MAGNETIC POLLUTION PRODUCED BY UNDERGROUND XLPE 220 KV POWER CABLE IN POWER PLANT

被引:0
|
作者
Bara I.R. [1 ]
Ayad A.N.E.I. [1 ]
Krika W. [2 ]
Fezazi O. [3 ]
Larouci B. [1 ]
机构
[1] Department of Electrical Engineering Laboratoire de Genie Electrique, Kasdi Merbah University, Ghardaia Road, P.O. Box 511, Ouargla
[2] Department of automatic, APELEC laboratory Djilali Liabes University, Sidi Bel Abbes
[3] Department of Electrical Engineering Djillali Liabes University, Sidi Bel Abbes
来源
Diagnostyka | 2024年 / 25卷 / 01期
关键词
cables; magnetic field; pollution; power; underground;
D O I
10.29354/diag/177323
中图分类号
学科分类号
摘要
The expansion of the electrical network necessitates the construction of new power plants and the extension of overhead and underground power transmission and distribution systems. However, underground power cables, such as XPLE 220 kV, can cause significant electromagnetic pollution, particularly in urban areas. This paper focuses on the evaluation and prediction of such magnetic emissions using analytical, numerical simulation (the finite element analysis), and experimental measurement. The paper aim is to minimize the magnetic emissions through the adjustment of the horizontal and vertical distances (x, y) of cables, serving as a technical solution. Additionally, the study investigated the impact of faults with varying magnitude and frequency, considering different loads and conditions. The simulation results indicate that several factors contribute to the escalation of magnetic pollution. These factors include a close proximity between cables, faults, and high current intensities.... However, as the distance between cables increases both horizontally and vertically, the strength of the magnetic field decreases, leading to a reduction in magnetic pollution. A comparison was carried out to assess the magnetic emissions of the underground cable, revealing a notable resemblance between the measured and calculated values. Ultimately, the validated simulation model serves as a valuable tool for evaluating, predicting, and mitigating electromagnetic pollution under different fault conditions and positions. © 2023 by the Authors.
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