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基于改进蚁群算法的输电线路路径自动选择

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基于改进蚁群算法,致力于解决输电线路路径选择问题.针对传统输电线路规划中存在的路径选择难题,提出一种蚁群算法的改进模型,以优化电力系统中的路径选择过程.通过引入信息素挥发因子和启发式信息,提高蚁群算法的搜索效率,使其更加适应复杂的输电网络环境.在模型实验中,采用实际输电网络数据进行验证,结果表明改进的蚁群算法相较于传统算法在路径选择的准确性和效率上均有显著提升.
Automatic Transmission Line Path Selection Based on Modified Ant Colony Algorithm
This paper is focused on solving the problem of transmission line path selection by using a modified ant colony algorithm.By introducing pheromone volatilization factors and heuristic information,the search efficiency of ant colony al-gorithm is improved,making it more adaptable to complex transmission network environments.In the model experiment,actual transmission network data was used for validation,and the results showed that the modified ant colony algorithm a-chieved significant improvements in path selection accuracy and efficiency compared to conventional algorithms.

ant colony algorithmtransmission linespath selectionpheromone volatilization factorheuristic informa-tion

张文斌

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国网河北省电力有限公司馆陶县供电分公司,河北 邯郸 057750

蚁群算法 输电线路 路径选择 信息素挥发因子 启发式信息

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(6)
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