An Islanding Detection Method Based on the Reactive Power Disturbance for Multiple Inverter-Based DG Systems

被引:6
|
作者
Peng, Te [1 ]
Bai, Chenxi [1 ]
Song, Xuan [1 ]
Duan, Shanxu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Elect & Elect Engn, Wuhan 430074, Peoples R China
关键词
Distributed generation (DG); disturbance synchronization; islanding detection; positive feedback of frequency difference; weak grid; FREQUENCY-SHIFT; FUTURE;
D O I
10.1109/TIE.2023.3274875
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, an islanding detection method for multiple inverter-based distributed generation systems is proposed, which is based on perturbing reactive power output. An asymmetric form of positive and negative reactive power disturbance (RPD) is presented so that there always exists a certain total amount of disturbance in the system. To decrease the disturbance amplitude without expanding the nondetection zone (NDZ), a positive feedback of frequency difference is added to the disturbance. A RPD synchronization method without communication among inverters is proposed so that the averaging effect caused by unsynchronized reactive disturbances can be eliminated and the island can be detected in a multiple distributed generator (DG) system. In addition, the islanding detection criterion is improved by establishing the relationship between the direction of disturbance and the numerical symbol of frequency difference, so there is no misjudgment of islanding detection in a weak grid. Finally, an experimental platform consisting of three 6kW three-phase grid-connected inverters and a 99.9 kVA islanding detection test device is established. The experimental and simulation results indicate that the proposed method performs fast and precise islanding detection for the multiple-DG system with small NDZ and little impact on power quality. Additionally, no misjudgment happens in a weak grid.
引用
收藏
页码:3253 / 3263
页数:11
相关论文
共 50 条
  • [21] Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system
    Hashemi, Farid
    Ghadimi, Noradin
    Sobhani, Behrooz
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 45 (01) : 443 - 455
  • [22] A novel hybrid islanding detection method for inverter-based distributed generation based on frequency drift
    Akhlaghi, S. (shahrokh.akhlaghi@gmail.com), 1600, Institution of Engineers (Australia) (11):
  • [23] Passive Islanding Detection of Inverter-Based Resources in a Noisy Environment
    Amini, Hossein
    Mehrizi-Sani, Ali
    Noroozian, Reza
    ENERGIES, 2024, 17 (17)
  • [24] An Islanding Detection Technique for Inverter-Based Distributed Generation in Microgrids
    Karimi, Mazaher
    Farshad, Mohammad
    Hong, Qiteng
    Laaksonen, Hannu
    Kauhaniemi, Kimmo
    ENERGIES, 2021, 14 (01)
  • [25] Evaluation of Islanding Detection Techniques for Inverter-Based Distributed Generation
    Faqhruldin, Omar N.
    El-Saadany, E. F.
    Zeineldin, H. H.
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [26] Improved Decoupled Control and Islanding Detection of Inverter-Based Distribution in Multibus Microgrid Systems
    Pinto, Smitha Joyce
    Panda, Gayadhar
    JOURNAL OF POWER ELECTRONICS, 2016, 16 (04) : 1526 - 1540
  • [27] Mode of oscillation based islanding detection of inverter interfaced DG
    Kumar, Avinash
    Panda, R. K.
    Mohapatra, Abheejeet
    Singh, S. N.
    Srivastava, S. C.
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 200
  • [28] Islanding Detection for Inverter-Based Distributed Generation Using Support Vector Machine Method
    Matic-Cuka, Biljana
    Kezunovic, Mladen
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (06) : 2676 - 2686
  • [29] New Islanding Detection Method With Voltage Amplitude Variation for Inverter-based Distributed Generator
    Naraghipour, Kianoush
    Ahmed, Khaled
    Booth, Campbell
    2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID, 2021, : 243 - 248
  • [30] A Bayesian Passive Islanding Detection Method for Inverter-Based Distributed Generation Using ESPRIT
    Najy, Waleed K. A.
    Zeineldin, H. H.
    Alaboudy, Ali H. Kasem
    Woon, Wei Lee
    IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (04) : 2687 - 2696