Electric Power ›› 2024, Vol. 57 ›› Issue (7): 188-195.DOI: 10.11930/j.issn.1004-9649.202401026

• Power System • Previous Articles     Next Articles

Adaptive Understanding Framework and Key Technology of Power Grid Fault Disposal Information

Bo TIAN1(), Yue ZHANG2(), Fei MENG1, Lianfei SHAN2, Haiyang GAO1, Kun TIAN1, Yongtian QIAO2   

  1. 1. State Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, China
    2. Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China
  • Received:2024-01-03 Accepted:2024-04-02 Online:2024-07-23 Published:2024-07-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (No.5229NX2000083).

Abstract:

In order to improve the response capacity of power grid fault disposal, an adaptive understanding framework of fault disposal information is proposed. The framework is based on the constructed multi-task collaborative understanding model and the fault disposal knowledge graph to identify the power grid fault alarm, operation status, operation instruction and other information, and the fault disposal operation strategy is generated by reasoning adaptively. By establishing the evaluation index system and test data set of fault disposal information, the experimental effect of the adaptive understanding framework of fault disposal information and multi-task collaborative understanding model are verified.

Key words: fault disposal, multi-task collaborative, knowledge graph, adaptive reasoning