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基于模糊逻辑的光伏系统变步长P&OMPPT算法

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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.
A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
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.

variable step sizeP&O MPPTfuzzy logicPV system

徐林、刘瑞、张静、邱萌萌

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安徽机电职业技术学院 电气工程学院,安徽 芜湖 241002

哈尔滨理工大学 自动化学院,黑龙江 哈尔滨 150080

可变步长 扰动观测MPPT 模糊逻辑 光伏系统

安徽省高校自然科学研究重点项目安徽省质量工程项目

KJ2021A15182023jnds004

2024

黑龙江工业学院学报(综合版)
鸡西大学

黑龙江工业学院学报(综合版)

影响因子:0.211
ISSN:1672-6758
年,卷(期):2024.24(5)
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