计算机应用研究2024，Vol.41Issue(10)：3032-3037,6.DOI:10.19734/j.issn.1001-3695.2024.03.0058
基于改进堆优化算法求解电动汽车并网动态经济调度
Solving dynamic economic dispatch with electric vehicle based on improved heap-based optimizer algorithm
摘要
Abstract
When dealing with dynamic economic dispatch problems involving electric vehicles(EVDED),HBO suffers from slow convergence and low accuracy.This paper proposed an improved heap-based optimizer algorithm called RDHBO.RDHBO adopted the optimal member region search and dual population interaction strategies.The former guided the optimal members to move to more promising regions,improving the convergence accuracy and convergence speed.The latter made full use of the eliminated inferior individuals,enriching the diversity of the population,avoiding the algorithm falling into the local optimum.It investigated a 10-unit EVDED problem with four charging scenarios.The simulation results show that RDHBO is highly compe-titive in generating low fuel cost and high stability compared with the existing representative methods.Finally,two improved strategies of RDHBO were subjected to ablation experiments,and the results show that combining the two strategies are effec-tive.关键词
动态经济调度/电动汽车/堆优化算法/区域搜索/双种群交互Key words
dynamic economic dispatch(CDED)/electric vehicle/heap-based optimizer(HBO)/regional search/dual population interaction分类
信息技术与安全科学引用本文复制引用
陈旭,张智祥..基于改进堆优化算法求解电动汽车并网动态经济调度[J].计算机应用研究,2024,41(10):3032-3037,6.基金项目
国家自然科学基金资助项目(62303197) （62303197）
