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

作　　者：姜建国[1] 韩锦涛 毕洪波[1] 赵奕岚 JIANG Jianguo;HAN Jintao;BI Hongbo;ZHAO Yilan(College of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318,China)

机构地区：[1]东北石油大学电气信息工程学院,大庆163318

出　　处：《电力需求侧管理》2025年第2期42-47,共6页Power Demand Side Management

基　　金：黑龙江省自然科学基金资助项目(LH2022F005)。

摘　　要：微电网优化调度是消纳间歇性分布式能源的有效技术手段,为实现微电网经济和环境优化的双重目标,建立了包含光伏电池、风机、微型燃气轮机、柴油发电机以及蓄电池的微电网优化模型。模型采用改进的鲸鱼算法求解,针对传统鲸鱼算法存在着收敛速度慢、易陷入局部最优解的问题,采用Tent映射初始化种群、加入正弦余弦算子改进鲸鱼算法中气泡网攻击阶段、引入Levy飞行增强全局搜索能力3个方面改良算法。将改进后的鲸鱼算法应用到微电网中,同时与传统粒子群、基础鲸鱼算法对比,结果表明混合正余弦算子改进鲸鱼算法具有更快的迭代速度和更优的经济性,对微电网优化调度问题有良好的求解效果。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 initialize the population,adding the sine and cosine operators to improve the bubble net attack phase of the whale algorithm,and Levy flight is introduced 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 

分 类 号：TM73[电气工程—电力系统及自动化]