改进蚁群算法在配电网巡逻路线规划中的应用

Xiaoliu Shen, JinSong Sang, Yangbo Sun, Ruixue Liu
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引用次数: 6

摘要

为了提高电气巡逻的效率,需要制定科学合理的巡逻路线规划。在分析电力线路巡逻工作内容和特点的基础上,建立了基于VRP的巡逻线路规划模型,并采用改进的蚁群算法对其进行求解。对于传统的蚁群算法,从转移概率的角度对算法进行改进,采用双参数联合控制,提高了蚁群算法的计算效率,弥补了传统蚁群算法由于参数设置不准确而训练效率低且容易产生局部最小值的缺点。实验结果表明,利用该方法优化巡逻路线,提高了巡逻方案的科学性和正确率,提高了电力巡逻部门的工作效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of improved ant colony algorithm in distribution network patrol route planning
In order to improve the efficiency of electrical patrol, we need to develop a scientific and reasonable patrol route planning. By analyzing the electrical route patrol work content and features, we establish a patrol route planning model based VRP, and use the improved ant colony algorithm to solve this problem. For traditional ant colony algorithm, improve the algorithms from the transition probability, using of joint control with two parameters, which improves the computational efficiency of ant colony algorithm, makes up the disadvantage that traditional ant colony algorithm's training efficiency is low and easy to produce local minimum because of the parameter settings inaccurate. The experiment result shows that patrol route optimization by this method improves the scientificity and ratio nality of patrol programs as well as improves efficiency of the electrical patrol department.
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