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Optimization Technique Based Fuzzy Logic Controller for MPPT of Solar PV System

机译:基于优化技术的太阳能光伏发电系统MPPT模糊控制器

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Sunlight based Photovoltaic (PV) is a vital sustainable power hotspot for mankind. The productivity of the PV framework is subject to the different ecological elements like irradiance, temperature, tidy, daylight's ghastly thickness. By utilizing Maximum Power Point Tracking (MPPT) strategies, we can build the effectiveness of sun oriented photovoltaic framework. Numerous strategies have been proposed to build the energy of PV module in the diverse condition factors. In the present work Genetic algorithm based Fuzzy Logic MPPT has been utilized and reproduction comes about are contrasted with Perturb and Observe (P&O) MPPT utilizing MATLAB. A Solar Photovoltaic Generation System incorporated a sun powered module, a Fuzzy Logic Controller (FLC), a Boost converter (venture up converter) and a resistive load. Fuzzy Logic Controller use for controlling the switch plot for boost Converter. Viability and achievability of the FLC based MPPT system is appeared by the recreation result.
机译:基于阳光的光伏(PV)是人类至关重要的可持续能源热点。 PV框架的生产率受不同的生态因素的影响,例如辐照度,温度,整洁,日光的可怕厚度。通过利用最大功率点跟踪(MPPT)策略,我们可以建立面向太阳的光伏框架的有效性。已经提出了许多策略来构建在各种条件因素下的光伏组件的能量。在目前的工作中,已经利用了基于遗传算法的模糊逻辑MPPT,并与使用MATLAB的Perturb and Observe(P&O)MPPT进行了对比。太阳能光伏发电系统包含一个太阳能模块,一个模糊逻辑控制器(FLC),一个升压转换器(升压转换器)和一个电阻负载。模糊逻辑控制器用于控制升压转换器的开关图。娱乐结果显示了基于FLC的MPPT系统的可行性和可实现性。

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