Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (3): 1299-1309.doi: 10.19799/j.cnki.2095-4239.2024.1136

• Emerging Investigator Issue of Energy Storage • Previous Articles     Next Articles

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. 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

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

CLC Number: