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首页> 外文期刊>Revue roumaine des sciences techniques >IMPROVED INCREMENTAL CONDUCTANCE MAXIMUM POWER POINT TRACKING ALGORITHM USING FUZZY LOGIC CONTROLLER FOR PHOTOVOLTAIC SYSTEM
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IMPROVED INCREMENTAL CONDUCTANCE MAXIMUM POWER POINT TRACKING ALGORITHM USING FUZZY LOGIC CONTROLLER FOR PHOTOVOLTAIC SYSTEM

机译：光伏系统改进的增量电导最大功率点跟踪算法

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摘要

The hard nonlinearity of the electrical behavior, current-voltage output of a photovoltaic array considered a big issue in the designing of maximum power point tracking (MPPT) algorithms, furthermore changing with atmospheric condition temperature and irradiation. So it's more challenging to control both the time response and the accuracy. The most commonly algorithms discussed and used in practice are incremental conductance (INC) and perturb and observe (P&O), nevertheless failed to overcome the drawback of the trade-off between the elimination of oscillation around MPP in the steady state and quickness tracking, chiefly when sudden sharp environmental change occurs. Thus, this study suggests a revised incremental conductance combined with fuzzy logic controller (FLC), to enhance the efficiency of the conversion system and perfom it for practical operating conditions. The INC uses the step size generated from FLC. The performance of the dynamic response and the accuracy have optimized significantly compared with conventional methods (P&O, INC). Computer simulation has carried out under MATALB/Simulink environment to demonstrate the performance of the proposed method.
机译：电性能的严格非线性，光伏阵列的电流-电压输出在最大功率点跟踪（MPPT）算法的设计中被认为是一个大问题，并且随着大气温度和辐照度的变化而变化。因此，控制时间响应和精度都更具挑战性。在实践中讨论和使用的最常用算法是增量电导（INC）和扰动和观测（P＆O），但是，它未能克服在稳定状态下消除MPP周围的振荡与快速跟踪之间权衡的缺点，主要是当突然发生急剧的环境变化时。因此，本研究提出了一种修正后的增量电导与模糊逻辑控制器（FLC）的组合，以提高转换系统的效率并在实际操作条件下进行转换。 INC使用从FLC生成的步长。与传统方法（P＆O，INC）相比，动态响应的性能和精度已得到显着优化。在MATALB / Simulink环境下进行了计算机仿真，以证明该方法的性能。

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