A Communication-Free Fault Detection and Classification Scheme for Power Islands

被引:0
作者
Chhetija, Deepika [1 ]
Rather, Zakir Hussain [1 ]
Doolla, Suryanarayana [1 ]
机构
[1] Indian Inst Technol, Energy Sci & Engn, Mumbai 400076, India
关键词
Inverters; Relays; Fault detection; Voltage control; Transient analysis; Microgrids; Harmonic analysis; fault classification; microgrid; inverter interfaced distributed generation (IIDG); transient monitoring function (TMF); PROTECTION; COORDINATION;
D O I
10.1109/TIA.2024.3353722
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fault detection and classification (FDAC) for islanded power networks is a challenge due to low short circuit current fed by inverter interfaced distributed generator (IIDGs), control dependent fault models and bi-directional current flow. This article proposes a FDAC scheme, which utilizes the local voltages, measured at relay terminals. The transient monitoring function (TMF) of the voltage signal ($T_{v}$) gives the information of the fault transients. The proposed scheme is validated on the modified CIGRE test microgrid and IEEE 33 bus distribution network. Several test cases are simulated in MATLAB/Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results proves the accuracy of proposed FDAC scheme, with local information available at relaying points. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. Experimental validation with Texas Instruments digital signal controller (DSC) TMS320F28377D and OPAL-RT real time digital simulator shows the efficacy of the proposed scheme for practical implementation. Further, performance during no-fault scenarios, and accuracy with different controllers and current limiting algorithms are also illustrated.
引用
收藏
页码:4921 / 4932
页数:12
相关论文
共 50 条
  • [31] Fast fault detection scheme for series-compensated lines during power swing
    Daryalal, M.
    Sarlak, M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 92 : 230 - 244
  • [32] A Reliable Fault Detection and Classification Scheme based on Wavelet transform and Ensemble of SVM for Microgrid Protection
    Manohar, Murli
    Koley, Ebha
    Ghosh, Subhojit
    PROCEEDINGS OF THE 2017 3RD INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2017, : 24 - 28
  • [33] Two-stage power-based fault detection scheme for photovoltaic systems
    Khoshnami, Aria
    Sadeghkhani, Iman
    SOLAR ENERGY, 2018, 176 : 10 - 21
  • [34] Design of Power Distribution Network Fault Data Collector for Fault Detection, Location and Classification using Machine Learning
    Sowah, Robert A.
    Dzabeng, Nicholas A.
    Ofoli, Abdul R.
    Acakpovi, Amevi
    Koumadi, Koudjo M.
    Ocrah, Joshua
    Martin, Deborah
    2018 IEEE 7TH INTERNATIONAL CONFERENCE ON ADAPTIVE SCIENCE & TECHNOLOGY (IEEE ICAST), 2018,
  • [35] A correlation coefficient-based algorithm for fault detection and classification in a power transmission line
    Musa, Mohammed H. H.
    He, Zhengyou
    Fu, Ling
    Deng, Yujia
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 13 (10) : 1394 - 1403
  • [36] k-NN based fault detection and classification methods for power transmission systems
    Aida Asadi Majd
    Haidar Samet
    Teymoor Ghanbari
    Protection and Control of Modern Power Systems, 2017, 2 (1)
  • [37] A New Approach for Machine Learning-Based Fault Detection and Classification in Power Systems
    Tokel, Mil Alper
    Al Halaseh, Rana
    Alirezaei, Gholamreza
    Mathar, Rudolf
    2018 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2018,
  • [38] Power System Fault Detection and Classification Using Wavelet Transform and Artificial Neural Networks
    Malla, Paul
    Coburn, Will
    Keegan, Kevin
    Yu, Xiao-Hua
    ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT II, 2019, 11555 : 266 - 272
  • [39] Power System Fault Detection, Classification and Location Using the K- Nearest Neighbors
    Recioui, Abdelmadjid
    Benseghier, Brahim
    Khalfallah, Hamza
    2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2015, : 297 - U777
  • [40] Fault detection and classification in transmission lines based on a PSD index
    Guillen, Daniel
    Arrieta Paternina, Mario R.
    Ortiz-Bejar, Jose
    Tripathy, Rajesh Kumar
    Zamora-Mendez, Alejandro
    Tapia-Olvera, Ruben
    Tellez, Eric S.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (18) : 4070 - 4078