Micro-Meteorology Features Extraction and Status Assessment for Transmission Line Icing Based on Intelligent Algorithms

摘要

How to predict and assess the threat status of icing load to power transmission lines are very important for the reliability and safety of power grid. A method based on intelligent algorithms, such as Kohonen Self-Organizing Map (KSOM) and fuzzy reasoning, is presented here to extract the micro-meteorology features, which impact the process line icing, and assess the threat status for the process of transmission line icing. According to the results of simulation in the icing process of Tao-Luo-Xiong Line, the micro-meteorology features and the threat status can be acquired conveniently.