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首页> 外文期刊>Renewable Power Generation, IET >Maximum power point tracking technique using artificial bee colony and hill climbing algorithms during mismatch insolation conditions on PV array
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Maximum power point tracking technique using artificial bee colony and hill climbing algorithms during mismatch insolation conditions on PV array

机译：PV阵列失配日照条件下使用人工蜂群和爬坡算法的最大功率点跟踪技术

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摘要

This study presents a single current sensor based hybrid maximum power point tracking method to track the global maximum power point (GMPP) of the photovoltaic (PV) array during the mismatch insolation conditions. This method combines the artificial bee colony (ABC) and hill climbing (HC) algorithms to track the GMPP of a PV array. The proposed method uses the HC algorithm to identify the occurrence of mismatch insolation conditions on PV array. During the mismatch insolation conditions, the proposed method scans the battery charging current (Icharge) versus duty cycle (D) characteristics of the power electronic interface circuit to classify the type of shading pattern ofP-Vcurve and also to identify the vicinity of the GMPP. Based on the kind of shading pattern of aP-Vcurve, the proposed method operates either ABC or HC algorithm to track the GMPP. To improve the convergence speed of the proposed method, the search space of the ABC algorithm is reduced. The proposed method is modelled and simulated in MATLAB software and its performance is validated experimentally for various mismatch insolation conditions.
机译：这项研究提出了一种基于单个电流传感器的混合最大功率点跟踪方法，以在失配日晒条件下跟踪光伏（PV）阵列的全局最大功率点（GMPP）。该方法结合了人工蜂群（ABC）和爬山（HC）算法来跟踪PV阵列的GMPP。所提出的方法使用HC算法来识别PV阵列上不匹配日照条件的发生。在不匹配的日晒条件下，建议的方法会扫描电池充电电流（ n 我 n 费用 n）与占空比（ n D n）电力电子接口电路的特性以对阴影类型进行分类 n P n- n V ncurve并确定GMPP的附近。基于a n P n- n V n曲线，该方法可通过ABC或HC算法来跟踪GMPP。为了提高所提方法的收敛速度，减少了ABC算法的搜索空间。该方法在MATLAB软件中进行了建模和仿真，并针对各种失配日晒条件进行了实验验证。

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