Dynamic rating method of traction network based on wind speed prediction

• Autorzy: Su Zhaoux , Tian Mingxing , Sun Lijun , Zhang Ruopeng

Identyfikatory

DOI

10.24425/aee.2022.140717

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

dynamic thermal rating; IEEE-738; short-term emergency dispatch; time series model; traction power supply; wind speed prediction

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2022
• Tom: Vol. 71, nr 2
• Strony: 379--395
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Su Zhaoux

• School of Automation and Electrical Engineering, Lanzhou Jiaotong University China

autor

Tian Mingxing

• School of Automation and Electrical Engineering, Lanzhou Jiaotong University China

autor

Sun Lijun

• School of Automation and Electrical Engineering, Lanzhou Jiaotong University China

autor

Zhang Ruopeng

• School of Automation and Electrical Engineering, Lanzhou Jiaotong University China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).