基于模糊逻辑的光伏系统变步长P&OMPPT算法
A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
徐林 1刘瑞 1张静 2邱萌萌1
作者信息
- 1. 安徽机电职业技术学院 电气工程学院,安徽 芜湖 241002
- 2. 哈尔滨理工大学 自动化学院,黑龙江 哈尔滨 150080
- 折叠
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.
Abstract
In order to solve the key problem of maximum power point tracking(MPPT)in photovoltaic sys-tem,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 o-vercome the limitations of tracking speed and steady-state accuracy associated with traditional P&O MPPT track-ing method to improve the transient response and reduce the steady-state terminal voltage oscillations.The pro-posed 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 re-sponse speed is faster,the average output power is higher and the power oscillation range is smaller,and the dy-namic and static performance of photovoltaic system is improved.
关键词
可变步长/扰动观测MPPT/模糊逻辑/光伏系统Key words
variable step size/P&O MPPT/fuzzy logic/PV system引用本文复制引用
基金项目
安徽省高校自然科学研究重点项目(KJ2021A1518)
安徽省质量工程项目(2023jnds004)
出版年
2024
NETL
NSTL
万方数据