储能科学与技术 ›› 2022, Vol. 11 ›› Issue (5): 1475-1481.doi: 10.19799/j.cnki.2095-4239.2021.0619

• 储能系统与工程 • 上一篇    下一篇

基于优化动态分组技术的电池储能电站跟踪AGC指令控制策略

蔡新雷1(), 董锴1, 孟子杰1, 喻振帆1, 王卜潇2, 余洋2()   

  1. 1.广东电网有限责任公司电力调度控制中心,广东 广州 510600
    2.华北电力大学(保定),新能源电力系统国家重点实验室,河北 保定 071003
  • 收稿日期:2021-11-22 修回日期:2021-12-11 出版日期:2022-05-05 发布日期:2022-05-07
  • 通讯作者: 余洋 E-mail:517665114@qq.com;yym0401@163.com
  • 作者简介:蔡新雷(1986—),男,硕士,高级工程师,主要研究方向为电力系统运行控制,E-mail:517665114@qq.com
  • 基金资助:
    南方电网公司科技项目资助036000KK52190005(GDKJXM20198110)

AGC command tracking control strategy for battery energy storage power station based on optimized dynamic grouping technology

Xinlei CAI1(), Kai DONG1, Zijie MENG1, Zhenfan YU1, Boxiao WANG2, Yang YU2()   

  1. 1.Electric Power Dispatching Control Center of Guangdong Grid Co. , Ltd. , Guangzhou 510600, Guangdong, China
    2.State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, Hebei, China
  • Received:2021-11-22 Revised:2021-12-11 Online:2022-05-05 Published:2022-05-07
  • Contact: Yang YU E-mail:517665114@qq.com;yym0401@163.com

摘要:

针对电池储能电站在跟踪AGC指令时电池单元的荷电状态一致性较低且动作次数较高的问题,研究了电池储能电站跟踪AGC指令的新型控制策略。在简要论述天牛须搜索算法工作原理的基础上,提出了基于动态分组技术的电池储能电站跟踪AGC指令控制策略。首先,根据电池单元的荷电状态对其进行排序,并根据排序结果对电池单元进行一次分组;然后,确定各电池组功率响应指令以及组内功率分配原则;再次,依据电池单元动作次数差异对电池单元进行二次分组;最后,由电池组内功率分配原则得出电池单元功率响应指令,电池单元响应功率指令完成调控。此外,本文按照电池储能电站跟踪AGC指令的效果设计了评价体系,进而构建了天牛须搜索算法所需的适应度函数,并利用天牛须搜索算法优化动态分组技术的强制更新阈值。通过跟踪某实际的AGC指令,结果表明,提出的控制策略提升了电池储能电站跟踪AGC指令的效果,提高了电池单元荷电状态的一致性,减少了电池单元的动作次数。

关键词: 电池储能, 动态分组技术, AGC, 天牛须搜索算法

Abstract:

Aiming at the problem of low consistency of charge state and high action times of battery cells when battery energy storage power station tracks AGC command, a new control strategy for battery energy storage power station to track AGC command is studied in this paper. Based on the brief discussion of the working principle of the Beetle Antennae Search, this paper puts forward the tracking AGC command control strategy of battery energy storage power station based on dynamic grouping technology. Firstly, the battery cells are sorted according to their charge state, and the battery cells are grouped once according to the sorting results; Then, determine the power response command of each battery pack according to its power distribution principle; Thirdly, the battery cells are grouped twice according to the difference in the action times of the battery cells; Finally, according to the principle of power distribution in the battery pack, the battery unit power response command is obtained, and the battery unit responds to the distributed power. In addition, this paper designs the evaluation system according to the effect of battery energy storage power station tracking AGC command, then constructs the fitness function required by Beetle Antennae Search, and uses Beetle Antennae Search to optimize the forced update threshold of dynamic grouping technology. The simulation results show that the control strategy improves the effect of battery energy storage power station tracking AGC command, improves the consistency of battery cell charge state, and reduces the action times of battery cell.

Key words: battery energy storage, dynamic grouping technology, AGC, beetle antennae search

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