@ARTICLE{Su_Zhaoxu_Dynamic_2022,
 author={Su, Zhaoxu and Tian, Mingxing and Sun, Lijun and Zhang, Ruopeng},
 volume={vol. 71},
 number={No 2},
 journal={Archives of Electrical Engineering},
 pages={379-395},
 howpublished={online},
 year={2022},
 publisher={Polish Academy of Sciences},
 abstract={The operating temperature of the transmission line in the traction network is affected by geographical and climatic factors, especially the wind speed. To make better use of the thermal stability transmission capacity of the traction power supply system in improving the short-term emergency transmission capacity, the dynamic rating technology is introduced into the traction power supply system. According to the time-varying characteristics of the actual wind speed, a dynamic rating method of the traction network based on wind speed prediction is proposed and constructed. Based on the time series model in predicting the wind speed series along the corridor of the traction network, the temperature curve of each transmission line under different currents is calculated by combining it with the heat balance equation of an IEEE-738 capacity expansion model, thus the relationship between the peak operating temperature and current of each transmission line in the prediction period is obtained. According to the current distribution coefficient, the capacity increase limit of the traction network is determined. The example shows that the proposed dynamic rating method based on wind speed prediction is an effective method to predict the short-term safe capacity increase limit of the traction network, which can increase the comprehensive capacity of the traction network by about 45% in the next six hours, and the capacity increase effect is obvious, which can provide reference and technical support for short-term emergency dispatching of traction power supply dispatching centres.},
 type={Article},
 title={Dynamic rating method of traction network based on wind speed prediction},
 URL={http://czasopisma.pan.pl/Content/123211/PDF-MASTER/art07_internet.pdf},
 doi={10.24425/aee.2022.140717},
 keywords={dynamic thermal rating, IEEE-738, short-term emergency dispatch, time series model, traction power supply, wind speed prediction},
}