基于改进BP神经网络和多目标粒子群算法的四回路导线布置优化
作者:
作者单位:

(1.山东电力工程咨询院有限公司,山东 济南 250013;2.山东大学电气工程学院,山东 济南 250012)

作者简介:

通讯作者:

耿 行(1998—),男,硕士,主要从事高电压与绝缘技术的研究;E?mail:202134635@mail.sdu.edu.cn

中图分类号:

TM752

基金项目:

国家重点研发计划(2021YFB2601401)


Optimization of four‑circuit wire arrangement based on improved BP neural network and multi‑objective particle swarm optimization algorithm
Author:
Affiliation:

(1.Shandong Electric Power Engineering Consulting Institute Co., Ltd., Jinan 250013, China;2. School of Electrical Engineering,Shandong University, Jinan 250012, China)

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    摘要:

    同塔多回并架线路可有效解决输电走廊日益紧缺的情况下线路改造和建设所面临的难题,但长距离线路的导线空间布置和相序排列为架空输电线路设计和开关检修工作带来极大挑战。为此,利用ATP?EMTP仿真软件搭建500 kV同塔四回输电线路计算模型,考虑不同线路长度、杆塔间距、线路回间垂直间距和水平间距、相序排列方式以及杆塔呼称高度,对线路的感应电压和电流值进行仿真计算,并使用基于遗传算法优化的BP神经网络对未知导线布置和相序排列方式下的感应电压和电流进行预测。最终依据相应的电磁环境控制指标,使用多目标粒子群算法对架空输电线路的空间布置和相序排列进行优化,获得满足电磁环境要求的四回路导线布置方案,为送出站接地开关选型提供参照依据。

    Abstract:

    The multi?circuit line configuration can effectively solve the problems in line reconstruction and construction amidst the increasing shortage of transmission corridors. The conductor spatial arrangement and phase sequence determination for long?distance transmission lines pose great challenges in the design and maintenance of overhead transmission systems. This paper utilizes the ATP?EMTP simulation software to build a model of 500 kV four?circuit transmission line on the same tower, and simulates the induced voltage and current values with different line lengths, tower spacings, vertical and horizontal inter?circuit gaps, phase sequence arrangements, and tower nominal heights. Employing a BP neural network optimized by genetic algorithm, this paper achieve to predict the induced voltage and current values under unknown conductor spatial arrangements and phase sequences. Subsequently, according to the relevant electromagnetic environment control criteria, the multi?objective particle swarm optimization algorithm is used to optimize the conductor layout and phase sequence arrangement for overhead transmission lines. This process yields a four?circuit conductor arrangement meeting the electromagnetic environment requirements, thus providing a reference for the selection of substation grounding switches.

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陈 鹏,郎需军,国 震,等.基于改进BP神经网络和多目标粒子群算法的四回路导线布置优化[J].电力科学与技术学报,2023,38(4):151-161.
CHEN Peng, LANG Xujun, GUO Zhen, et al. Optimization of four‑circuit wire arrangement based on improved BP neural network and multi‑objective particle swarm optimization algorithm[J]. Journal of Electric Power Science and Technology,2023,38(4):151-161.

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  • 在线发布日期: 2023-11-06
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