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Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

机译:PV MPPT技术的批判性评论:经典,智能和优化

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摘要

Maximum power extraction from the photovoltaic (PV) system plays a critical role in increasing efficiency during partial shading conditions (PSC's). The higher cost and low conversion efficiency of the PV panel necessitate the extraction of the maximum power point (MPP). So, a suitable maximum power point tracking (MPPT) technique to track the MPP is of high need, even under PSC's. This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies. MPPT classification is done into three categories, i.e. Classical, Intelligent and Optimisation depending on the tracking algorithm utilised. During uniform insolation, classical methods are highly preferred as there is only one peak in theP-Vcurve. However, under PSC's, theP-Vcurve exhibits multiple peaks, one global MPP (GMPP) and the remaining are local MPPs. Hence, Intelligent and Optimisation techniques came into limelight to differentiate the GMPP out of all LMPPs. Every MPPT technique has its advantages and limits, but a streamlined MPPT is drafted in numerous parameters like sensors required, hardware implementation, tracking in PSC's, cost, tracking speed and tracking efficiency. This present study aimed to address the advancement in this area for further research.
机译:光伏(PV)系统的最大功率提取在局部遮阳条件(PSC)期间的效率上升起到关键作用。 PV面板的成本越高和低转换效率需要提取最大功率点(MPP)。因此,即使在PSC下,追踪MPP的合适的最大功率点跟踪(MPPT)技术也很有需求。该研究提供了对文献中存在的23个MPPT技术以及最近的各种硬件设计方法的出版物进行了广泛的综述。 MPPT分类是分为三类,即,经典,智能和优化,具体取决于所使用的跟踪算法。在均匀呈现期间,古典方法是非常优选的,因为在-Vcurve中只有一个峰值。但是,在PSC之下,THEP-VCurve展示了多个峰值,一个全局MPP(GMPP)和剩余的是本地MPP。因此,智能化和优化技术进入了较轻的,使GMPP与所有LMPP分化出来。每个MPPT技术都具有其优缺点和限制,但简化的MPPT在许多参数中起草,如传感器所需的传感器,硬件实现,以PSC,成本,跟踪速度和跟踪效率进行跟踪。本研究旨在解决这一领域的进一步研究的进步。

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