不同MPPT算法与单轴太阳跟踪器实现的比较研究

R.K Harini, J. Hari Krishna, A. Haneela Reddy, A. Sneha, R. Jayabarathi
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引用次数: 1

摘要

由于不可再生能源的枯竭,世界正迅速向太阳能、风能和水力等可再生能源发展。在可再生能源中,太阳能被广泛使用。本文涉及最大功率点跟踪(MPPT)算法的仿真,如扰动和观察(P&O),灰狼优化(GWO)和粒子群优化(PSO)。在Arduino UNO微控制器中实现单轴太阳能跟踪器,通过全天跟踪太阳来获得最大的能量输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Study of Different MPPT Algorithms and Implementation of Single Axis Solar Tracker
The world is fast moving towards renewable sources of energy like Solar, Wind and Hydro due to the depletion of non-renewable energy sources. Among the renewable energy sources, solar is widely used. This paper involves the simulation of Maximum Power Point Tracker (MPPT) algorithms like Perturb and Observe (P&O), Grey Wolf optimisation (GWO) and Particle Swarm optimisation (PSO). A Single Axis Solar Tracker is implemented in Arduino UNO microcontroller to get maximum energy output by tracking the sun throughout the day.
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