A comparison between MPC, Perturb & Observe, and Incremental Conductance Method

Chaymae Boubii, Brahim El Bhiri, I. E. Kafazi, R. Bannari
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Abstract

The permanent change in the climate, in particular the change in temperature and solar radiation, directly affects the amount of photovoltaic energy obtained. For this, scientists have used a technology that follows the maximum power point to ensure a continuous harvest of maximum power. This technology is the MPPT. Despite the varying temperature, irradiation, or shading effects, the latter is used to derive the MPP. This method allows us to manage the necessary energy with fewer panels while also lowering the expense of extending the photovoltaic frame. Numerous regular and atypical MPPT calculations exist. This paper aims to study and analyze one of the MPPT programming methods, precisely the predictive control model approach. This method has become more interesting daily because of its optimal results compared to the results of the two traditional MPPT algorithms (the P&O and the InC). So, we used this article to simulate MPC algorithm in the MATLAB/SIMULINK software.
MPC法、摄动观察法和增量电导法的比较
气候的永久变化,特别是温度和太阳辐射的变化,直接影响光伏能源的获得量。为此,科学家们采用了一种跟踪最大功率点的技术,以确保持续获取最大功率。这项技术就是MPPT。尽管温度、辐照或遮阳影响不同,但后者用于推导MPP。这种方法使我们能够用更少的面板来管理必要的能量,同时也降低了扩展光伏框架的费用。存在许多规则的和非典型的MPPT计算。本文旨在研究和分析一种MPPT编程方法,即预测控制模型方法。由于与两种传统的MPPT算法(P&O和InC)的结果相比,这种方法的结果更优,因此它变得越来越有趣。因此,本文利用MATLAB/SIMULINK软件对MPC算法进行了仿真。
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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