Electric Power ›› 2023, Vol. 56 ›› Issue (10): 194-201.DOI: 10.11930/j.issn.1004-9649.202303067

• New Energy • Previous Articles     Next Articles

Automatic Generation Technology of Safety Measures for Digital Substation Based on Improved Support Vector Machine

Yabing YAN1(), Xu CHU2, Haolong XIAO1, Wenwu LIANG1, Hui LI1, Zhenxing XIA3   

  1. 1. State Grid Hunan Electric Power Company Research Institute, Changsha 410007, China
    2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
    3. Wuhan Kemov Electric Co., Ltd., Wuhan 430223, 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 Natural Science Foundation of China (No.U22B20106).

Abstract:

A digital substation safety measure automatic generation technology based on improved support vector machine is proposed to address the low efficiency of secondary maintenance safety measures in digital substations. Firstly, construct a secondary circuit model and equipment model based on adjacency matrix, and further integrate the secondary security measure rule library to form a sample dataset; Secondly, support vector machines were used to classify secondary security measures, and bacterial foraging algorithms were introduced to optimize penalty factors and kernel parameters, effectively improving the training effectiveness of the automatic generation model for security measures; Finally, the effectiveness of the proposed method was verified through numerical examples.

Key words: digital substation, secondary circuit model, secondary device model, improved support vector machine