摘要
冰雪灾害对输电线路造成的负面影响极大,尤其是不利于架空输电线路安全运行。为更好地保障架空输电线路在极端天气下的安全性和稳定性,本文全面分析了架空输电线路覆冰后的状态;然后,基于经典粒子群算法和优化粒子群算法,对架空输电线路在极端天气状况下的覆冰厚度进行了预测和分析。经过研究发现,采用经典粒子群算法和优化粒子群算法,经过优化后的参数模型预测精确度明显提高,更适合实际工程应用。
Ice and snow disaster has a great negative impact on transmission lines,especially is not conducive to the safe operation of overhead transmission lines.In order to better ensure the safety and stability of overhead trans-mission lines in extreme weather,this paper comprehensively analyzes the status of overhead transmission lines after icing;then,based on the classical particle swarm optimization algorithm and optimized particle swarm optimization algorithm,the icing thickness of overhead transmission lines in extreme weather conditions is predicted and ana-lyzed.It is found that the prediction accuracy of the optimized parameter model is significantly improved by using the classical particle swarm optimization algorithm and the optimized particle swarm optimization algorithm,which is more suitable for practical engineering application.
作者
黄捷
HUANG Jie(State Grid Hubei Jingzhou Power Supply Company,Jingzhou 434000,China)
出处
《电气开关》
2020年第5期29-31,41,共4页
Electric Switchgear
关键词
输电线路
覆冰舞动
改进型粒子群算法
transmission line
icing wave
improved particle swarm optimization algorithm
