Implementation Of Maximum Power Point Tracking Based On Perturb and Observe Algorithm For Photovoltaic, Wind Turbine, and Fuel Cell Hybrid System

2020 International Seminar on Application for Technology of Information and Communication (iSemantic) Pub Date : 2020-09-19 DOI:10.1109/iSemantic50169.2020.9234193

Soedibyo, Avian Lukman Setya Budi, M. Ashari, Hilman Ridho, F. Pamuji

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引用次数: 6

Abstract

Photovoltaic, wind turbine, and fuel cell can produce electrical energy by utilizing renewable energy. The energy is clean and unlimited. Photovoltaic (PV), wind turbine, and fuel cell hybrid system has high reliability and can produce more energy than the standalone PV system. MPPT (Maximum Power Point Tracking) is needed to maximize the input power by placing the input current and voltage at the maximum point on both voltage and current, so the power produced is also at the maximum point. But there is a problem of integrating method of the power generator since the constraint of the parallel generator operation should be have the same voltage level. In this paper, will be discussed about the P&O method, that can be used for various characteristics of PV and does not require information of wind turbine characteristics. As the results, Perturb and Observe (P&O) algorithm on multi-input DC/DC converter can maximize the output power up to 125,87% more power. Hopefully with this research, it can help the advancement of the renewable energy electricity generation research in the future.

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基于摄动和观测算法的光伏、风力发电和燃料电池混合系统最大功率点跟踪实现

光伏、风力涡轮机和燃料电池可以利用可再生能源产生电能。能源是清洁和无限的。光伏(PV)、风力涡轮机和燃料电池混合系统具有高可靠性，并且可以比独立的光伏系统产生更多的能量。需要MPPT(最大功率点跟踪)，通过将输入电流和电压置于电压和电流的最大点，使输入功率最大化，因此产生的功率也处于最大点。但由于并联发电机的运行约束必须具有相同的电压水平，因此存在发电机积分方法的问题。本文将讨论P&O方法，该方法可用于光伏的各种特性，并且不需要风力机特性的信息。结果表明，在多输入DC/DC变换器上采用P&O (Perturb and Observe)算法可使输出功率最大提高12.7%。希望通过本研究对未来可再生能源发电研究的推进有所帮助。

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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2020 International Seminar on Application for Technology of Information and Communication (iSemantic)

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