电力需求侧管理2025，Vol.27Issue(2)：42-47,6.DOI:10.3969/j.issn.1009-1831.2025.02.007
基于混合正余弦算子改进鲸鱼算法的微电网优化运行
Microgrid optimization based on hybrid sine and cosine operators improved whale algorithm
摘要
Abstract
Micro-grid optimization scheduling is an effective technical means to absorb intermittent distributed energy.In order to achieve the dual goals of economic and environmental optimization of micro-grid,a micro-grid optimization model including photovoltaic cells,fans,micro-gas turbines,diesel generators and batteries is established.The model is solved by an improved whale algorithm.In view of the problems of slow convergence and easy to fall into the local optimal solution of the traditional whale algorithm,Tent map is used to initial-ize the population,adding the sine and cosine operators to improve the bubble net attack phase of the whale algorithm,and Levy flight is in-troduced to enhance the global search ability.The improved whale algorithm is applied to the microgrid.Compared with traditional particle swarm optimization and basic whale algorithm,the results show that the improved whale algorithm with mixed sine and cosine operators has faster iteration speed and better economy,and has a good solution effect for the optimization scheduling problem of microgrid.关键词
微电网优化调度/鲸鱼算法/Tent映射/正弦余弦算子/Levy飞行Key words
optimal dispatch of microgrids/whale optimization algorithm/Tent map/sine-cosine operator/Lévy flight分类
动力与电气工程引用本文复制引用
姜建国,韩锦涛,毕洪波,赵奕岚..基于混合正余弦算子改进鲸鱼算法的微电网优化运行[J].电力需求侧管理,2025,27(2):42-47,6.基金项目
黑龙江省自然科学基金资助项目(LH2022F005) （LH2022F005）
