Fuzzy Logic Based MPPT for Photovoltaic Modules Influenced by Solar Irradiation and Cell Temperature

2011 UkSim 13th International Conference on Computer Modelling and Simulation Pub Date : 2011-03-30 DOI:10.1109/UKSIM.2011.78

Chia Seet Chim, P. Neelakantan, H. Yoong, K. Teo

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引用次数: 65

Abstract

This paper presents fuzzy based perturb and observe maximum power point tracking in solar panel. The solar system is modelled and analysed in MATLAB/SIMULINK. The photovoltaic panel has an optimal operating voltage where the PV panel can produce maximum power at this particular point. Due to the nonlinearity of the voltage-current characteristic in solar panel, it is difficult to determine analytically the maximum power operating voltage that varies with the change of solar irradiance and cell temperature. Maximum power point tracking (MPPT) is implemented to identify the maximum power operating point, subsequently regulate the solar panel to operate at that particular operating voltage for maximum power gaining. Perturb and observe (P&O) MPPT and fuzzy based optimized P&O MPPT are developed and the performances of both controllers are examined at variable solar irradiances at different temperatures. Simulation results show that fuzzy based P&O MPPT has better performance where it can facilitate the solar panel to produce a more stable power.

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基于模糊逻辑的太阳辐照和电池温度影响下光伏组件MPPT分析

提出了基于模糊摄动的太阳能帆板最大功率点跟踪方法。在MATLAB/SIMULINK中对太阳系进行了建模和分析。光伏板具有在该特定点上光伏板可以产生最大功率的最佳工作电压。由于太阳能电池板电压电流特性的非线性，很难解析确定随太阳辐照度和电池温度变化的最大功率工作电压。实现最大功率点跟踪(MPPT)，以确定最大功率工作点，随后调节太阳能电池板在该特定工作电压下工作，以获得最大功率。分别研究了扰动观测(P&O) MPPT和基于模糊的优化P&O MPPT，并对两种控制器在不同温度下变太阳辐照度下的性能进行了测试。仿真结果表明，基于模糊的P&O MPPT具有更好的性能，可以使太阳能电池板产生更稳定的功率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 UkSim 13th International Conference on Computer Modelling and Simulation

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