湖南电力 ›› 2024, Vol. 44 ›› Issue (3): 114-119.doi: 10.3969/j.issn.1008-0198.2024.03.016

• 新技术及应用 • 上一篇    下一篇

基于一致性多储能变流器功率分配策略研究

王灿1, 邓文华1, 夏向阳2, 张坎1, 陈刚1, 胡知然1   

  1. 1.长高电新科技股份公司,湖南 长沙 410219;
    2.长沙理工大学电气与信息工程学院,湖南 长沙 410114
  • 收稿日期:2023-11-28 修回日期:2023-12-27 出版日期:2024-06-25 发布日期:2024-07-10
  • 通信作者: 夏向阳(1968),男,博士,教授,博士生导师,研究方向为柔性直流输电控制和储能安全控制等。
  • 作者简介:王灿(1969),女,专科,高级工程师,研究方向为高电压工程。
  • 基金资助:
    国家自然科学基金项目(51977014)

Research on Power Distribution Strategy of Multi-Energy Storage Converters Based on Consensus Algorithm

WANG Can1, DENG Wenhua1, XIA Xiangyang2, ZHANG Kan1, CHEN Gang1, HU Zhiran1   

  1. 1. Changgao Dianxin Science and Technology Company, Changsha 410219, China;
    2. School of Electric and Information Engineering,Changsha University of Science and Technology, Changsha 410114, China
  • Received:2023-11-28 Revised:2023-12-27 Online:2024-06-25 Published:2024-07-10

摘要: 针对电池储能系统中储能变流器数量增加导致集中控制器无法快速灵活进行各电池储能系统功率分配的问题,提出一种基于一致性算法的分布式功率分配策略。该策略考虑到各电池单元的荷电状态均衡和运行效率,根据一致性算法迭代计算各电池单元的功率指令值,将相邻单元迭代中功率指令的绝对误差作为确定迭代结束的收敛准则,实现各电池储能系统的功率分配,以满足不同场景下的特定需求。最后,将所提策略的循环寿命损失、容量储备和能量损失与现有的功率分配策略进行对比,通过仿真验证了该策略在调峰场景下的有效性。

关键词: 电池储能系统, 储能变流器, 功率分配, 一致性算法, 荷电状态

Abstract: :In order to solve the problem that the centralized controller cannot quickly and flexibly allocate power to power conversion system(PCS) due to the increasing number of PCS in battery energy storage system, a distributed power allocation strategy based on consistency algorithm is proposed in this paper. The strategy takes into account the state of charge balance and operation efficiency of each battery unit, iteratively calculates the power instruction value of each battery unit according to the consistency algorithm, and takes the absolute error of the power instruction in the iteration of adjacent units as the convergence criterion to determine the end of the iteration, so as to realize the power allocation of each PCS to meet the specific requirements in different scenarios. Finally, the cycle life loss, capacity reserve and energy loss of the proposed strategy are compared with the existing power allocation strategies, and the effectiveness of the proposed strategy in the peak load balancing scenario is verified by simulation.

Key words: battery energy storage system, energy storage converters, power distribution, consensus algorithm, state of charge

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