2025年4月8日 周二
首页 > 过刊浏览>2024年第39卷第2期 >190-197. DOI:10.19781/j.issn.1673-9140.2024.02.021
PDF HTML阅读 XML下载 导出引用 引用提醒
规模化储能虚拟同步控制策略及其惯量分析
CSTR:
[cstr]
作者:
作者单位:

(1.湖南迪泰尔综合能源规划设计有限公司，湖南 长沙 410001;2.湖南大学电气与信息工程学院，湖南 长沙 410082;3.国网湖南综合能源服务有限公司，湖南 长沙 410001)

通讯作者:

李 勇（1982—），男，博士，教授，博士生导师，主要从事电力系统运行与控制、电力电子系统与控制等方面的研究；E?mail：liyong1881@163.com

中图分类号:

TM732

基金项目:

国网湖南综合能源服务有限公司科技项目（HZN21002）


Virtual synchronous control strategy and inertia analysis of large‑scale energy storage
Author:
Affiliation:

(1.Hunan Ditel Comprehensive Energy Planning and Design Co., Ltd., Changsha 410001, China;2.College of Electrical and Information Engineering，Hunan University, Changsha 410082, China; 3. State Grid Hunan Energy Comprehensive Service Co., Ltd., Changsha 410001, China)

  • 摘要
    • | |
  • 访问统计
    • |
  • 参考文献 [20]
    • | | | |
  • 文章评论
    摘要:

    高比例电力电子设备无法为系统提供足够惯量，给电力系统带来巨大的挑战。虚拟同步发电机（virtual synchronous generator，VSG）控制的储能系统可以参与电网频率调整，提高频率稳定性。重点分析VSG控制参数对含规模化储能的多节点系统的稳定性和惯量支撑能力的影响，给出规模化储能在不同系统惯量水平下控制参数的配置依据。首先，介绍VSG控制的原理和实现方式，并建立系统的状态空间模型。其次，分析同步电机的惯量响应过程，推导频率扰动事件下VSG需要提供的能量及对应的虚拟惯性时间常数。然后,建立含VSG控制储能的3机9节点系统仿真模型，利用模态分析法分析控制参数对系统稳定性的影响。最后,通过仿真验证储能的惯性支撑能力以及储能参数配置原则的有效性。

    Abstract:

    The high proportion of power electronic equipment cannot provide enough inertia for the system, posing great challenges to the power system. The energy storage system controlled by the virtual synchronous generator (VSG) can participate in grid frequency adjustment and improve frequency stability. The influence of VSG control parameters on the stability and inertia support capability of a multi-node system with large-scale energy storage is analyzed, and the basis for configuring control parameters of large-scale energy storage under different system inertia levels is provided. Firstly, the principle and implementation of VSG control are introduced, and the state space model of the system is established. Secondly, the inertia response process of the synchronous motor is analyzed, and the energy required by VSG under frequency disturbance events and the corresponding virtual inertia time constant are derived. Then, a simulation model of a 3-machine 9-node system with VSG-controlled energy storage is established, and modal analysis is used to analyze the influence of control parameters on system stability. Finally, simulations are performed to verify the inertia support capability of energy storage and the effectiveness of energy storage parameter configuration principles.

    参考文献
    [1] 郑天文,陈来军,陈天一,等.虚拟同步发电机技术及展望[J].电力系统自动化,2015,39(21):165-175. ZHENG Tianwen,CHEN Laijun,CHEN Tianyi,et al.Review and prospect of virtual synchronous generator technologies[J].Automation of Electric Power Systems,2015,39(21):165-175.
    [2] CHEEMA K M,CHAUDHARY N I,TAHIR M F,et al.Virtual synchronous generator:modifications,stability assessment and future applications[J].Energy Reports,2022,8:1704-1717.
    [3] CHEEMA K M.A comprehensive review of virtual synchronous generator[J].International Journal of Electrical Power & Energy Systems,2020,120:106006.
    [4] 杨帆,邵银龙,李东东,等.一种计及储能容量和SOC约束的模糊自适应VSG控制策略[J].电网技术,2021,45(5):1869-1877. YANG Fan,SHAO Yinlong,LI Dongdong,et al.Fuzzy adaptive VSG control strategy considering energy storage capacity and SOC constraint[J].Power System Technology,2021,45(5):1869-1877.
    [5] 李昊,王杰.基于虚拟同步发电机技术的改进微网下垂控制[J].电力科学与技术学报,2018,33(2):11-19. LI Hao,WANG Jie.Modified droop control based on virtual synchronous generator[J].Journal of Electric Power Science and Technology,2018,33(2):11-19.
    [6] 赵晶晶,杜明,刘帅,等.基于模型预测控制的双馈风电机组调频与转子转速恢复策略[J].中国电力,2023,56(6):11-17. ZHAO Jingjing,DU Ming,LIU Shuai,et al.Frequency modulation and rotor speed recovery strategy of doubly-fed induction generator based on model predictive control[J].Electric Power,2023,56(6):11-17.
    [7] 李明飞,吴在军,全相军,等.计及阻尼特性的构网型并网逆变器暂态同步稳定性分析[J].电力系统自动化,2023,47(15):198-207. LI Mingfei,WU Zaijun,QUAN Xiangjun,et al.Transient synchronization stability analysis of grid-forming grid-connected inverter considering damping characteristics[J].Automation of Electric Power Systems,2023,47(15):198-207.
    [8] 颜琬滢,段建东,陈童,等.基于综合电流幅值比的永磁直驱风力发电机送出线路纵联保护[J].供用电,2023,40(4):47-54. YAN Wanying,DUAN Jiandong,CHEN Tong,et al.Pilot protection based on comprehensive current amplitude ratio for outgoing transmission line with permanent magnet synchronous wind power generator[J].Distribution & Utilization,2023,40(4):47-54.
    [9] 张航,周传杰,张林,等.基于概率神经网络——小波神经网络?DS信息融合的电厂引风机故障诊断[J].发电技术,2022,43(6):951-958. ZHANG Hang,ZHOU Chuanjie,ZHANG Lin,et al.Fault diagnosis of power plant induced draft fan based on PNN-WNN-DS information fusion[J].Power Generation Technology,2022,43(6):951-958.
    [10] 江世明,唐杰.基于暂态阻尼增强的改进VSG控制策略[J].电力系统保护与控制,2023,51(19):144-154.JIANG Shiming,TANG Jie.Improved VSG control strategy based on transient damping enhancement[J].Power System Protection and Control,2023,51(19):144-154.
    [11] 张丹丹,陈俊钦,阳瑞霖.巨型水轮发电机中性点新型接地方式分析[J].高压电器,2023,59(1):1-7. ZHANG Dandan,CHEN Junqin,YANG Ruilin.Analysis of new grounding mode for neutral point of giant hydro-generator[J].High Voltage Apparatus,2023,59(1):1-7.
    [12] 许守东,潘馨钰,李世伟,等.基于光伏自适应注入量的配电网单相接地故障保护方法[J].电网与清洁能源,2023,39(9):140-150. XU Shoudong,PAN Xinyu,LI Shiwei,et al.A single phase grounding fault protection method for distribution networks based on photovoltaic adaptive injection amount[J].Power System and Clean Energy,2023,39(9):140-150.
    [13] LI D D,ZHU Q W,LIN S F,et al.A self-adaptive inertia and damping combination control of VSG to support frequency stability[J].IEEE Transactions on Energy Conversion,2017,32(1):397-398.
    [14] 卢开诚,刘铠诚,董树锋.基于模糊单神经元PI的微电网频率自适应控制[J].电力工程技术,2022,41(5):131-139. LU Kaicheng,LIU Kaicheng,DONG Shufeng.A microgrid frequency control method based on fuzzy single neuron adaptive PI control[J].Electric Power Engineering Technology,2022,41(5):131-139.
    [15] 潘斌,彭嵩,余俊杰,等.考虑动态响应的虚拟发电厂频率-功率改进自适应下垂控制策略[J].电测与仪表,2023,60(4):92-98. PAN Bin,PENG Song,YU Junjie,et al.Improved adaptive droop control strategy for frequency-power of virtual power plant considering dynamic response[J].Electrical Measurement & Instrumentation,2023,60(4):92-98.
    [16] 付卓铭,胡俊杰,马文帅,等.规模化电动汽车参与电力系统二次调频研究综述[J].电力建设,2023,44(2):1-14. FU Zhuoming,HU Junjie,MA Wenshuai,et al.Review of research on participation of numerous electric vehicles in power system secondary frequency-regulation service[J].Electric Power Construction,2023,44(2):1-14.
    [17] 邬浩泽,朱晨烜,张贻山,等.一种基于改进模糊聚类算法的自适应典型日选取方法[J].智慧电力,2022,50(1):60-67. WU Haoze,ZHU Chenxuan,ZHANG Yishan,et al.Adaptive method for selecting typical days based on improved fuzzy clustering algorithm[J].Smart Power,2022,50(1):60-67.
    [18] SHI Y,FANG C,CHEN L,et al.Inertia parameter selection method for HVDC converter station based on VSG control[J].Journal of Electrical Engineering & Technology,2022,17(2):1019-1030.
    [19] LI C,CAO Y,YANG Y,et al.Impedance-based method for DC stability of VSC-HVDC system with VSG control[J].International Journal of Electrical Power & Energy Systems,2021,130:106975.
    [20] 尹政,胡存刚,芮涛,等.LC滤波型电压源逆变器无模型预测电压控制策略[J].电工技术学报,2023,38(14):3723-3732. YIN Zheng,HU Cungang,RUI Tao,et al.Model-free predictive voltage control strategy for LC-filtered voltage source inverter[J].Transactions of China Electrotechnical Society,2023,38(14):3723-3732.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

杨 力,朱晓纲,李 勇,等.规模化储能虚拟同步控制策略及其惯量分析[J].电力科学与技术学报,2024,39(2):190-197.
YANG Li, ZHU Xiaogang, LI Yong, et al. Virtual synchronous control strategy and inertia analysis of large‑scale energy storage[J]. Journal of Electric Power Science and Technology,2024,39(2):190-197.

复制
分享
文章指标
  • 点击次数:279
  • 下载次数: 1989
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2024-05-29
文章二维码

微信公众号二维码

您是本站第 85937 访问者

通信地址：长沙市（天心区）万家丽南路960号长沙理工大学

电话/传真：0731-85258195 E-mail：dlxb04@163.com

版权所有：电力科学与技术学报 ® 2025 版权所有

京公网安备 11010802026262号