Optimization of four‑circuit wire arrangement based on improved BP neural network and multi‑objective particle swarm optimization algorithm
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(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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TM752

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    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,杨 博,耿 行.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英文版,2023,38(4):151-161. CHEN Peng, LANG Xujun, GUO Zhen, YANG Bo, GENG Hang. 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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  • Received:
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  • Online: November 06,2023
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