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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1571485
This article is part of the Research Topic Advancements in Power System Condition Monitoring, Fault Diagnosis and Environmental Compatibility View all 16 articles
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High-voltage direct current transmission line is an integral part of the power system, but the ion flow field and total electric field it generates can be harmful. Moreover, two of the most critical indicators for evaluating environmental compatibility, ion current density ρj and total electric field strength E, can be affected by wind. The difficulty in monitoring and modeling the ion flow and wind coupling field makes the recent research considering only transverse winds, which is not able to take into account the wind directions, and cannot model the actual situation accurately for monitoring and analysis. For this reason, this paper takes the ±800kV Jinsu Line in Huzhou as an example and constructs a 3-D monitoring model using the finite element method. The nonlinear mapping relationship between the model-design parameters and the feature parameters is approximated by extreme learning machine, and the actual measurement results are used to invert the model-design parameters in order to modify the finite element model, so as to realize the precise monitoring of the ρj and E in different wind speeds and directions situation. The results show that the modified model can realize the condition monitoring of the electromagnetic environment of transmission lines with an improved accuracy of 20.86%, and some laws are discovered: the peak absolute value of ρj and E increase and then decrease with the increase of wind speed; at low wind speed, the smaller the included angle between the wind direction and the line direction is, the smaller the peaks are; at high wind speed, the smaller the included angle is, the peaks increase and then decrease.
Keywords: Power system, Transmission line, Condition monitor, Ion flow field, machine learning, Environmental compatibility
Received: 05 Feb 2025; Accepted: 07 Apr 2025.
Copyright: © 2025 Qin, Chen, Ren and Yin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ziyi Qin, Shanghai University of Electric Power, Shanghai, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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