摘要
为解决光伏发电系统中最大功率点跟踪(MPPT)关键难题,提出一种改进的扰动观察(P&O)最大功率点跟踪算法,该算法使用基于模糊逻辑的可变步长扰动观测MPPT算法(FP&O)来克服与传统P&O MPPT跟踪方法相关的无法兼顾跟踪速度和稳态精度的限制,从而改善瞬态响应并降低稳态端电压振荡。所提出的MPPT算法通过MATLAB仿真验证其有效性和可行性。仿真结果表明,基于模糊逻辑的变步长P&O MPPT算法相比传统MPPT算法兼顾了跟踪速度和稳态精度,系统响应速度更快,平均输出功率更高且功率振荡范围更小,改善了光伏系统的动、静态工作性能。
In order to solve the key problem of maximum power point tracking(MPPT) in photovoltaic system,an improved Perturbation & Observation(P&O) maximum power point tracking algorithm is proposed.The algorithm uses variable step size Perturbation & Observation MPPT algorithm(FP&O) based on fuzzy logic to overcome the limitations of tracking speed and steady-state accuracy associated with traditional P&O MPPT tracking method to improve the transient response and reduce the steady-state terminal voltage oscillations.The proposed MPPT algorithm is simulated to verify the effectiveness and feasibility of the algorithm by MATLAB.The simulation results show that the variable step size P&O MPPT algorithm based on fuzzy logic takes into account both tracking speed and steady-state accuracy compared with the traditional MPPT algorithm,the system response speed is faster,the average output power is higher and the power oscillation range is smaller,and the dynamic and static performance of photovoltaic system is improved.
作者
徐林
刘瑞
张静
邱萌萌
Xu Lin;Liu Rui;Zhang Jing;Qiu Mengmeng(School of Electrical Engineering,Anhui Technical College of Mechanical and Electrical Engineering,Wuhu,Anhui 241002,China;School of Automation,Harbin University of Science and Technology,Harbin,Heilongjiang 150080,China)
出处
《黑龙江工业学院学报（综合版）》
2024年第5期102-109,共8页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
安徽省高校自然科学研究重点项目“基于智能控制的风光互补发电最大功率点跟踪技术优化”(项目编号:KJ2021A1518)
安徽省质量工程项目“徐林技能大师工作室”(项目编号:2023jnds004)。
