无迹卡尔曼滤波在电线积冰观测数据处理中的应用

摘要

Wire icing is a common natural phenomenon,and ice-covered conductors may cause power system calamity such as rupture of electricity lines,ice flashover trip et.al which can affect the normal production and life.Thus,observing the wire icing condition accurately and timely attaches great importance to guarantee normal operation of power grid.Based on the weighing type wire icing automatic observation system,it processed the observed data with UKF and evaluated the filtering effect compared with that of EKF.The results show that UKF algorithm has a good effect on the noise reduction of the original data,and its filtering effect is better than that of EKF.%电线积冰是一种普遍的自然现象,输电线路覆冰后可能会引起线路断裂、冰闪跳闸等电力灾害从而影响正常的生产生活,准确及时观测并发布电线积冰情况对保障电网正常运行具有重要意义.基于称重法原理设计的电线积冰自动观测系统,使用无迹卡尔曼滤波方法对系统观测数据进行滤波处理并与扩展卡尔曼滤波方法进行滤波效果对比评估.结果表明,无迹卡尔曼滤波算法在原始称重数据降噪中有着良好效果,其滤波效果优于扩展卡尔曼滤波方法.