An Ice-Coating Predict System of Transmission Lines Based on the Improved Neural Network
Due to the various weather conditions and the diverse geographical environments, ice disaster is unavoidable in many regions of China. The phenomena of ice-coating lead to quick and massive increment of the weight of transmission lines, resulting in wire breakage, tower toppling, flashover and other accidents. Therefore, it is of great significance to improve the capability of predicting and combating these serious disasters. This paper proposes to predict the thickness of ice-coating using an improved neural network. Based on analysis of the near-term meteorological parameters, including temperature, humidity and wind velocity, etc., problems in electricity transmission are effectively predicted and prevented.
Ice disaster Transmission lines Neural network Ice-coating predict
Jing Zhou Longfei Gu Zhengtian Lai Jing Teng
School of Control and Computer Engineering, North China Electric Power University Beijing, China Great Power Electric Science and Technology Stock CO.LTD, State Grid Information & Telecommunication
国际会议
厦门
英文
831-834
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）