• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2023, Vol. 44 ›› Issue (7): 33-40.doi: 10.12204/j.issn.1000-7229.2023.07.004

• 新型电力系统背景下储能系统规划配置与运行控制·栏目主持 李相俊教授级高工、帅智康教授、颜宁副教授· • 上一篇    下一篇

大型电池储能电站的集控技术研究

李毓烜1, 汪泰安2,3, 彭鹏1, 胡振恺1, 赵宇鑫2, 李宁宁2, 唐西胜2,3()   

  1. 1.南方电网调峰调频发电有限公司储能科研院,广州市 510630
    2.中国科学院电工研究所,北京市 100190
    3.中国科学院大学,北京市 100049
  • 收稿日期:2022-11-02 出版日期:2023-07-01 发布日期:2023-06-25
  • 通讯作者: 唐西胜(1975),男,博士,研究员,博士生导师,研究方向为电力系统稳定与控制、分布式电力与储能、交直流微电网,E-mail:tang@mail.iee.ac.cn。 E-mail:tang@mail.iee.ac.cn
  • 作者简介:李毓烜(1994),男,硕士,工程师,主要研究方向为电池储能技术及储能商业模式;
    汪泰安(2000),男,硕士研究生,主要研究方向为新型电力系统规划与运行方法;
    彭鹏(1988),男,硕士,高级工程师,主要研究方向为抽水蓄能电厂电气设备检修及电池储能技术;
    胡振恺(1986),男,本科,高级工程师,主要研究方向为抽水蓄能电厂电气设备检修及电池储能技术;
    赵宇鑫(1995),女,硕士,工程师,主要研究方向为储能和微电网的能量管理优化方法;
    李宁宁(1984),男,硕士,高级工程师,主要研究方向为交直流电网及变流控制技术
  • 基金资助:
    国家重点研发计划项目(2019YFE0123600);南方电网公司重点科技项目(STKJXM20200059);国家自然科学基金联合基金重点支持项目(U22B20123)

Research on Cluster Control of Large Battery Storage Power Station

LI Yuxuan1, WANG Taian2,3, PENG Peng1, HU Zhenkai1, ZHAO Yuxin2, LI Ningning2, TANG Xisheng2,3()   

  1. 1. CSG PGC Power Storage Research Institute, Guangzhou 510630, China
    2. Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2022-11-02 Online:2023-07-01 Published:2023-06-25
  • Supported by:
    National Key R&D Program(2019YFE0123600);Key Science and Technology Project of China Southern Power Grid Corporation(STKJXM20200059);National Natural Science Foundation of China(U22B20123)

摘要:

锂离子电池作为目前主要的新型储能技术,得到了高度重视和发展,单个电池储能电站的装机规模越来越大。由于大型储能电站往往由众多小容量、标准化的储能系统单元聚集而成,如何实现多储能单元集群的高效控制与管理,是储能电站整体性能的重要保证。针对大型储能电站的集控技术进行研究,在系统功能需求分析的基础上,提出了基于EtherCAT的集控架构和网络分层方法,对集控管理层、单元控制层和受控设备层进行了优化设计,并对通信能力进行了计算。最后搭建了实验平台验证了所提架构和设计的有效性,为大型储能电站参与电力系统多种运行的快速性和可靠性提供了技术参考。

关键词: 电池储能电站, 集群控制, EtherCAT, 电力系统快速调节

Abstract:

Lithium-ion batteries, the leading new energy storage technology, have been highly valued and developed. The installed capacity of single-battery energy-storage plants (BESP) continues to grow. Given that a BESP is often composed of many small-capacity standardized energy storage system units, achieving efficient control and management of multiple energy storage unit clusters is an essential guarantee for optimizing the overall performance of energy storage power plants. Cluster control technologies of the BESP were investigated in this study. Based on the BESP control functional requirements analysis, a control architecture and network-layering method based on EtherCAT were proposed. Optimizations were made for the cluster control and management, unit control, and controlled equipment layers, and the communication capability of the BESP control system was calculated. Finally, an experimental platform was set up to verify the effectiveness of the proposed architecture and design process. This provides a technical reference for large-scale BESP to contribute to the rapid and reliable operation of various power systems.

Key words: battery energy storage plant, cluster control, EtherCAT, rapid regulation of the power system

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