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首页> 外文期刊>SICE Journal of Control, Measurement, and System Integration (SICE JCMSI) >An Improved Incremental Conductance-Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems
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An Improved Incremental Conductance-Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems

机译：改进的基于模糊逻辑的光伏系统增量电导-最大功率点跟踪算法

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摘要

This paper presents an improved Incremental Conductance - Maximum Power Point Tracking (INC-MPPT) algorithm based on fuzzy logic for photovoltaic (PV) systems. The demonstrative PV system consists of the solar array with a nominal power of 320W, a non-inverting buck-boost converter, and a resistive load. The PV system's objective is to seek efficiently the maximum power point (MPP) of the solar array in varying weather conditions. To do this, the proposed fuzzy-based INC-MPPT algorithm is designed with two sub-controllers. Wherein, in the first one, a novel fuzzy logic controller (FLC) is proposed to enhance the effectiveness of the conventional INC-MPPT. Its aim is determining rapidly and accurately the optimal voltage, where the solar array operates at the MPP. The other is a PI anti-windup controller, and it regulates the operating PV array's voltage to the optimal voltage computed in advance. Simulations show that the suggested algorithm fulfills well the listed goal even when the solar irradiance and temperature change suddenly. Furthermore, comparisons of simulation results, obtained from the presented algorithm, the conventional INC, and an existing fuzzy-based INC-MPPT, illustrate advantages of the proposed algorithm in terms of fast response speed, high accuracy, and small oscillation. The feasibility and efficacy of the suggested algorithm are also verified by experiments.
机译：本文提出了一种基于模糊逻辑的光伏（PV）系统改进的增量电导-最大功率点跟踪（INC-MPPT）算法。示范光伏系统由标称功率为320W的太阳能电池阵列，同相降压-升压转换器和电阻负载组成。光伏系统的目标是在变化的天气条件下有效地寻找太阳能电池阵列的最大功率点（MPP）。为此，设计了带有两个子控制器的基于模糊的INC-MPPT算法。其中，在第一个中，提出了一种新颖的模糊逻辑控制器（FLC）以增强常规INC-MPPT的有效性。其目的是快速，准确地确定最佳电压，在此温度下，太阳能电池板以MPP方式工作。另一个是PI防饱和控制器，它将运行中的光伏阵列的电压调节到预先计算出的最佳电压。仿真表明，即使在太阳辐射和温度突然变化的情况下，所提出的算法也能很好地满足所列的目标。此外，从提出的算法，常规INC和现有的基于模糊的INC-MPPT获得的仿真结果的比较说明了该算法在快速响应速度，高精度和小振荡方面的优势。实验证明了该算法的可行性和有效性。

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