Evaluating the effects of maximum power point tracking techniques on the reliability of grid-connected photovoltaic systems

H. Afrakhte, P. Bayat, P. Bayat
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Abstract

Despite all the advantages presented by the generation of energy through photovoltaic (PV) cells, the efficiency of energy conversion is currently low, and the initial cost for its implementation is still considered high; thus, it becomes necessary to use techniques to extract the maximum power from these panels, in order to achieve maximum efficiency in operation. In this paper, in order to evaluate the effects of maximum power point tracking (MPPT) techniques on the reliability of grid-connected PV systems, different MPPT techniques employed in PV systems are discussed according to a classification scheme as offline methods, online methods, and hybrid methods. The recursive least squares (RLS) identification algorithm uses to identify local PV system model parameters under different MPPT method. For proper separation of each MPPT method, variation of irradiation is considered as variation of set point. The simulation result shows that, there is direct relations between MPPT methods and overall reliability of the PV system. For this purpose, simulations were made in MATLAB/SIMULINK environment.
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评估最大功率点跟踪技术对并网光伏系统可靠性的影响
尽管通过光伏(PV)电池发电具有所有优点,但目前能量转换的效率较低,并且其实施的初始成本仍然被认为是高的;因此,有必要使用技术从这些面板中提取最大功率,以达到最大的运行效率。为了评估最大功率点跟踪(MPPT)技术对并网光伏系统可靠性的影响,本文根据离线方法、在线方法和混合方法的分类方案,对光伏系统中采用的不同最大功率点跟踪技术进行了讨论。采用递推最小二乘(RLS)识别算法对不同MPPT方法下的局部光伏系统模型参数进行识别。为了使每一种MPPT方法正确分离,辐照的变化被认为是设定点的变化。仿真结果表明,MPPT方法与光伏系统整体可靠性有直接关系。为此,在MATLAB/SIMULINK环境下进行了仿真。
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