中国舰船研究2024，Vol.19Issue(4)：139-147,9.DOI:10.19693/j.issn.1673-3185.03505
基于自适应蚁群算法的岛礁混合发电系统电源容量优化方法
Optimization method for island and reef hybrid power generation systems'power capacity based on adaptive ant colony algorithm
摘要
Abstract
[Objectives]Aiming to address the existing challenges in the power capacity configuration of is-land and reef hybrid power generation systems,this paper proposes an optimization method based on the ad-aptive ant colony algorithm(ACA).[Methods]An ACA is used as the core optimization tool to configure the power capacity of an island and reef hybrid power generation system.The process of ants foraging is simu-lated by employing the ACA and using the power generation of renewable energy as dynamic pheromones in the search space.The optimal solution is then found through global search,achieving the full utilization of re-newable energy.Taking Wai Lingding Island as the target island,a'wind-solar-diesel-storage'microgrid hy-brid power generation system model is constructed,and the ACA is used to optimize its capacity configura-tion.[Results]The simulation results of the algorithm indicate that,compared to the improved Grey Wolf algorithm and Artificial Bee Colony algorithm,the ACA can effectively reduce the operational costs and envir-onmental pollution of the microgrid hybrid power generation system,while ensuring the stability of the power supply.[Conclusions]The results of this study can effectively increase the power supply stability of the micro grid hybrid power generation system,reduce operating costs and environmental pollution,and thus achieve ef-ficient utilization of energy resources.关键词
混合发电系统/自适应蚁群算法/容量配置/动态信息素/经济性Key words
hybrid power generation system/adaptive ant colony algorithm(ACA)/capacity configuration/dynamic pheromone/economy分类
交通工程引用本文复制引用
李维波,彭智明,张浩,张茂杰,方华亮..基于自适应蚁群算法的岛礁混合发电系统电源容量优化方法[J].中国舰船研究,2024,19(4):139-147,9.基金项目
国家重点研发计划资助项目(2020YFB1506802) （2020YFB1506802）
