Dynamic Thermal Rating of Overhead Transmission Lines Based on GRAPES Numerical Weather Forecast

  • Yan, Hongbo (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Wang, Yanling (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Zhou, Xiaofeng (Dept. of Mechanical and Electrical engineering, Weihai Vocational College) ;
  • Liang, Likai (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Yin, Zhijun (Shandong Inspur Software Company Limited) ;
  • Wang, Wei (School of Electrical Engineering and Automation, Shandong University of Science and Technology)
  • 투고 : 2017.09.05
  • 심사 : 2018.10.30
  • 발행 : 2019.08.31


Dynamic thermal rating technology can effectively improve the thermal load capacity of transmission lines. However, its availability is limited by the quantity and high cost of the hardware facilities. This paper proposes a new dynamic thermal rating technology based on global/regional assimilation and prediction system (GRAPES) and geographic information system (GIS). The paper will also explore the method of obtaining any point meteorological data along the transmission line by using GRAPES and GIS, and provide the strategy of extracting and decoding meteorological data. In this paper, the accuracy of numerical weather prediction was verified from the perspective of time and space. Also, the 750-kV transmission line in Shaanxi Province is considered as an example to analyze. The results of the study indicate that dynamic thermal rating based on GRAPES and GIS can fully excavate the line power potential without additional cost on hardware, which saves a lot of investment.


Dynamic Thermal Rating;Global/Regional Assimilation and Prediction System (GRAPES);Meteorological Data;Power Grids;Thermal Load Capacity;Transmission Line


연구 과제 주관 기관 : National Natural Science Foundation of China


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