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Improved Social Ski Driver-Based MPPT for Partial Shading Conditions Hybridized With Constant Voltage Method for Fast Response to Load Variations
IEEE Transactions on Sustainable Energy ( IF 8.8 ) Pub Date : 2021-06-11 , DOI: 10.1109/tste.2021.3088119
Immad Shams , Saad Mekhilef , Kok Soon Tey

In this paper, an Improved Social Ski Driver based MPPT algorithm (ISSD-MPPT) has been proposed. Single dynamic tuning parameter making the algorithm implementation simpler as compared to the others. Besides, the ISSD-MPPT also increased the convergence speed (CS) by 38.75% compared to the conventional Social Ski Driver algorithm (SSD). Then, a new approach to increase the response speed during load variations, which is applicable in any conventional dc-dc converter, has been proposed. Different complex Partial Shading Conditions (PSCs) were tested on a buck-boost converter with an average tracking time less than 1s and a tracking efficiency of 99.8%. The MPPT rating through rating computation technique proved the proposed method consists of a higher number of features, with fast CS for irradiance and load variations, along with the low power fluctuations during the tracking state.

中文翻译:

改进的基于社会滑雪驱动器的 MPPT 用于部分阴影条件与恒压方法混合,以快速响应负载变化

在本文中,提出了一种基于改进社会滑雪驱动程序的 MPPT 算法(ISSD-MPPT)。与其他算法相比,单个动态调整参数使算法实现更简单。此外,与传统的社交滑雪驱动算法(SSD)相比,ISSD-MPPT 还提高了 38.75% 的收敛速度(CS)。然后,提出了一种在负载变化期间提高响应速度的新方法,该方法适用于任何传统的 DC-DC 转换器。不同复杂的局部阴影条件 (PSC) 在降压-升压转换器上进行了测试,平均跟踪时间小于 1s,跟踪效率为 99.8%。通过评级计算技术的 MPPT 评级证明所提出的方法包含更多的特征,具有针对辐照度和负载变化的快速 CS,
更新日期:2021-06-11
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