Effective ROCOF-Based Islanding Detection Technique for Different Types of Microgrid

被引:20
|
作者
Altaf, Muhammad Waseem [1 ]
Arif, Mohammad Taufiqul [1 ]
Saha, Sajeeb [1 ]
Islam, Shama Naz [1 ]
Haque, Md Enamul [1 ]
Oo, Amanullah M. T. [1 ]
机构
[1] Deakin Univ, Ctr Smart Power & Energy Res cSPER, Renewable Energy & Elect Vehicle REEV Lab, Geelong, Vic 3216, Australia
关键词
Microgrids; Islanding; Frequency measurement; Phasor measurement units; Time-frequency analysis; Switches; Power system stability; Islanding detection; load switching; microgrid; motor starting; nondetection zone; ROCOF; solar PV; PROTECTION; SYSTEM;
D O I
10.1109/TIA.2022.3146094
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article presents an adaptive rate of change of frequency (ROCOF)-based passive islanding detection technique (IDT) to overcome the non-detection zone (NDZ) issue and limitation of existing IDTs. The proposed ROCOF-based passive IDT relies on the settings of the phase-locked loop (PLL) closed-loop control system for frequency, ROCOF, and threshold ROCOF value for the PCC relay-setting calculations. So, the PLL results in alternate frequency and ROCOF output value with respect to the PLL settings modification. The PLL settings can be different in different types of microgrid systems. Therefore, the proposed adaptive ROCOF-based IDT provides a generic solution for islanding detection applications for the safe and reliable operation of different types of microgrid systems. The adaptive ROCOF-based IDT is developed and implemented on two different types of the microgrid systems such as i) generator-based microgrid ii) generator, PV, and storage-based hybrid microgrid in Matlab/Simpower system. Results showed that the proposed IDT successfully detected the islanding condition even with zero power mismatch and it is fully capable to distinguish between islanding (loss of mains and external fault) and nonislanding (internal fault, load switching, motor starting, etc.) conditions with a diverse range of operating conditions.
引用
收藏
页码:1809 / 1821
页数:13
相关论文
共 50 条
  • [41] Improved Active Islanding Detection Technique with Different Current Injection Waveform
    Zhang, Shaoru
    Wang, Lijun
    Du, Xiuju
    Zhang, Ruiye
    Huang, Zhanping
    Duan, Shuchun
    Yang, Wenxiu
    Wang, Pingjun
    Zhang, Jielu
    PROCESSES, 2023, 11 (06)
  • [42] A Novel Hybrid Approach Using SMS and ROCOF for Islanding Detection of Inverter-Based DGs
    Akhlaghi, Shahrokh
    Sarailoo, Morteza
    Akhlaghi, Arash
    Ghadimi, Ali Asghar
    2017 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2017,
  • [43] Lissajous Parameters based Islanding Detection of Multiple DGs in Microgrid
    Kumar, Avinash
    Panda, Rakesh Kumar
    Mohapatra, Abheejeet
    Singh, S. N.
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [44] A Robust Wavelet-ANN Based Technique for Islanding Detection
    ElNozahy, Mohamed S.
    El-Saadany, Ehab F.
    Salama, Magdy M. A.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [45] A Novel Islanding Detection Technique Based on Wavelet Packet Transform
    Mishra, M.
    Rout, P. K.
    Patel, S.
    2015 IEEE POWER, COMMUNICATION AND INFORMATION TECHNOLOGY CONFERENCE (PCITC-2015), 2015, : 697 - 702
  • [46] Islanding Detection Technique based on Statistical Approach for Distribution Network
    Sareen, Karan
    Bhalja, Bhavesh R.
    Srivastava, Sanjay
    Swarnkar, Yogendra
    2018 5TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS), 2018,
  • [47] A novel Multi-LSTM based deep learning method for islanding detection in the microgrid
    Ozcanli, Asiye Kaymaz
    Baysal, Mustafa
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 202
  • [48] HIL implementation of an islanding detection and an automatic mode switching for droop-based microgrid
    Kulkarni S.V.
    Gaonkar D.N.
    International Journal of Power Electronics, 2022, 15 (01) : 37 - 54
  • [49] Deep neural networks based method to islanding detection for multi-sources microgrid
    Aazami, Rahmat
    Shoaei, Mohadeseh
    Moradkhani, Amin
    Shirkhani, Mohammadamin
    Elrashidi, Ali
    Aboras, Kareem M.
    ENERGY REPORTS, 2024, 11 : 2971 - 2982
  • [50] Improved Gaussian Filter Based Solar PV-BES Microgrid With PLL Based Islanding Detection and Seamless Transfer Control
    Pranith, Sai
    Kumar, Shailendra
    Singh, Bhim
    Bhatti, T. S.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (06) : 5815 - 5825