Abnormal location of OPGW cable downlead in substation under weak signal reconstruction
As an important transmission channel of substation operation information, OPGW optical cable has a wide range of anomalies at the down lead grounding point. When the location range of anomalies is infinitely close to the operation scene, the scattered signal is weak, which cannot meet the maintenance requirements of long-distance OPGW optical cable. Therefore, this paper puts forward the abnormal location of OPGW cable downlead in substation under weak signal reconstruction. Through real-time monitoring equipment, the abnormal location operation scene information of OPGW optical cable downlead in substation is obtained, the geographical coordinate system is established with the monitoring point as the origin, a reference point coordinate is preset, the geometric model of three-dimensional imaging of the monitoring point is established, the pretreatment operation scene information is obtained, the weak signal is fused, the curvature of the peak waveform of the scattered signal is calculated, the scattered signal is optimized, the characteristics of the scattered signal are distinguished from the standard sine waveform and the standard cosine waveform, and the fusion result of the weak signal with a sharp drop in signal amplitude is identified to obtain the abnormal position of the OPGW optical cable downlead. The experimental results show that after the application of this method, the positioning accuracy is high, the highest can reach 0.99, and the effective distance of abnormal position is 300km. This method can meet the maintenance requirements of long-distance OPGW optical cable, and is beneficial to substation operation and management.
Authors
- Shihua Wang (ORCID: https://orcid.org/0009-0004-7146-933X)
- Huang Yuan (ORCID: https://orcid.org/0000-0001-9677-8295)
- Lei Peng (ORCID: https://orcid.org/0000-0002-4077-4575)
- Yang Wu (ORCID: https://orcid.org/0000-0003-3903-0111)
- Jing Yuan (ORCID: https://orcid.org/0000-0001-6162-0025)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/eeice65049.2025.11034195
- Primary Topic
- Power Systems Fault Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00