In order to solve the problem of transmission line galloping caused by power meteorological disasters, a transmission line galloping probabilistic prediction method based on ensemble prediction was proposed. On the basis of studying the mechanism of transmission line galloping, 15 ensemble prediction products of the ensemble prediction business system (GRAPES_EPS) of China Meteorological Administration were used to analyze the transmission line galloping, and the hourly wind speed observation data of the national basic meteorological station in Xinjiang from July to September 2020 were used to test the prediction performance of the ensemble prediction products. At the same time, the feasibility of this method was tested by the equal-weighted probabilistic prediction method and the meteorological data from November 20 to 21 in North China as a real situation. The results show that ensemble prediction can not only accurately predict the time and place of transmission line galloping, but also predict the probability of galloping, which will inevitably provide more flexible galloping information for the power grid.

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A Probabilistic Prediction Method for Transmission Line Galloping Based on Ensemble Prediction

  • Guangyu Lan,
  • Xiaohui Wang,
  • Jinyu Wang,
  • Jingjing Cui

摘要

In order to solve the problem of transmission line galloping caused by power meteorological disasters, a transmission line galloping probabilistic prediction method based on ensemble prediction was proposed. On the basis of studying the mechanism of transmission line galloping, 15 ensemble prediction products of the ensemble prediction business system (GRAPES_EPS) of China Meteorological Administration were used to analyze the transmission line galloping, and the hourly wind speed observation data of the national basic meteorological station in Xinjiang from July to September 2020 were used to test the prediction performance of the ensemble prediction products. At the same time, the feasibility of this method was tested by the equal-weighted probabilistic prediction method and the meteorological data from November 20 to 21 in North China as a real situation. The results show that ensemble prediction can not only accurately predict the time and place of transmission line galloping, but also predict the probability of galloping, which will inevitably provide more flexible galloping information for the power grid.