Distributed Fast Fault Detection in DC Microgrids

被引:18
|
作者
Mola, Mina [1 ]
Afshar, Ahmad [2 ]
Meskin, Nader [3 ]
Karrari, Mehdi [2 ]
机构
[1] Amirkabir Univ, Dept Elect Engn, Tehran 158754413, Iran
[2] Amirkabir Univ Technol, Fac Elect Engn, Tehran 158754413, Iran
[3] Qatar Univ, Fac Elect Engn, Doha 2713, Qatar
来源
IEEE SYSTEMS JOURNAL | 2022年 / 16卷 / 01期
关键词
DC microgrid; fault detection (FD); linear matrix inequality (LMI); multiobjective optimization; DETECTION OBSERVER DESIGN; OPTIMIZATION; DIAGNOSIS; SIGNAL; MODEL;
D O I
10.1109/JSYST.2020.3035323
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of distributed fast fault detection for a direct current (dc) microgrid that is composed of multiple interconnected distributed generation units (DGUs) is addressed in this article. A local fault detector is designed for each DGU based on the measured local state of the subsystem as well as the transmitted variables of neighboring measurements, which forms the fault detection network. Indeed, each DGU not only can detect its own fault, but also is capable of detecting its neighbor's faults. Toward this end, a multiobjective optimization problem formulation based on the H-infinity/H-/egional pole placement performance criteria is presented and it is solved using linear matrix inequality approach to obtain the parameters of the distributed fault detectors and the optimal amount of the performance indices. The convergence rate of the fault detection observer is improved with the proposed method which leads to fast fault detection in the de microgrid system. The effectiveness and capabilities of the proposed methodology are demonstrated through a simulation case study.
引用
收藏
页码:440 / 451
页数:12
相关论文
共 50 条
  • [1] Arc Fault Detection in DC Microgrids
    Strobl, Christian
    2015 IEEE FIRST INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), 2015, : 181 - 186
  • [2] Series DC Arc Fault Detection in DC Microgrids Based on Distributed Unknown Input Observers
    Yang, Ge
    Marepalli, Lalit Kishore
    Herrera, Luis
    Yao, Xiu
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 4766 - 4781
  • [3] A Distributed High-Impedance Fault Detection and Protection Scheme in DC Microgrids
    Yadegar, Meysam
    Zarei, Seyed Fariborz
    Meskin, Nader
    Blaabjerg, Frede
    IEEE TRANSACTIONS ON POWER DELIVERY, 2024, 39 (01) : 141 - 154
  • [4] Fault Detection and Fault Tolerance Mechanism for DC/DC Converters in Microgrids
    Muresan, Vlad
    Moga, Daniel
    Petreus, Dorin
    Abrudean, Mihail
    Stroia, Nicoleta
    Moga, Rozica
    IFAC PAPERSONLINE, 2018, 51 (28): : 666 - 671
  • [5] Fast Distributed Model Predictive Control for DC Microgrids
    Marepalli, Lalit Kishore
    Gajula, Kaushik
    Herrera, Luis
    2020 IEEE 21ST WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL), 2020, : 419 - 424
  • [6] Fast distributed control design for DC linked microgrids
    Nabi, B.
    Seyedtabaii, S.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 122 (122)
  • [7] High Impedance Fault Detection and Isolation in DC Microgrids
    Subramaniam, Karthikeyan
    Illindala, Mahesh S.
    2019 IEEE/IAS 55TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2019, : 435 - 442
  • [8] Model-Based Fault Detection in DC Microgrids
    Salimi, Asaad
    Batmani, Yazdan
    Bevrani, Hassan
    2019 SMART GRID CONFERENCE (SGC), 2019, : 118 - 123
  • [9] Fast Fault Detection and Isolation in Low-Voltage DC Microgrids Using Fuzzy Inference System
    Abdali, Ali
    Mazlumi, Kazem
    Noroozian, Reza
    2017 5TH IRANIAN JOINT CONGRESS ON FUZZY AND INTELLIGENT SYSTEMS (CFIS), 2017, : 172 - 177
  • [10] Modular protection system for fault detection and selective fault clearing in DC microgrids
    Klosinski, Christoph
    Ross, Patrick
    Hemdan, Nasser
    Kurrat, Michael
    Gerdinand, Frank
    Meisner, Johann
    Passon, Stephan
    Heinrich, Alexander
    JOURNAL OF ENGINEERING-JOE, 2018, (15): : 1321 - 1325