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Maximum Power Point Tracking (MPPT) Algorithm Simulation Based on Fuzzy Logic Controller on Solar Cell with Boost Converter

机译:基于模糊逻辑控制器的具有Boost转换器的太阳能电池最大功率点跟踪(MPPT)算法仿真

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A Solar Panel has one distinct point where maximum power generated. It is called Maximum Power Point (MPP). MPP is affected by the changes in environmental factors such as sun irradiation and temperature. In order to obtain maximum power from solar cells continuously, it has to work on its maximum power point despite the inevitable changes in environment. This is why the applied controllers on solar panels employ Maximum Power Point Tracking (MPPT) algorithm. The objective of this study is to design MPPT method based on Fuzzy Logic Controller (FLC) using boost converter which able to reach MPP in a short period of time and to adapt with changing environmental conditions quickly. The design is based on study literature and simulation. The results prove the FLC MPPT is able to detect and reach MPP under slow and fast changes in irradiance.
机译:太阳能电池板有一个独特的地方,可以产生最大功率。它称为最大功率点(MPP)。 MPP受环境因素(例如太阳辐射和温度)变化的影响。为了不断从太阳能电池获得最大功率,尽管环境不可避免地发生变化,它仍必须在其最大功率点上工作。这就是为什么在太阳能板上应用的控制器采用最大功率点跟踪(MPPT)算法的原因。这项研究的目的是设计一种基于模糊逻辑控制器(FLC)的MPPT方法,该方法使用升压转换器,该转换器能够在短时间内达到MPP并快速适应不断变化的环境条件。该设计基于研究文献和仿真。结果证明,FLC MPPT能够在辐照度的缓慢和快速变化下检测并达到MPP。

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