摘 要:绝缘子作为输电线路中的绝缘和支撑部件,在电力网络中具有非常重要的作用,而且随着我国电力输电行业的大规模发展,高寒地区的输电是不可避免的问题，因此绝缘子的覆冰闪络问题已经成为电力行业急需解决的问题之一。
本文以人工实验为基础,通过对覆冰绝缘子闪络发生原因的分析，发现影响覆冰绝缘子闪络的因素有绝缘子所在位置的气压、冰水的电导率、绝缘子的污秽度（ESDD）和绝缘子的串长，因此以实验室得到关于LXZP-160型绝缘子的覆冰试验的数据为依据，利用径向基神经网络（RBF）建立了覆冰绝缘子最低闪络电压的预测模型。通过误差分析表明，该模型能够实现覆冰绝缘子最低闪络电压的预测，反映出覆冰水电导率、气压、ESDD和绝缘子串长与覆冰绝缘子最低闪络电压之间的非线性关系，对电力行业关于覆冰绝缘子外绝缘设计和预防闪络具有一定的参考价值。
关键词：覆冰；绝缘子；径向基神经网络 ；闪络电压； 污秽
ABSTRACT:Insulators as a special insulated control, in the transmission line has a very important role in the development of non-stop as the power transmission industry, the transmission of the alpine region is particularly important, therefore insulator the icing flashover problem has become the power industry inevitable and urgent problem.
In this paper, the study of the manual test methods for the analysis of the causes of ice-covered insulators flashover occurs, insulators, initially been the icing insulator flashover the risk factors for the air pressure of the insulator location, the conductivity of overlying ice water, insulators contamination degree (ESDD) and insulator string length, artificial climate chamber about LXZP-160-insulator icing test data obtained by laboratory Finally, use the RBF neural network (RBF) in MATLAB establishment of a follow-Iced Insulators minimum flashover voltage of predictive models. Error analysis, the initial realization of the prediction of the minimum flashover voltage of ice-covered insulators, the model can reflect the overlying ice water conductivity, pressure, ESDD and insulator string length and minimum flashover voltage of ice-covered insulators between a nonlinear the relationship between the electricity industry forecast on ice-covered insulators flashover voltage has a certain role.
Keywords: Iced Insulator；RBF network；Flashover voltage；Artificial test；Pollution
