基于改进狮群算法的最大功率跟踪控制研究  

Research on Maximum Power Tracking Control Based on Improved Lion Swarm Optimization

作　　者：潘海鹏[1] 吴小峰 雷美珍[1] PAN Haipeng;WU Xiaofeng;LEI Meizhen(Faculty of Information Science and Engineering,Zhejiang Sci-Tech University,Hangzhou 310000,China)

机构地区：[1]浙江理工大学信息科学与工程学院,浙江杭州310000

出　　处：《软件工程》2023年第10期5-10,共6页Software Engineering

摘　　要：针对直驱式波浪发电系统在实际海域中输出功率低的问题,设计了基于改进狮群算法的最大功率跟踪控制方案。该算法引入Tent混沌映射、差分进化算法的变异机制和灰狼优化算法的捕猎机制对基础狮群算法(Lion Swarm Optimization,LSO)进行改进。仿真结果表明,在规则海浪的情况下,改进狮群算法的能量捕获率比基础狮群算法的能量捕获率高约17.46%,比遗传算法的能量捕获率高约5.99%。在非规则海浪的情况下,改进狮群算法的能量捕获率比基础狮群算法的能量捕获率提升了约23.16%,比遗传算法的能量捕获率提升了约18.15%。仿真结果证明该算法能够有效提高直驱式波浪发电系统的输出功率。Aiming at the problem of low output power of direct drive wave power generation system in actual sea area,this paper proposes to design a maximum power tracking control scheme based on the improved Lion Swarm Optimization.The algorithm draws on Tent chaos mapping,variation mechanism of Differential Evolution algorithm and hunting mechanism of Gray Wolf Optimization algorithm to improve the basic Lion Swarm Optimization(LSO).The simulation results show that under the condition of regular waves,the energy capture rate of the improved LSO is about 17.46%higher than that of the basic LSO,and about 5.99%higher than that of the genetic algorithm.In the case of irregular waves,the energy capture rate of the improved LSO is about 23.16%higher than that of the basic LSO,and about 18.15%higher than that of genetic algorithm.The simulation results prove that the proposed algorithm can effectively improve the output power of the direct drive wave power generation system.

关 键 词：直驱式波浪发电系统 非规则海浪 狮群算法 最大功率跟踪控制 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]