ORIGINAL RESEARCH article
Front. Phys.
Sec. Interdisciplinary Physics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1603239
This article is part of the Research TopicGas Discharge and Dielectrics InsulationView all 4 articles
Prediction of Bundle-conductor Ampacity Based on Transformer-LSTM
Provisionally accepted
- China Energy Engineering Group Anhui Electric Power Design Institute Co., LTD., Anhui, China
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The traditional method cannot meet the demand of new power system for dynamic regulation of transmission lines. Based on finite element simulation and neural network, an overhead bundle-conductor dynamic bundle-conductor ampacity prediction method is proposed in this paper. Considering the four bundle-JL/G1A-400/35 steel-core aluminum stranded wire, the three-dimensional electric-thermal-fluid coupling model of the conductor is established by using the synergistic optimization of transformer and long-short-term memory neural network (LSTM). The results show that the mean square error and average absolute error of the proposed model are 31.14 and 6.93, respectively. Compared with the bidirectional long and short-term memory network (BiLSTM), the mean square error and average absolute error are reduced by 74.55% and 7.35%, respectively. The maximum improvement of load capacity prediction margin is 10.04%. It can effectively tap the dynamic potential of transmission lines, and provide technical support for real-time scheduling of smart grid.
Keywords: Overhead line ampacity, Dynamic regulation, Bundle-conductor, Longshort-term memory, transformer
Received: 31 Mar 2025; Accepted: 12 May 2025.
Copyright: © 2025 Bao, Bao, Jin, Ruan, Shi and Yang. 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: Song Bao, China Energy Engineering Group Anhui Electric Power Design Institute Co., LTD., Anhui, China
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