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引用次数: 23
摘要
最大功率点跟踪(MPPT)是光伏发电系统的重要组成部分。本文在恒定和可变大气条件下，对扰动与观测(P&O)、增量电导(InC)和基于智能模糊逻辑(FL)的MPPT控制器三种MPPT算法进行了比较仿真研究。仿真结果表明，通过连续调整DC-DC占空比作为控制参数，基于FL的MPPT可以在精度、暂态(速度)和稳态(稳定性)响应方面优于传统的(P&O)和(InC)算法。利用Matlab simulink工具箱和M-file对上述MPPT算法在150W BP SX150S太阳能光伏组件中的应用进行了仿真和性能评估。
Study of FLC based MPPT in comparison with P&O and InC for PV systems
Maximum Power Point Tracking (MPPT) represents an important part in photovoltaic (PV) systems. This paper presents a comparative simulation study of three MPPT algorithms: Perturb & Observe (P&O), Incremental Conductance (InC), and intelligent Fuzzy Logic (FL) based MPPT controller under constant and variable atmospheric conditions. The simulation results show that the FL based MPPT can track the MPP with better results as compared to the conventional (P&O) and (InC) algorithms in terms of accuracy, transient (speed) and steady (stability) responses by continuously adjusting the DC-DC duty cycle as a control parameter. A Matlab simulink toolbox and M-file have been used for the simulation and performance evaluation of the above-mentioned MPPT algorithms applied for the 150W BP SX150S solar PV module.
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