Solution of electromagnetic scattering field of adjacent transmission towers based on reciprocity theorem

被引:1
|
作者
Tang, B. [1 ,2 ]
Zhang, L. B. [1 ]
Shang, Z. Y. [1 ]
Wang, F. [1 ]
机构
[1] China Tree Gorges Univ, Coll Elect Engn & New Energy, Yichang 443002, Peoples R China
[2] Hubei Prov Engn Technol Res Ctr Power Transmiss Li, Yichang 443002, Peoples R China
基金
中国国家自然科学基金;
关键词
RERADIATION INTERFERENCE; LINES; COMPUTATION; RADIATION; MF;
D O I
10.1063/5.0189375
中图分类号
O59 [应用物理学];
学科分类号
摘要
Due to the large number of transmission towers being built, the dense distribution of transmission towers is inevitable in some areas. Densely distributed transmission towers will generate severe electromagnetic coupling, which will affect the setting of the passive interference protection distance between transmission towers and adjacent radio stations. Therefore, based on the traditional algorithm for solving the electromagnetic scattering field of a single electrically large target in wide area space, the electromagnetic coupling effect between multiple adjacent transmission towers within a range of 10 times the signal wavelength was considered. Based on the reciprocity relationship between the scattering electric field and the source and the introduced auxiliary field source as the intermediate variable, the electric field integral equation of the secondary scattering field generated by the electromagnetic coupling effect of adjacent transmission towers was derived, and the secondary scattering field is superimposed with the primary scattering field of the transmission generated by the electromagnetic wave excitation of the radio station, obtaining the electromagnetic scattering field at any point. In order to verify the accuracy of the algorithm proposed in this article, the scaled model experiments for the electromagnetic coupling effect between two transmission towers in an anechoic chamber were conducted. The average error of the algorithm proposed in this article is 6.73%, while the error of traditional algorithms is 20.18%. Compared with the traditional algorithm, the accuracy of the proposed algorithm is improved by 13.45%.
引用
收藏
页数:8
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