Application of European fine-grid numerical forecasting products for deviation analysis along transmission lines
Year: 2024
Type: conference-paper
Abstract: Aiming at the current problem of lack of objective prediction products for deviation prediction along transmission lines, a deviation prediction model is established based on the historical statistical characteristics of deviation of transmission lines by using European fine-grid numerical prediction products and actual observation data. The model is combined with the operation specification of transmission lines, and the European fine-grid numerical prediction product is revised by using the normalization method to obtain a more accurate deviation prediction product. By analyzing the differences between the European fine-grid numerical prediction product and the actual observation data, the deviation prediction software is established, which can effectively improve the prediction accuracy and stability of the deviation situation of transmission lines. The results show that the software has good prediction performance and can effectively reduce the false alarm rate and omission rate of transmission line deviation prediction and improve the reliability and stability of the power grid.
Authors: Weidong Liu, Guozhu Yang, Maojie Tian, Wei Hu, Pingkai Fang, Enhui Wei
Institution: State Grid Corporation of China (China)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404068724