基于P&O法和模糊逻辑法的太阳能光伏阵列最大功率点跟踪比较研究

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI:10.1109/IRASET57153.2023.10152982

Karima Et-torabi, A. Mesbahi, M. Khafallah, Souhail Barakat, Yahya Aljarhizi, Ahmed Arif

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引用次数: 0

摘要

在白天，温度和辐照度会发生变化，因此，在某些环境条件下获得最大可用功率可能是复杂的，需要一套旨在跟踪最大可用功率的技术。针对这一问题，本研究提出了一种智能模糊控制器，用于最大功率点跟踪(MPPT)来控制光伏系统。在该系统中，PV阵列连接到DC-DC增压器、MPPT控制器和负载。将FLC法与常规P&O法的结果进行了比较。Matlab/Simulink仿真结果表明，该算法对MPP的跟踪响应更有效，特别是在大气快速变化时，能有效地降低振荡。

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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A Comparative Study of Maximum Power Point Tracking (MPPT) Using P&O Method and Fuzzy Logic Method in Solar PV Array

During the day, the temperature and irradiance change, Therefore, attaining the maximum available power under certain environmental conditions may be complex and requires a set of techniques aimed at tracking the maximum available power. To address this problem, in this study, an intelligent fuzzy controller is proposed for maximum power point tracking (MPPT) to control photovoltaic systems. PV arrays are connected to DC-DC boosters, MPPT controllers, and loads in this system. A comparison is made between the results obtained using the FLC and those obtained using the conventional P&O method. Simulation results with Matlab/Simulink show that the proposed algorithm has a more effective response in tracking the MPP, which decreases oscillations especially during rapid atmospheric changes.

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2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

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