基于大数据的输电线路温度分析与预测

Temperature Analysis and Prediction of Transmission Line Based on the Large Data

为克服湖州地区输电线路数量多、分布范围广,以及人工测温人员少、任务重的现状,开展线路温度全年趋势预测.研究中选取10条湖州电网220kV输电线路2015年的环境温度、线路负荷数据参数,通过建立关系模型得出这些线路在2015年间线路温度的变化趋势,找出线路温度的重点预警线路并进行分析研究,为线路测温工作提供有针对性、高效减负的建议和对策.

In order to overcome current difficult situation that there are a large number and wide distribution of transmission lines,heavy load of work and a lack of staff in Huzhou area,it is very important to carry out the annual trend forecast of the line temperature,which is very important for the temperature monitoring of the important lines.In this study,the environmental temperature and load data parameters of 10 220 kV transmission lines in Huzhou power grid have been selected.By establishing a relational model,the trend of the line temperature of these lines during 2015 is obtained,the key early warning lines of the line temperature are identified,and analysis and research are conducted to provide targeted and efficient suggestions and countermeasures for line temperature measurement work.