摘要
现有检测导线温度的方法存在计算困难、精度偏低且不稳定等问题。导线的温度除了受负荷影响外,还受风、日照等气候条件的影响,并且与导线张力也有关系。文中通过现场试验,研究了导线温度与负荷、导线张力及气候等因素的关系,并将非线性问题转化为线性问题,通过统计学的回归方法,建立了多因素共同决定的导线温度数学模型。对一条已安装动态提高输电线路输送容量(DLR)系统的110kV线路的现场运行数据进行了分析验算,验证了该方法计算导线温度的有效性和实用性,同时也说明文中建立的数学模型能够较准确地描述线路运行参数与气象条件变化之间的关系,对研究线路的运行参数和运行状态具有指导意义。
It＇s difficult to accurately calculate the value of the conductor temperature using the currently available methods since it is not only influenced by the line load, but also related to tension and environmental factors such as wind speed, wind directions, and sunshine. Based on an investigation on the relationship between them and by transforming a nonlinear issue into a linear one, a mathematical model for the conductor temperature is developed using the multiple logistic regression analysis. Field results show that this conductor temperature model is effective in describing the relationship between the line state parameters and environment and calculating the average conductor temperature.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第5期40-44,共5页
Automation of Electric Power Systems
关键词
输电线路
动态输送容量
导线温度
回归模型
transmission line
dynamic line rating （DLR）
conductor temperature
regression model
