Conductor Arrangement and Phase Sequence Optimization Scheme for 500 kV Four-Circuit Transmission Lines on Same Tower

被引:0
|
作者
Lu D. [1 ]
Lang X. [1 ]
Yang B. [1 ]
Li Z. [1 ]
Geng H. [2 ]
机构
[1] Power Grid Design and Research Institute, Shandong Electric Power Engineering Consulting Institute Co., Ltd, Jinan
[2] School of Electrical Engineering, Shandong University, Jinan
关键词
BP neural network; genetic algorithm; multi-objective particle swarm algorithm; phase sequence arrangement; Spatial arrangement;
D O I
10.32604/ee.2023.029140
中图分类号
学科分类号
摘要
The four-circuit parallel line on the same tower effectively solves the problems faced by the line reconstruction and construction under the condition of the increasing shortage of transmission corridors. Optimizing the conductor and phase sequence arrangement of multiple transmission lines is conducive to improving electromagnetic and electrostatic coupling caused by electromagnetic problems. This paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same tower. It stimulates the induced voltage and current values of different line lengths, tower spacing, vertical and horizontal spacing between different circuits, phase sequence arrangement, and nominal tower height. Moreover, use the BP neural network optimized by a genetic algorithm to predict the induced voltage and current under the unknown conductor and phase sequence arrangement. Finally, based on multi-objective particle swarm algorithm to construct the optimization model of conductor arrangement scheme of overhead transmission line, combined with electromagnetic environment control index, determine the optimal conductor arrangement scheme by the size of particle fitness function, a significant reduction in induced voltages and currents between transmission lines and the four-circuit conductor layout scheme meeting the requirements of the electromagnetic environment is obtained, which provides a reference for the tower design of the transmission station project. © 2023, Tech Science Press. All rights reserved.
引用
收藏
页码:2287 / 2306
页数:19
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