A Simple Approach of Fault Identification and Localization for Low-Voltage DC Microgrid

被引:0
|
作者
Chauhan, R. K. [1 ]
Rajpurohit, B. S. [1 ]
Wang, L. [2 ]
机构
[1] Indian Inst Technol Mandi, Sch Comp & Elect Engn, Mandi, India
[2] Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53201 USA
来源
2016 7TH INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE) | 2016年
关键词
DC microgrid protection; SCADA; fault detection; fault localization; OVERCURRENT PROTECTION; SYSTEMS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
DC microgrid provides the horizontal infrastructures to integrate distributed generation (DG) and loads. The protection of DC microgrid is a quite challenging task. Unlike conventional AC system, the DC system cannot survive or sustain high-magnitude fault currents. The nodal analysis with overcurrent (NAOC) scheme is proposed for fault detection and isolation in the service main and DC bus without de-energizing the complete low voltage DC microgrid. This avoids the complete shutdown of the DC bus with continuity of supply through other buses due the use of ring main DC bus. The algorithm for fault location and finding its resistance are also developed. The proposed scheme has been verified with the computer simulations. The proposed algorithm is implemented, executed and analyzed by supervisory control and data acquisition (SCADA) system at individual nodes during different faults conditions. It is found that the DC microgrid is protected at DG zones, service main fault zones and the DC bus fault zones with the proposed algorithm.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Active disturbance rejection control based distributed secondary control for a low-voltage DC microgrid
    Liu, Shuo
    You, Honghao
    Li, Jianlin
    Kai, Shanjin
    Yang, Liyong
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2021, 27
  • [22] New Fault Detection Method for Low Voltage DC Microgrid with Renewable Energy Sources
    Kyung-Min Lee
    Chul-Won Park
    Journal of Electrical Engineering & Technology, 2022, 17 : 2151 - 2159
  • [23] New Fault Detection Method for Low Voltage DC Microgrid with Renewable Energy Sources
    Lee, Kyung-Min
    Park, Chul-Won
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2022, 17 (04) : 2151 - 2159
  • [24] A Parameter Identification Approach to Series DC Arc Fault Detection and Localization
    Herrera, Luis
    Yao, Xiu
    2018 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2018, : 497 - 501
  • [25] Protection Algorithm for Fault Identification and Isolation in DC Microgrid
    Reddy N.N.
    Velpula R.
    Raja P.
    Moorthi S.
    Distributed Generation and Alternative Energy Journal, 2023, 38 (02) : 691 - 714
  • [26] Fault identifiability and pseudo-data-driven fault localization in a DC microgrid
    Javed, Waqas
    Chen, Dong
    Kucukdemiral, Ibrahim
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 148
  • [27] Review of Research Progress on Characteristics, Detection and Localization Approaches of Fault Arc in Low Voltage DC System
    Xiong Q.
    Chen W.
    Ji S.
    Zhu L.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (18): : 6015 - 6026
  • [28] Current index based protection technique for low voltage DC microgrid
    Nareddy, Nageswara Reddy
    Pitchaimuthu, Raja
    Sridharan, Moorthi
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 220 : 1 - 11
  • [29] 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
  • [30] A New Impedance Relay for the Protection of Low Voltage DC Microgrid
    Bhargav, Reddipalli
    Bhalja, Bhavesh R.
    Gupta, Chandra P.
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,