计算机与数字工程2025，Vol.53Issue(4)：1164-1170,7.DOI:10.3969/j.issn.1672-9722.2025.04.042
基于改进人工蜂群算法的多目标微电网优化运行
Multi Objective Microgrid Optimal Operation Based on Improved ABC
摘要
Abstract
In order to improve the utilization rate of distributed power generation,save resources and reduce energy consump-tion,this paper proposes a microgrid optimization operation method based on improved artificial bee colony algorithm,which firstly constructs a two-part model of microgrid operation cost and environmental governance cost,and then carries out unitary processing.Secondly,the artificial bee colony algorithm is improved by introducing Halton sequence,Gaussian perturbation and inertia weight factor,and the selection strategy of following bees is optimized,which solves the problem that the original algorithm is easy to fall in-to local optimization and has weak global search ability.Finally,the improved artificial bee colony algorithm is used to solve the ob-jective function.The simulation results show that the improved algorithm successfully reduces the comprehensive cost of microgrid operation and makes the energy allocation more reasonable.关键词
微电网/分布式电源/人工蜂群算法/惯性权重/Halton序列Key words
microgrid/distributed power supply/artificial bee colony/inertia weight/Halton sequence分类
信息技术与安全科学引用本文复制引用
王欣达,徐武,高寒,张强,刘武..基于改进人工蜂群算法的多目标微电网优化运行[J].计算机与数字工程,2025,53(4):1164-1170,7.基金项目
国家自然科学基金项目(编号:U1802271)资助. （编号:U1802271）
