太阳能光伏 MPPT 方法概述:传统和人工智能控制技术的最新进展

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC International Transactions on Electrical Energy Systems Pub Date : 2024-04-17 DOI:10.1155/2024/8363342
Debabrata Mazumdar, Chiranjit Sain, Pabitra Kumar Biswas, P. Sanjeevikumar, Baseem Khan
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引用次数: 0

摘要

可再生能源具有与生俱来的能力和环保特性,是现代生产无污染能源的唯一真正选择。太阳能是为人类文明提供所需电力和能源的最佳选择之一。研究人员可以通过使用最大功率点跟踪(MPPT)方法有效提高光伏电池板的效率,从电池板中提取最多的电能并输送给负载。本研究的作者对太阳能光伏电池研究从一个十年到下一个十年的连续进展进行了研究和调查,并详细阐述了即将出现的趋势和行为。本著作从结构上总结了许多最大功率点跟踪算法(MPPT),这些算法在光伏系统(PVS)中使用,可在均匀和部分遮阳的情况下发挥作用。在对光伏组件的特点进行详尽描述后,还介绍了各种有效的控制策略,包括基于人工智能的控制器和传统控制器。此外,当光伏系统暴露在部分遮阳下时,对各种控制器的适当了解是至关重要的,同时要牢记在这种情况下不同控制系统的分类。本文还对几种基于软计算的技术以及许多基于经典控制器的光伏系统进行了深入分析。首先使用的是成熟的传统 MPPT 方法,然后是基于人工智能的 MPPT 方法。随后,对各种 MPPT 控制方法进行了全面比较。对于在部分遮阳条件(PSCs)下运行的光伏系统,概述、对比和评估了各种 MPPT 技术的优缺点。此外,还探讨了 MPPT 的未来研究方向。此外,还介绍了从各种研究文章中收集到的有关各种控制过程的数据集。研究基于光伏的 MPPT 的研究人员,以及可再生能源生产和环境可持续发展领域的研究人员会对本综述研究的结果非常感兴趣。
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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Overview of Solar Photovoltaic MPPT Methods: A State of the Art on Conventional and Artificial Intelligence Control Techniques

Due to their inherent ability and environmentally friendly nature, renewable energy sources are the only real option for producing pollution-free energy in the modern era. Solar energy is one of the best possibilities in this family for supplying civilization with the power and energy it needs. Researchers can efficiently boost a PV panel’s efficiency by using the maximum power point tracking (MPPT) approach to extract the most power from the panel and send it to the load. The authors of this study examined and surveyed the sequential advancement of solar PV cell research from one decade to the next, and they elaborated on the upcoming trends and behaviours. Many maximum power point tracking algorithms (MPPTs) that are employed in photovoltaic systems (PVSs) that function under both uniform and partial shade situations are structurally summarized in this work. Well-written descriptions of the features of photovoltaic modules are followed by a variety of effective control strategies, including both AI-based and traditional controllers. In addition, appropriate knowledge of the various controllers is essential when the PV system is exposed to partial shade, keeping in mind the different control systems’ classifications in this situation. A thorough analysis of several soft computing-based techniques is also included, as well as many classical controller-based PV systems. First, well-developed traditional MPPT methods are used, followed by artificial intelligence-based MPPT approaches. Later, a thorough comparison of the various MPPT-controlling approaches is established. For PV systems operating under partial shade conditions (PSCs), the advantages and disadvantages of the various MPPT techniques are outlined, contrasted, and assessed. Future research directions for MPPT are also being investigated. A collection of several datasets pertaining to various control processes that were gleaned from various research articles has also been presented. Researchers working on PV-based MPPT and those working in the sectors of renewable energy production and environmentally sustainable development would be very interested in the findings of this review study.

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来源期刊
International Transactions on Electrical Energy Systems
International Transactions on Electrical Energy Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
6.70
自引率
8.70%
发文量
342
期刊介绍: International Transactions on Electrical Energy Systems publishes original research results on key advances in the generation, transmission, and distribution of electrical energy systems. Of particular interest are submissions concerning the modeling, analysis, optimization and control of advanced electric power systems. Manuscripts on topics of economics, finance, policies, insulation materials, low-voltage power electronics, plasmas, and magnetics will generally not be considered for review.
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