Comparison between P&O and P.S.O methods based MPPT algorithm for photovoltaic systems

H. Chaieb, A. Sakly
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引用次数: 20

Abstract

Maximum power point tracking (M.P.P.T) considered having a notable role to take out power from photovoltaic (PV) system. Literatures propose a lot of MPPT algorithms that can go after the maximum power point. Indeed this paper report a comparative study between perturb and observe (PandO) as conventional method and the non conventional particle swarm optimization (PSO) method using same load and weather conditions. Simulink is used to program algorithms that run on the Arduino UNO, an inexpensive, open-source microcontroller board, features Atmel ATmega328P microcontroller that provides digital, analog connectivity and serial communications. This technique allows us a real time parameter tuning and signal monitoring of running applications.
光伏系统MPPT算法P&O与P.S.O方法的比较
最大功率点跟踪技术在光伏发电系统中具有重要的应用价值。文献中提出了许多可以追求最大功率点的MPPT算法。在相同的负荷和天气条件下,本文对传统的扰动观测方法(PandO)和非常规粒子群优化方法(PSO)进行了比较研究。Simulink用于编程在Arduino UNO上运行的算法,Arduino UNO是一种廉价的开源微控制器板,具有Atmel ATmega328P微控制器,提供数字,模拟连接和串行通信。这项技术允许我们对运行中的应用程序进行实时参数调整和信号监控。
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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