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An Improved Incremental Conductance Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems

机译:基于模糊逻辑的光伏系统改进的增量电导最大功率点跟踪算法

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This paper proposes an improved incremental inductance - maximum power point tracking (INC-MPPT) algorithm based on fuzzy logic for photovoltaic (PV) systems. The demonstrative PV system consists of a solar panel with a nominal power of 250W, a non-inverting buck-boost DC-DC converter, and a resistive load. The major objective of the designed PV system is efficiently seeking the maximum power point (MPP) of the PV panel under every weather condition. The proposed fuzzy-based INC-MPPT algorithm has two sub-controllers. In the first sub-controller, a new fuzzy logic controller (FLC) is proposed to eliminate drawbacks of the conventional INC-MPPT method. Its aim is determining fast and exactly the optimal voltage, where the solar panel operates at the MPP. Another is a PI controller, including an anti-windup module based on the back-calculation method. And it forces the DC-DC converter to ensure the operating voltage of PV panel must closely track to the optimal voltage calculated by the FLC in advance. Simulations illustrate that the suggested algorithm well fulfills the listed goal even if the solar irradiance and temperature suddenly change. Furthermore, the comparison of simulation results obtained separately from the proposed technique and the conventional INC-MPPT method, also shows its advantages in terms of fast response time, high accuracy, small oscillation around the MPP and robustness.
机译:本文提出了一种改进的增量电感 - 基于光伏(PV)系统模糊逻辑的增量电感 - 最大功率点跟踪(INC-MPPT)算法。演示光伏系统由太阳能电池板组成,标称功率为250W,非反相降压 - 升压DC-DC转换器和电阻负载。设计的光伏系统的主要目标是在每种天气条件下有效地寻求光伏面板的最大功率点(MPP)。所提出的基于模糊的Inc-MPPT算法有两个子控制器。在第一子控制器中,提出了一种新的模糊逻辑控制器(FLC)来消除传统的INC-MPPT方法的缺点。其目的是快速确定最佳电压,太阳能电池板在MPP工作。另一个是PI控制器,包括基于背部计算方法的防风模块。并且强制DC-DC转换器确保光伏面板的工作电压必须紧密地跟踪到FLC预先计算的最佳电压。即使太阳辐照度和温度突然改变,模拟表明建议的算法很好地满足所列目标。此外,与所提出的技术和传统的INC-MPPT方法分开获得的模拟结果的比较,也显示了在快速响应时间,高精度,围绕MPP和鲁棒性的振荡的方面的优点。

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