基于模糊逻辑的太阳能光伏系统MPPT算法的实时实现

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

摘要

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