摘要
为解决光伏发电系统在不均匀光照情况下,传统最大功率点跟踪(MPPT)方法极易陷入局部最优等问题,提出一种改进蝴蝶优化算法的光伏MPPT方法。算法在传统蝴蝶优化算法基础上融合多种优化策略,通过蝴蝶间距来改善切换概率,在算法前期加强全局搜索的概率,加快收敛进程,在算法后期侧重局部搜索,提高稳态精度;通过引入一种正切函数作为全局搜索的权重系数,平衡了系统的稳定性;通过诱导变异来增强种群的多样性,增强摆脱局部最优的概率,同时有效提高收敛速度。仿真结果显示,上述算法相比传统蝴蝶算法在静态阴影、变化阴影下收敛速度更快、震荡幅度更小。
In order to solve the problem that the traditional maximum power point tracking(MPPT)method can easily fall into local optimum under the condition of uneven illumination of photovoltaic power generation system,a photovoltaic MPPT method based on an improved butterfly optimization algorithm was proposed.Based on the traditional butterfly optimization algorithm,the algorithm combines several optimization strategies,improves the switching probability through the butterfly spacing,strengthens the global search probability in the early stage of the algorithm,speeds up the convergence process,and focuses on the local search in the late stage of the algorithm to improve the steady-state accuracy.By introducing a tangent function as the weight coefficient of global search,the stability of the system is balanced.By inducing variation,the diversity of the population was enhanced,the probability of getting rid of the local optimum was enhanced,and the convergence rate was improved effectively.Simulation results show that this algorithm converges faster and oscillates less than the traditional butterfly algorithm under static and changing shadows.
作者
李红岩
王磊
刘宝
杨朝旭
LI Hong-yan;WANG Lei;LIU Bao;YANG Chao-xu(School of Electrical and Control Engineering,Xi'an University of Science and Technology,Xi'an 710600,China)
出处
《计算机仿真》
北大核心
2023年第12期108-112,共5页
Computer Simulation
基金
国家自然科学基金(61703329)
陕西省重点研发计划项目(2019GY-097)。
关键词
光伏发电系统
最大功率点跟踪
改进蝴蝶优化算法
变异策略
Photovoltaic power generation system
Maximum power point tracking
Improved butterfly optimization algorithm
Mutation strategy
作者简介
李红岩(1980-),男(汉族),山东省东阿人,博士,高级工程师,硕士研究生导师,主要研究领域为嵌入式智能监测监控系统;王磊(1998-),男(汉族),山西省大同市人,硕士研究生,主要研究领域为人工智能;刘宝(1983-),男(汉族),博士,山东潍坊人,硕士研究生导师,主要研究领域为多源信息融合;杨朝旭(1996-),男(汉族),陕西省汉中市人,硕士研究生,主要研究领域为功率器件故障诊断与寿命预测。
