逆向诊断劣质绝缘子的快速优化算法分析

Analysis of fast optimization algorithm for inverse detecting faulty insulators

针对劣质绝缘子电场逆问题计算量大的缺点,在传统模拟电荷法建模的基础之上采用快速多极子算法对其进行预处理,给出了基本计算原理,并采用Tikhonov正则化方法处理因测量数据干扰引起的逆问题解的不适定性,以及采用牛顿迭代法搜索逆问题的最优解,得到绝缘子模型的场源参数,从而实现对劣质绝缘子的检测。通过构造基本点电荷系模型对该快速优化算法进行可行性验证,最后将该算法应用于110kV猫头型三相绝缘子串的一相绝缘子进行了实例计算,结果表明:该快速优化算法能够快速有效地实现对劣质绝缘子的在线诊断。

In order to improve the computational efficiency of the insulator electric field inverse problem,the fast multi-pole method has been introduced to the traditional simulation charge method.Tikhonov regularization is used to process the ill-posed characteristic of inverse problem solution caused by the interference.Newton method is used to search the optimum solution,and then the actual field source parameters of insulators and the practical voltage distribution on the surface of the insulators can be obtained.The fast optimization algorithm has been verified in point charge model.And 110 kV insulator string is carried out to demonstrate that the fast optimization algorithm is much faster and more efficient than traditional method.