基于改进蚁群算法的电力自动调度模型构建
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摘 要：以电力自动调度为对象，提出了一种基于蚁群算法和粒子群算法的改进蚁群算法， 该算法在分析了蚁群算法优缺点的基础上，通过利用粒子群算法得到蚁群算法重要参数值，从而达到提升算法性能的目的。通过仿真实验证明，提出的改进蚁群算法模型具有可行性，并且在性能方面优于粒子群算法和蚁群算法。
关键词：电力自动调度;蚁群算法;粒子群算法;模型构建
中图分类号：TP18;TM734 文献标识码：A 文章编号：1001-5922（2021）11-0088-04
Construction of Electric Power Automatic Dispatching Model Based on Improved Ant Colony
Tan Zhenpeng， Deng Zhiguang
（Foshan Power Supply Bureau，Guangdong Power Grid Co.， Ltd.， Foshan 528000， China）
Abstract：Take power automatic scheduling as the object， an improved ant colony algorithm based on ant colony and particle group algorithm， which based on the advantages and disadvantages of ant algorithm is proposed， important parameter values of the ant colony algorithm are obtained by using the particle colony algorithm， so as to achieve the purpose of improving the algorithm performance. As proved by simulation experiments， the proposed improved ant swarm algorithm model is feasible and outperforms the particle swarm and ant swarm algorithms in terms of performance.
Key words：automatic power scheduling; ant colony algorithm; particle colony algorithm; model construction
0 引言
电能是当前人类社会极为重要的能源，直接关乎生产劳动和人们的日常生活。