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Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control

机译:基于模糊逻辑控制的光伏系统实际最大功率点跟踪仿真

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In the recent years, the solar energy becomes one of the most important alternative sources of electric energy, so it is important to improve the efficiency and reliability of the photovoltaic (PV) systems. Maximum power point tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions, and therefore maximize their array efficiency. This paper presents a maximum power point tracker (MPPT) using Fuzzy Logic theory for a PV system. The work is focused on the well known Perturb and Observe (P&O) algorithm and is compared to a designed fuzzy logic controller (FLC). The simulation work dealing with MPPT controller; a DC/DC ?uk converter feeding a load is achieved. The results showed that the proposed Fuzzy Logic MPPT in the PV system is valid.
机译:近年来,太阳能成为最重要的替代能源之一,因此提高光伏(PV)系统的效率和可靠性非常重要。最大功率点跟踪(MPPT)在光伏发电系统中起着重要作用,因为在给定的一组条件下,它可使光伏发电系统的功率输出最大化,从而最大化其阵列效率。本文提出了一种基于模糊逻辑理论的光伏系统最大功率点跟踪器(MPPT)。这项工作集中在众所周知的扰动和观察(P&O)算法上,并与设计的模糊逻辑控制器(FLC)进行了比较。 MPPT控制器的仿真工作;实现了向负载供电的DC / DC Fuk转换器。结果表明,所提出的模糊逻辑MPPT在光伏系统中是有效的。

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