Open AccessOptimisation electric field inverse solving algorithm for non‐destructive detection of voltage on transmission lines
Author(s) -
Wang Ru,
Tian Jin,
Wu Fei,
Zhang Zhenhua,
Liu Haishan,
Gong Li
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0459
Subject(s) - robustness (evolution) , electric power transmission , algorithm , electric field , inverse , correctness , inverse problem , voltage , kalman filter , computer science , transmission line , electronic engineering , engineering , mathematics , electrical engineering , physics , telecommunications , mathematical analysis , biochemistry , chemistry , geometry , quantum mechanics , artificial intelligence , gene
Electromagnetic field inverse calculation plays a crucial role in solving the problem arising from the design and non‐destructive testing of electromagnetic devices in engineering. In this study, an optimisation algorithm for electric field inverse calculation is proposed, which enables non‐destructive detection of voltage on overhead transmission lines, enhances the robustness of the algorithm and improves the accuracy of calculation. Firstly, 2D and 3D calculation models of electric field are established. A multimedium calculation model with the operating environment of transmission lines considered is proposed. Based on the multimedium calculation method, the calculation environment is categorised into soil, vegetation, geology, and other media, and the correctness of the optimisation method is verified by the finite‐element method‐based model. Secondly, in order to eliminate the measurement noise and electric field distortion to the electric field measurement data, a modified model based on Kalman filter is constructed. Both multimedium calculation method and Kalman filter are applied to the inverse calculation of electric field as an optimisation electric field inverse solving algorithm. Finally, the inverse optimisation method is applied to 220 kV transmission lines and practical 500 kV ultra‐high voltage transmission lines, respectively, to improve the accuracy and robustness of calculation.