摘要
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。
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 algorithm 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 achieved significant improvements in path selection accuracy and efficiency compared to conventional algorithms.
作者
张文斌
ZHANG Wenbin(State Grid Hebei Electric Power Co.,Ltd.,Guantao County Power Supply Branch,Handan 057750,China)
出处
《电工技术》
2024年第6期72-74,共3页
Electric Engineering
关键词
蚁群算法
输电线路
路径选择
信息素挥发因子
启发式信息
ant colony algorithm
transmission lines
path selection
pheromone volatilization factor
heuristic information
