Insulator contamination analysis based on laser-induced breakdown spectroscopy
Author:
Affiliation:

Clc Number:

TM85

Fund Project:

National Natural Science Foundation of China (51607101), Science and Technology Project of State Grid Shanxi Electric Power Company (SGSXDK00SPJS1900162)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Pollution flashover is one of the main factors threatening the safety of power system. In order to prevent pollution flashover accident,it is necessary to regularly analyze the contamination of insulator surface. However,the traditional power outage sampling method has a long detection period and consumes a lot of manpower and material resources. In this paper,a strategy and a model for the surface pollution analysis of insulators using laser-induced breakdown spectroscopy are proposed. 10 glass insulators with different equivalent salt deposit density (ESDD) and non-soluble deposit density (NSDD) are taken as research object,and the glass insulator's surface can be divided into inner,middle and outer ring. The calibration of coefficient of correlation of the model under different test strategy is studied,using Na 589.592 nm,Al 396.192 nm as characteristic spectral lines. The result shows that for ESDD,the coefficient of correlation can reach 0.948 1 when inner and middle rings are selected as test objects. And the relative error of detection is within 5%. For NSDD,the coefficient of correlation can reach 0.938 3 when middle ring is selected as test object. And the relative error of detection is within 15%. The analysis method can realize the quick on-site analysis of insulator surface contamination and improve the operation ability of transmission line operation safety maintenance,which has important engineering application value.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 01,2022
  • Revised:March 30,2022
  • Adopted:May 25,2021
  • Online: May 24,2022
  • Published: May 28,2022
Article QR Code