基于MPPT光伏系统SIC-FT控制算法的研究
RESEARCH ON SIC-FT CONTROL ALGORITHM FOR MPPT PHOTOVOLTAIC SYSTEM
秦世清 1何映谊 1曹通 1陈飞宇 1席曦 1杨国锋1
作者信息
- 1. 江南大学理学院,江苏省轻工光电工程技术研究中心,无锡 214122
- 折叠
摘要
由于太阳电池输出特性具有非线性特征,最大功率点追踪(MPPT)算法已应用于各大型或小微型光伏发电系统中.以MPPT算法中的传统定步长扰动观察法(P&O)为研究基础,针对该算法的追踪速度与稳态抑制难以平衡的问题,提出一种基于P&O的稳态识别控制与快速追踪相结合的MPPT算法(SIC-FT算法),同时提出一种评价MPPT算法性能的评价体系.通过在Matlab2022a/Simulink平台上搭建模型,对提出的算法以及其他基于P&O改进的算法,应用该文提出的评价体系进行仿真对比.结果显示,所提算法整体上优于仿真的其他同类算法.
Abstract
Given the non-linear characteristics of solar cell outputs,the maximum power point tracking(MPPT)algorithms are employed in numerous micro PV systems,regardless of their scale.This study focuses on the traditional fixed-step perturbation and observation(P&O)method used in the MPPT algorithm.Due to challenges in optimizing tracking speed with steady-state oscillation suppression in the standard P&O algorithm,a novel P&O-based approach is introduced,integrating steady-state identification with fast tracking.Moreover,a performance evaluation system for the MPPT algorithm is introduced.Using the Matlab2022a/Simulink platform,the proposed method's efficacy was benchmarked against other enhanced P&O algorithms via simulations guided by the aforementioned evaluation system.Results suggest that the proposed method consistently outperforms its counterparts in the simulations.
关键词
最大功率点追踪/光伏系统/扰动观察/稳态振荡/快速追踪Key words
maximum power point tracking/photovoltaic system/perturbation and observation(P&O)/steady state oscillation/fast tracking引用本文复制引用
出版年
2024
NETL
NSTL
万方数据