Maximum power point tracking using fuzzy logic based controllers compared to P&O technique in photovoltaic generator

Manari Otmane, Zazi Malika, Chtouki Ihssane
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引用次数: 2

Abstract

The use of renewable energies has grown significantly in the world. Given the growing demand for electrical energy. In this paper we discuss the optimization of the production of a GPV by two different techniques MPPT. In order to make a full operation of photovoltaic array, its compulsory to inaugurate a protocol or an algorithm to help extract, track and maximize the available power, this technique is called Maximum Power Point Tracking (MPPT).A several number of technique has been presented, such as the classic techniques; Perturb and Observe (P&O) [1], and incremental conductance [2], which are largely used mostly due to their simplicity of implementation and less complexity. In this paper, a Fuzzy Logic Controller (FLC) based MPPT technique [3] is compared to conventional P&O technique. The simulation in MATLAB/Simulink environment reveals the superior performance of FLC based technique over P&O method.
基于模糊逻辑的光伏发电机组最大功率点跟踪与P&O技术的比较
可再生能源的使用在世界范围内显著增长。鉴于对电能的需求不断增长。本文讨论了两种不同的MPPT技术对GPV生产的优化。为了使光伏阵列充分运行,必须建立一种协议或算法来帮助提取、跟踪和最大化可用功率,这种技术称为最大功率点跟踪(MPPT)。提出了几种技术,如经典技术;摄动和观察(P&O)[1]和增量电导[2],这些方法被广泛使用,主要是因为它们实现简单,复杂性较低。本文将基于模糊逻辑控制器(FLC)的MPPT技术[3]与传统的P&O技术进行了比较。在MATLAB/Simulink环境下的仿真表明,基于FLC的技术优于P&O方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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