Abstract

Maximum power point tracking (MPPT) is essential for photovoltaic systems to ensure a maximum power extraction from PV panels. However, some issues such as oscillations, power loss and other technical aspects still unsolved. This paper presents and discusses a new MPPT algorithm with zero-oscillations and unity efficiency in transient and steady-states. This algorithm leads to track the maximum power point under extreme operating conditions. The proposed MPPT method is based on the simple adaptive linear neuron. In addition, its implementation is achieved without any additional control loop, which resulted in a simple control. In order to validate the proposal effectiveness, both simulation and experiment tests are carried out under variable irradiance and load. Comparison between the developed MPPT and the conventional perturb and observe algorithm is also performed. Obtained results show that with the proposed method, unity efficiency is reached and oscillations are fully removed in the transient and steady-states. The originality of this work is the design of a simple and efficient MPPT algorithm based on the ADALINE with unity efficiency and zero-oscillations. Moreover, the proposal is verified using a real PV system under irradiance and load changes.

中文翻译：

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光伏系统基于单位效率和零振荡的MPPT

摘要

最大功率点跟踪（MPPT）对于光伏系统至关重要，以确保从PV面板提取最大功率。但是，诸如振荡，功率损耗和其他技术方面的一些问题仍未解决。本文介绍并讨论了一种新的MPPT算法，该算法在瞬态和稳态下具有零振荡和单位效率。该算法可在极端工作条件下跟踪最大功率点。提出的MPPT方法基于简单的自适应线性神经元。此外，无需任何额外的控制回路即可实现其实现，从而实现了简单的控制。为了验证建议的有效性，在可变辐照度和负载下都进行了仿真和实验测试。还对已开发的MPPT与常规扰动和观察算法进行了比较。所得结果表明，所提出的方法达到了单位效率，并且在瞬态和稳态下完全消除了振荡。这项工作的独创性是基于ADALINE的简单高效的MPPT算法的设计，具有统一效率和零振荡。此外，该提案在辐照度和负载变化下使用了真实的光伏系统进行了验证。