储能科学与技术 ›› 2025, Vol. 14 ›› Issue (7): 2738-2751.doi: 10.19799/j.cnki.2095-4239.2025.0011

• 第十三届储能国际峰会暨展览会专辑 • 上一篇    下一篇

考虑分布式储能功率支撑的配电网供电恢复频率控制方法

王子滔(), 李浩然()   

  1. 深圳供电局有限公司,广东 深圳 518000
  • 收稿日期:2025-01-03 修回日期:2025-01-25 出版日期:2025-07-28 发布日期:2025-07-11
  • 通讯作者: 李浩然 E-mail:totoowong@163.com;151224487@qq.com
  • 作者简介:王子滔(1995—),男,硕士,工程师,主要研究方向为配网自动化,E-mail:totoowong@163.com
  • 基金资助:
    深圳供电局有限公司2023年深圳电网配调集约化等配网生产组织模式优化技术支持功能建设项目(09000020240301030900108)

Frequency control method for power restoration in distribution networks considering distributed energy storage power support

Zitao WANG(), Haoran LI()   

  1. Shenzhen Power Supply Bureau Co. , Ltd. , Shenzhen 518000, Guangdong, China
  • Received:2025-01-03 Revised:2025-01-25 Online:2025-07-28 Published:2025-07-11
  • Contact: Haoran LI E-mail:totoowong@163.com;151224487@qq.com

摘要:

针对配电网供电恢复过程中的孤网系统的频率波动问题,提出了考虑分布式储能功率支撑的配电网供电恢复频率控制方法。首先,根据分布式光伏及储能设备的频率响应特性,建立了供电恢复过程中孤网系统的时域模型;然后,基于模型预测控制分别制定稳定裕度优化和暂态频率优化控制模式,构建了储能支撑的频率控制策略,并结合哈里斯鹰优化算法实现了目标函数间的权重系数优化;最后,通过仿真算例对比不同控制策略下的调频性能,以验证所提方法的有效性。结果表明,该方法有效改善了系统的最大频率波动与调节时间,能够抑制配电网在供电恢复过程中的频率波动问题,提升系统的频率控制性能。

关键词: 配电网, 分布式储能, 供电恢复, 模型预测控制, 频率控制

Abstract:

To address the frequency fluctuation problem in isolated network systems during power restoration, a frequency control method was proposed. The proposed method leverages distributed energy storage to provide power support. First, a time-domain model of an isolated grid system during power restoration was established using the frequency response characteristics of distributed photovoltaic and energy storage devices. Second, a frequency control strategy for energy storage support was constructed, and stable margin optimization and transient frequency optimization control modes based on model predictive control were developed. The weight coefficient between the objective functions was obtained using the Harris Hawk optimization algorithm. Finally, the frequency modulation performances under different control strategies were compared through simulation examples to verify the effectiveness of the proposed method. The results demonstrate that the proposed method effectively improves the maximum frequency fluctuation and regulation time of the system, suppresses the frequency fluctuation problem in the power supply recovery process of the distribution network, and enhances the frequency control performance of the system.

Key words: distribution network, distributed energy storage, fault recovery, model predictive control, frequency control

中图分类号: