Electric Power ›› 2023, Vol. 56 ›› Issue (10): 171-178.DOI: 10.11930/j.issn.1004-9649.202303071

• Power System • Previous Articles     Next Articles

Smart Substation Optical Fiber Virtual and Real Loop Mapping and Fault Diagnosis Technology

Ming ZHONG1,2(), Jun TAO1,2, Xunyu LIU3, Yi YANG1,2, Bingyuan YANG4()   

  1. 1. Inner Mongolia Power Research Institute, Hohhot 010020, China
    2. Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System, Hohhot 010020, China
    3. Inner Mongolia Ultra High Voltage Power Supply Company, Hohhot 010000, China
    4. Inner Mongolia University of Technology, Hohhot 010051, China
  • Received:2023-03-15 Accepted:2023-06-13 Online:2023-10-23 Published:2023-10-28
  • Supported by:
    This work is supported by National Key Research and Development Program "Energy Storage and Smart Grid Technology" key special project (Research and Application of Key Technologies for Intelligent Collaborative Control of Large-scale Energy Storage System Clusters, 2021YFB2400703), Inner Mongolia Autonomous Region Science and Technology Project (Research and Demonstration Application of Multi-emergency Power Supply Networking Technology Under Disaster Conditions, No.2019GG373).

Abstract:

At present, most of the smart substation communication uses optical fiber to link the secondary equipment, and the link relationship between the devices is not intuitive, resulting in difficulty in monitoring and diagnosis. In order to solve the problems of secondary virtual loop visualization, loop status monitoring, fault location and fault type identification in the operation and maintenance of smart substations, a smart substation optical fiber virtual and real loop mapping solution is proposed based on the breadth-first search algorithm to realize the visual display of secondary virtual loop. At the same time, the breadth priority search algorithm is used to carry out fault inference and delimit the fault area. The D-S evidence theory is used to accurately locate the faults based on the mass data of smart substation and multi-information fusion, and the evidence table method is used to finally determine the fault types, thereby meeting the practical application needs of the operation and maintenance of secondary equipment in smart substations.

Key words: smart substation, virtual loop, breadth-first search, fault location, fault type identification, multi-information fusion, D-S evidence theory