Shams, Immad and Mekhilef, Saad and Tey, Kok Soon (2021) 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, 12 (4). pp. 2255-2267. ISSN 1949-3029, DOI https://doi.org/10.1109/TSTE.2021.3088119.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | University of Malaya under UM Living Lab Grant Programme-SUS (Sustainability Science) (LL054-2021), NICOP research (N62909-18-1-2030), NICOP research (IF011-2018) |
| Uncontrolled Keywords: | Maximum power point trackers; Optimization; Load management; Heuristic algorithms; Maximum power point tracking; Partial shading condition; Global maximum power point; Social ski-driver algorithm; Metaheuristic algorithm |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Jun 2022 03:53 |
| Last Modified: | 13 Jun 2022 03:53 |
| URI: | http://eprints.um.edu.my/id/eprint/27604 |
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