高压架空输电线路绝缘子串抗风偏性能自动测试方法

为了提高高压架空输电线路绝缘子串抗风偏性能,需要进行高压架空输电线路绝缘子串抗风偏性能自动测试,提出一种基于防风偏智能分析数学建模的高压架空输电线路绝缘子串抗风偏性能方法,根据线路防风偏设计标准,参考设计风偏系数,结合架空输电线路绝缘子类型、绝缘子结构高度、绝缘子串、导线距杆塔最小电气安全距离等参数构建性能测试的约束参量模型,根据线路运行经验,进行防风偏智能分析数学模型设计,结合特征分析和智能算法对高压架空输电线路绝缘子串的抗风偏能力进行计算分析。结果表明,采用该方法能有效实现对高压架空输电线路绝缘子串抗风偏性能自动测试,计算结果准确可靠,提高了高压架空输电线路绝缘子串抗风偏性能,对架空输电线路绝缘子串的抗风性能参数的准确估计能力较好。

An automatic test method for wind deviation resistance of insulator string in HV overhead transmission line

In order to improve the anti-wind deviation performance of high voltage overhead transmission line insulator string,it is necessary to carry out automatic test on the wind deviation resistance performance of high voltage overhead transmission line insulator string.A method of anti-wind deviation performance of high voltage overhead transmission line insulator string is presented based on intelligent analysis mathematical model of windproof bias.According to the design standard of line windproof deviation,referring to the design wind deviation coefficient and combining with the type of insulator of overhead transmission line,the parameters such as the height of insulator structure,insulator string,minimum electrical safety distance between conductor and tower are used to construct the constraint parameter model of performance test.According to the operation experience of the line,the intelligent analysis mathematical model of windproof bias is designed.Combined with characteristic analysis and intelligent algorithm,the anti-wind deviation ability of insulator string of HV overhead transmission line is calculated and analyzed.The results show that this method can effectively realize the automatic test of the anti-wind deviation performance of high voltage overhead transmission line insulator string,the calculation result is accurate and reliable,and the anti-wind deviation performance of the high voltage overhead transmission line insulator string can be improved.The wind performance parameters of insulator string of overhead transmission line are estimated accurately.