住宅并网太阳能逆变器采用模糊逻辑DC-DC变换器

2016 International Conference on Sustainable Energy Engineering and Application (ICSEEA) Pub Date : 2016-10-01 DOI:10.1109/ICSEEA.2016.7873560

Ashok Aryal, A. Hellany, J. Rizk, M. Nagrial

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引用次数: 1

摘要

本文提出了一种家用太阳能并网逆变器，并对其进行了模糊逻辑分析。在Matlab中对模糊逻辑算法的性能进行了仿真。本文使用的模糊逻辑算法避免了其他类型的最大功率点跟踪(MPPT)技术(如P&O (Perturb and Observe)、爬坡和增量电导法)所遇到的持续跟踪振荡问题。最大功率点跟踪是一种将最大功率从太阳能电池板输送到电网的方法，通常称为阻抗匹配方法。仿真结果表明，对于任意辐照度和温度点，绝对跟踪误差小于或等于1.4%。本文提出的模糊逻辑MPPT只计算500w /m2以上的占空比;这对于太阳能发电来说并不重要，因为所提出的算法在日光条件下运行良好。

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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Residential grid connected solar inverter using fuzzy logic DC-DC Converter

This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.

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来源期刊

2016 International Conference on Sustainable Energy Engineering and Application (ICSEEA)

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