was given to verify the effectiveness of the proposed method. It showed that the design flexibility of the reconfigurable topology of the battery energy system can be improved by adjusting the weights of the multiple objectives.

Key words: battery energy storage system, retired batteries, topology reconfiguration model, improved binary crisscross optimization algorithm, optimal design

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