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首页> 外文期刊>Renewable Power Generation, IET >Takagi–Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system
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Takagi–Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system

机译：Takagi–Sugeno基于模糊的增量电导算法，用于光伏发电系统的最大功率点跟踪

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摘要

Sluggish tracking for change in solar irradiations is the main demerit of the perturb and observe (P&O) algorithm because of its fixed perturb. To overcome this, an adaptive tracking algorithm based on Takagi-Sugeno fuzzy implications is proposed in this study. Input to the fuzzy controller is the error between conductance and incremental conductance which is otherwise zero at the maximum power point. The P&O algorithm and the proposed algorithm along with the recently published adaptive incremental conductance algorithm are examined for their performance efficacy on a photovoltaic (PV) generating system with fabricated as well as real irradiation data. As a case study, all the considered algorithms are validated under partial shading conditions also. The effectiveness of the proposed algorithm is verified for the tracking of the maximum power point of a PV system in steady as well as changing irradiations and the conclusions are supported through some experimental validations.
机译：缓慢跟踪太阳辐射的变化是扰动和观测（P＆O）算法的主要缺点，因为它具有固定的扰动。为了克服这个问题，本研究提出了一种基于Takagi-Sugeno模糊含义的自适应跟踪算法。模糊控制器的输入是电导和增量电导之间的误差，否则该误差在最大功率点为零。对P＆O算法和提出的算法以及最近发布的自适应增量电导算法进行了检查，以了解它们在具有制造的和实际的辐射数据的光伏（PV）生成系统上的性能功效。作为案例研究，所有考虑的算法也在部分阴影条件下得到了验证。验证了所提出算法的有效性，该算法可用于跟踪光伏系统在稳定以及变化的辐照下的最大功率点，并通过一些实验验证来支持结论。

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