Analysis and Application of Inverse Detecting Method Based on Local Electric Field
关键词:
Electric fields, fast multipole method, genetic algorithms, inverse problems, Tikhonov regularization摘要
This paper investigates the timeefficient fault detection problem with applications in electric fields. A novel inverse approach based on a non-trivial combination of the fast multipole scheme and traditional simulation charge method is proposed. The fundamental principle is to take several samples of the intensity in the given local electric field at properly selected known locations nearby. Electric accessories are then used to analyze the signals in the framework of the traditional simulation charge method. Moreover, a new genetic algorithm, combined with the Tikhonov regularization, is proposed to further speed up the inverse process of fault detection in electric fields. The performance of the proposed approach is evaluated by the simulation results for the computation of the distribution of voltages in 110 kV high-voltage insulator lines. The superiority of the new inverse approach, in terms of time efficiency and accuracy for fault detection, is demonstrated by the simulation results. The present work aims to stimulate future studies on fault detection in electric fields.
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