Automatic fault detection method for smart grid energy routing nodes

被引:0
|
作者
Cheng, Pu [1 ]
机构
[1] Hebei Chem & Pharmaceut Coll, Shijiazhuang 050026, Peoples R China
关键词
Smart grid; Routing nodes; Fault detection; Power network system; ALGORITHM;
D O I
10.1007/s13198-023-01987-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Under the implementation of current hardware of the grid, faults appear frequently in routing nodes and require effective detection. This paper achieves accurate locating and isolation through the efficient detection of faults. Experiments show that it could not only improves the low detection rate and poor fault location accuracy of the current method, but also isolates faults and has strong reliability. The formulation of future development directions is as follows:(1) In order to further improve the quality of fault detection, the interference of grid can be removed in advance;(2) The repair content of the fault should be added to improve the fault detection process. The grid fault detection method based on the immune mechanism and the grid fault detection method based on the limited PMU have a low accuracy of fault location, especially the grid fault detection method based on the limited PMU, of which the fault location accuracy is far lower than the requirements of fault detection technology.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] A RF Energy Supply Method for End Nodes in Smart Buildings
    Ma, Li
    Chai, Ying
    Fu, Yingxun
    Zhang, Yongmei
    Zhang, Xiaohui
    IEEE ACCESS, 2019, 7 : 85392 - 85400
  • [42] A novel fault classification method based on neural network in smart grid
    Zhang T.
    Sun L.
    Liu J.
    Yu H.
    Sun, Lanxiang (sunlanxiang@sia.cn), 2018, Chinese Institute of Electrical Engineering (25): : 1 - 7
  • [43] Fault Detection, Classification And Location In Power Distribution Smart Grid Using Smart Meters Data
    Souhe, Felix Ghislain Yem
    Boum, Alexandre Teplaira
    Ele, Pierre
    Mbey, Camille Franklin
    Kakeu, Vinny Junior Foba
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2023, 26 (01): : 23 - 34
  • [44] Fault detection and classification using deep learning method and neuro-fuzzy algorithm in a smart distribution grid
    Mbey, Camille Franklin
    Kakeu, Vinny Foba
    Boum, Alexandre Teplaira
    Souhe, Felix Ghislain Yem
    JOURNAL OF ENGINEERING-JOE, 2023, 2023 (11):
  • [45] A Routing Optimization Method based on Risk Prediction for Communication Services in Smart Grid
    Zhao, Puyuan
    Yu, Peng
    Ji, Chenchen
    Feng, Lei
    Li, WenJing
    2016 12TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT AND WORKSHOPS(CNSM 2016), 2016, : 377 - 382
  • [46] Optimal Battery Control for Smart Grid Nodes
    Draegert, Andreas
    Eisenblaetter, Andreas
    Gamrath, Inken
    Werner, Axel
    OPTIMIZATION IN THE REAL WORLD: TOWARD SOLVING REAL-WORLD OPTIMIZATION PROBLEMS, 2016, 13 : 97 - 113
  • [47] Cloud Computing Platform Design and Machine Learning-Based Fault Location Method in Automatic Dispatching System of Smart Grid
    Guo, Ziming
    Guo, Haibo
    Mu, Yongzheng
    Peng, Yuexing
    Li, Xinpeng
    Gao, Xin
    Liu, Yong
    COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2019, 463 : 2124 - 2131
  • [48] Piezoelectric and electromagnetic hybrid energy harvester for powering wireless sensor nodes in smart grid
    Chen, Wang
    Cao, Yanlong
    Xie, Jin
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2015, 29 (10) : 4313 - 4318
  • [49] Piezoelectric and electromagnetic hybrid energy harvester for powering wireless sensor nodes in smart grid
    Wang Chen
    Yanlong Cao
    Jin Xie
    Journal of Mechanical Science and Technology, 2015, 29 : 4313 - 4318
  • [50] Non-isolated AC/DC Energy Converter for Smart Grid Sensor Nodes
    Brenkus, Juraj
    Stopjakova, Viera
    Chovanec, Jakub
    Lachkovic, Jan
    2018 23RD INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE), 2018, : 7 - 10