摘要
现有的覆冰地区输电线路的监测技术监测误差大、方式单一、自动化程度较低,为覆冰地区的电力杆塔倒塌、线路遭受破坏埋下隐患。针对这一情况,文章针对不同的杆塔类型提出了新型线路等值覆冰计算模型,设计了一种基于导线运动状态识别和倾角传感器的新型输电线路覆冰监测装置。所提方法将导线舞动实际情况视作自由单摆简谐运动,从而使倾角传感器能够在15°的摆幅角度变化下测量出采样角度值用于计算,并利用滑动平均法和去极值法将样本数据进行修正。装置的电源侧利用太阳能和超级电容作为电源,使用最大功率点跟踪(MPPT)技术提高太阳能能效,利用GPRS技术进行数据传输,于2018年11月7日至2018年11月12日期间在贵州电力科学研究院六盘水梅花山防冰基地2、3号塔上的220 kV、500 kV侧安装运行,验证了所提方法及设计装置的有效性和可行性。
The existing monitoring system of tower tilt in icing region has the disadvantages of the poor detecting effect,single detection means,low automation,which has planted a hidden danger for tower collapses and power transmission lines damage in icing area.In view of this situation,this paper proposes a new type of line equivalent icing calculation model for different tower types,and designs a new type of transmission line icing monitoring device based on wire motion identification and inclination sensor.In this method,the actual situation of conductor galloping is regarded as a simple harmonic motion of free single pendulum,so that the angle sensor can measure the sampling angle value under the change of swing angle of 15°for calculation,and the sample data can be modified by the sliding average method and the extremum removal method.The power side of the device uses solar energy and super-capacitors as power sources,uses MPPT technology to improve solar energy efficiency,and uses GPRS technology for data transmission,the device was installed and operated on 220 kV and 500 kV sides of tower 2 and Tower 3 of Meihuashan anti ice base,Liupanshui,Guizhou Electric Power Research Institute during November 7th-12th 2018.The results show that the device can available and feasible for monitoring icing transmission line.
作者
殷蔚翎
黄良
YIN Weiling;HUANG Liang(College of Electrical Engineering,Guizhou University,Guiyang 550025 Guizhou,China;Electric Power Research Institute of Guizhou Power Gird Co.,Ltd.,Guiyang 550000 Guizhou,China)
出处
《电力大数据》
2020年第1期14-20,共7页
Power Systems and Big Data
关键词
导线覆冰
等值覆冰计算
倾角
导线运动状态识别
最大功率点跟踪
conductor icing
equivalent icing thickness
inclination
conductors motion state recognition
maximum power point tracking