基于李萨如图形-阻抗辨识的构网型储能混合式孤岛检测方法

doi:10.19799/j.cnki.2095-4239.2024.1136

储能科学与技术 ›› 2025, Vol. 14 ›› Issue (3): 1299-1309.doi: 10.19799/j.cnki.2095-4239.2024.1136

基于李萨如图形-阻抗辨识的构网型储能混合式孤岛检测方法

王曦¹(), 滕予非¹, 石鹏¹, 张蔚萱², 陈保瑞¹, 白珈于¹, 杜新伟³, 苟竞³, 胡鹏飞⁴()

^1.国网四川省电力公司电力科学研究院，四川成都 610095
^2.浙江大学工程师学院，浙江杭州 310015
^3.国网四川省电力有限公司，四川成都 610041
^4.浙江大学电气工程学院，浙江杭州 310027

收稿日期:2024-12-01 修回日期:2025-01-02 出版日期:2025-03-28 发布日期:2025-04-28
通讯作者: 胡鹏飞 E-mail:5045641@qq.com;hpf@zju.edu.cn
作者简介:王曦（1988—），男，博士，主要研究方向为电力系统稳定与控制，E-mail：5045641@qq.com；
基金资助:
国家电网有限公司科技项目：构网型储能运行理论、控制方法与样机研发项目(52199723002A)

A hybrid islanding detection method based on the Lissajous Pattern and impedance for grid-forming energy storage inverter

Xi WANG¹(), Yufei TENG¹, Peng SHI¹, Weixuan ZHANG², Baorui CHEN¹, Jiayu BAI¹, Xinwei DU³, Jing GOU³, Pengfei HU⁴()

^1.State Grid Sichuan Electric Power Research Institute, Chengdu 610095, Sichuan, China
^2.Polytechnic Institute, Zhejiang University, Hangzhou 310015, Zhejiang, China
^3.State Grid Sichuan Electric Power Co. , Ltd. , Chengdu 610041, Sichuan, China
^4.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China

Received:2024-12-01 Revised:2025-01-02 Online:2025-03-28 Published:2025-04-28
Contact: Pengfei HU E-mail:5045641@qq.com;hpf@zju.edu.cn

摘要/Abstract

摘要：

快速可靠地识别非计划性孤岛是构网型储能变流器实现并离网运行状态的平滑切换的关键问题，当前孤岛检测方法在负荷与变流器功率零失配时容易失效且阈值难以设定。为此，本工作提出了一种基于电压电流李萨如图形和阻抗辨识的混合式孤岛检测方法。该方法利用基于电压电流李萨如图形的面积与短轴捕捉电压电流特征，当检测得到的孤岛检测指标超出阈值时，注入扰动触发阻抗辨识。李萨如图形-阻抗辨识的混合式检测不仅能够很好地检测到负荷与变流器功率完全匹配时电压电流的微小变化，而且能够很好区分孤岛情况与非孤岛故障。为了解决孤岛检测阈值选取困难且与电网参数高度关联的问题，该方法采用了相对性指标，并利用Ostu法给出了被动检测指标的阈值。最后，通过MATLAB/Simulink仿真和硬件在环实验验证了所提出方法的有效性。实验结果表明，即使在负荷功率与变流器完全匹配且品质因数为2.5时，所提出方法也能有效可靠检测到孤岛现象。

关键词: 电压电流李萨如图形, 孤岛检测, 阻抗辨识, 储能变流器

Abstract:

Rapid and reliable identification of unintentional islanding is crucial for grid-forming energy storage inverters to achieve smooth transitions between grid-connected and islanding operation modes. Current islanding detection methods often fail under perfectly matched loading conditions and struggle with threshold selection. To address this, this study proposes a hybrid islanding detection method based on the V-I Lissajous pattern and impedance. This method utilizes the area and minor axis of voltage-current Lissajous plots to capture the characteristics of voltage and current. When the detected islanding detection indicators fail to meet the threshold, disturbances are injected to identify impedance. The combined Lissajous pattern-impedance identification enables the detection of minor changes in voltage and current under perfectly matched load and converter power while effectively distinguishing islanding conditions from non-islanding faults. To overcome the challenge of threshold selection for islanding detection, which is highly correlated with grid parameters, this method employs relative indicators and uses the Otsu method to determine a threshold for passive detection indicators. The proposed method is verified through MATLAB/Simulink simulation and hardware-in-the-loop experiments. The experimental results show that even with perfectly matched load power with the converter and a quality factor of 2.5, the proposed method effectively and reliably detects islanding phenomena.

Key words: V-I Lissajous pattern, islanding detection, impedance identification, energy storage inverter

中图分类号:

TM 46

王曦, 滕予非, 石鹏, 张蔚萱, 陈保瑞, 白珈于, 杜新伟, 苟竞, 胡鹏飞. 基于李萨如图形-阻抗辨识的构网型储能混合式孤岛检测方法[J]. 储能科学与技术, 2025, 14(3): 1299-1309.

Xi WANG, Yufei TENG, Peng SHI, Weixuan ZHANG, Baorui CHEN, Jiayu BAI, Xinwei DU, Jing GOU, Pengfei HU. A hybrid islanding detection method based on the Lissajous Pattern and impedance for grid-forming energy storage inverter[J]. Energy Storage Science and Technology, 2025, 14(3): 1299-1309.

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参考文献 30

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拟合所用模型	标准方差	R²
正态分布	0.195	0.840
威布尔分布	0.165	0.897
对数正态	0.253	0.731

拟合所用模型	标准方差	R²
正态分布	0.182	0.852
威布尔分布	0.154	0.906
对数正态	0.225	0.791

参数	数值
开关频率	2.5 kHz
额定有功功率	500 kW
储能输出直流电压	800 V
线路电压V_rms	380 V
频率	50 Hz
负荷情况	R=2.94 Ω
	L=200 μH
	C=50 mF
VSG控制参数	J=2 D=40

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基于李萨如图形-阻抗辨识的构网型储能混合式孤岛检测方法

A hybrid islanding detection method based on the Lissajous Pattern and impedance for grid-forming energy storage inverter

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