Optical fiber composite overhead ground wire (OPGW), which consists of ground wire and optical fibers, plays an important role at electric power communication system. In daily operation, due to bad low temperature, OPGW will be covered by ice, which will lead to OPGW galloping and sleet jump of the wire. Meanwhile, OPGW icing can also make the wire with strain, which has the possibility of fiber fracture. Therefore, it is very important to judge and predict the state of OPGW icing. In this paper, a prediction model of ice coating thickness of OPGW based on multi-class Support Vector Machine (SVM) is proposed. In this model, the optical cable icing data measured in actual operating environment and laboratory simulation experiments are used as the data set to construct the prediction model.
An overhead ground wire is used for both communication and power transmission and is crucial for the long-term operation of power grids. The temperature variations in overhead ground wires under a lightning strike were analyzed using an optical frequency-domain reflectometer. During lightning, the relationship between the peak temperature and the time can be considered a double-exponential distribution. The temperature distribution over time for the overhead ground wire was considered a Gaussian distribution, where the R-squared coefficient was ∼0.95. Moreover, we used the −3 dB bandwidth of the temperature curve at each moment as the lightning temperature influence range for the overhead ground wire. The temperature influence was considered a quadratic function distribution, where the R-squared coefficient was ∼0.98. The characterization of the temperature variation of the lightning struck-overhead ground wire can provide a basis for distributed optical fiber measurement systems to accurately monitor the location and intensity of lightning strikes and can be potentially used to ensure the safety of transmission lines.
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