A feasibility study on electromagnetic interference on high-voltage transmission lines on wireless communication based on intelligent interference prediction algorithm
DOI:
https://doi.org/10.56294/dm2026817Keywords:
High Voltage Transmission Lines, Electromagnetic Environment, Radio Communication, Machine Learning, Electromagnetic Interference PredictionAbstract
Introduction: In general, high-voltage transmission lines create complex electromagnetic environments that may interfere with radio communication systems operating in nearby corridors.
Method: This study presents a pilot-scale proof-of-concept framework, termed the Intelligent Interference Prediction Algorithm (IIPA), for predicting electromagnetic interference using ensemble machine learning techniques.
Results： The experimental dataset used in this work consists of only N = 10 field observations collected near high-voltage transmission infrastructure. Due to this severe data limitation, Leave-One-Out Cross Validation (LOOCV) is employed as a pragmatic evaluation strategy. All reported performance metrics in this study must therefore be interpreted as preliminary, statistically unstable, and not representative of generalizable predictive capability.
Conclusions: The contribution of this work is not to provide a validated predictive solution but to demonstrate the feasibility of integrating physical-domain features with ensemble learning methods for electromagnetic-interference assessment and to highlight the urgent need for large-scale public EMI datasets for future research.
References
[1] Liu, C. Y.; Wu, Y. Q.; Liu, J. J.; Sun, Z.; Xu, H. J. Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model. Appl. Sci., 2021, 11, 4647.
[2] Panagopoulos, D. J.; Karabarbounis, A.; Yakymenko, I.; Chrousos, G. P. Human-made electromagnetic fields: Ion forced-oscillation and voltage-gated ion channel dysfunction, oxidative stress and DNA damage (Review). Int. J. Oncol., 2021, 59. DOI:10.3892/ijo.2021.5272.
[3] Beshir, A. H.; Wan, L.; Grassi, F.; Crovetti, P. S.; Liu, X. K.; Wu, X. L.; El Sayed, W.; Spadacini, G.; Pignari, S. A. Electromagnetic interference of power converter with random modulation on the power line communication system. Electronics, 2021, 10, 2979.
[4] Thotakura, N. L.; Wu, Y. R.; Mignardot, D.; Zhang, L.; Qiu, W.; Markel, L. C.; Liao, D. H.; McConnell, B. W.; Liu, Y. L. Impact analysis of high-altitude electromagnetic pulse coupling effects on power grid protection relays. Electronics, 2024, 13, 1336.
[5] Fahmani, L.; Garfaf, J.; Boukhdir, K.; Benhadou, S.; Medromi, H. Modelling of very high voltage transmission lines inspection’s quadrotor. SN Appl. Sci., 2020, 2, 1425.
[6] El Hajji, M.; Mahmoudi, H.; Labbadi, M. The electromagnetic interferance caused by high voltage power lines along the electrical railway equipment. Int. J. Electr. Comput. Eng. IJECE, 2020, 10, 4581.
[7] Balametov, A., Isayeva, T., & Salimova, A. PROGRAM FOR MODELING ELECTROMAGNETIC COMPATIBILITY OF OVERHEAD POWER LINES. Norwegian Journal of Development of the International Science 2024, 127, 97.
[8] Dianovský, R., Pecho, P., Veľký, P., & Hrúz, M. Electromagnetic radiation from high-voltage transmission lines: Impact on UAV flight safety and performance. Transportation research procedia, 2023,75, 209-218.
[9] Buyakova, N. V., Kryukov, A. V., Seredkin, D. A., & Suslov, K. V. (2021, May). Influence of spatial arrangement of wires on electromagnetic ecology near high-voltage power transmission lines at a railway station. In IOP Conference Series: Materials Science and Engineering (Vol. 1151, No. 1, p. 012039). IOP Publishing.
[8] Dianovský, R.; Pecho, P.; Veľký, P.; Hrúz, M. Electromagnetic radiation from high-voltage transmission lines: Impact on UAV flight safety and performance. Transp. Res. Procedia, 2023, 75, 209–218.
[10] Li, X., Wang, S., Li, H., Zhou, Y., & Guo, H. Electromagnetic interference of unmanned aerial vehicle in high voltage environment. In Journal of Physics: Conference Series (2024, 2522, (1),12034). IOP Publishing.
[11] Wu, S. Y.; Yang, X. F.; Tang, B.; Wang, F.; Cai, C. L. Analysis of influence factors and influence law of scattering electric field of high voltage transmission line in short wave frequency band. IEEE Access, 2024, 12, 67632–67640.
[12] Tao, F., Li, J., Wei, C., Wu, Y., Lu, Y., & Lin, Y. Analysis of Monitoring System of Partial Discharge Electromagnetic Interference in Ultra-high Voltage Substation Environment. In IOP Conference Series: Earth and Environmental Science (2020, 440(3), 032066). IOP Publishing.
[13] Jakubowski, K.; Paś, J.; Rosiński, A. The issue of operating security systems in terms of the impact of electromagnetic interference generated unintentionally. Energies, 2021, 14, 8591.
[14] Liang, T.; Xie, Y. Z. Maximizing radiated high-power electromagnetic threat to transmission line system under the constraints of bounded bandwidth and amplitude. IEEE Trans. Electromagn. Compat., 2021, 63, 840–847.
[15] Fan, Y. J.; Zhang, L.; Li, K. EMI and IEMI impacts on the radio communication network of electrified railway systems: A critical review. IEEE Trans. Veh. Technol., 2023, 72, 10409–10424.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Changqing Wu, Yaoyu Ma, Jie Pi (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
