Real-time implementation of the MPPT algorithm based on fuzzy logic for solar PV system

Debabrata Routray, P. Rout, B. K. Sahu
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引用次数: 1

Abstract

This paper presents an intelligent approach based on the fuzzy logic concept, to optimally find out the maximum power point (MPP) to extract maximum power from a photovoltaic (PV) array. The fuzzy logic-based MPP tracking (MPPT) is tested and analyzed through MATLAB/Simulink and hardware-based PV modules. To justify the feasibility of realtime application of the approach, a hardware setup is built using Arduino mega 2560 embedded board, MinGW-w64 simulator, and Simulink support package for Arduino Hardware in MATLAB/Simulink 2020. To execute the real-time conditions, both the temperature (T) and irradiance (G) variations are considered in different test cases. The results indicate the high efficacy and feasibility of the approach for real-time application.
基于模糊逻辑的太阳能光伏系统MPPT算法的实时实现
本文提出了一种基于模糊逻辑概念的智能方法,以最优地找出光伏阵列的最大功率点,从而从光伏阵列中提取最大功率。通过MATLAB/Simulink和基于硬件的光伏模块,对基于模糊逻辑的MPP跟踪(MPPT)进行了测试和分析。为了验证该方法实时应用的可行性,在MATLAB/Simulink 2020中使用Arduino mega 2560嵌入式板,MinGW-w64模拟器和Arduino硬件的Simulink支持包构建了硬件设置。为了执行实时条件,在不同的测试用例中考虑了温度(T)和辐照度(G)的变化。结果表明,该方法具有较高的实时性和可行性。
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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