Ahmed, Sajib and Mekhilef, Saad and Mubin, Marizan and Tey, Kok Soon and Kermadi, Mostefa (2023) An adaptive perturb and observe algorithm with enhanced skipping feature for fast global maximum power point tracking under partial shading conditions. IEEE Transactions on Power Electronics, 38 (9). pp. 11601-11613. ISSN 0885-8993, DOI https://doi.org/10.1109/TPEL.2023.3285243.
Full text not available from this repository.Abstract
Solar energy exposed its prominence to diminish the growing energy demands. But the formation of multiple peaks under partial shading conditions causes the conventional maximum power point tracking controllers to fail to track the global maximum power point (GMPP). Scanning the whole power-voltage curve to locate the GMPP takes extreme time and reduces algorithm effectiveness. Thus, the proposed method devotes the skipping and scanning mechanism incorporated with the perturb and observe (P & O) algorithm to reduce the scanning area drastically. The skipping mechanism skips over the scanning areas between successive peaks based on a specific formula that narrows down the scanning zone. Along with a buck-boost converter, the system includes a voltage control loop controlled by a proportional-integral controller. The proposed algorithm's effectiveness is tested in both simulation and experimental environments on discretized partial shading patterns, while GMPP is deployed at different locations. According to the experimental outcomes, the proposed algorithm outperforms the modified maximum power trapezium, skipping fast GMPP, modified cuckoo search, and the conventional P & O algorithm with an average convergence time of 1.02 s and average efficiency of 99.44%.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia [Grant no. FRGS/1/2020/TK0 /UM/02/15], Universiti Malaya [Grant no. MG021-2022] |
| Uncontrolled Keywords: | Global maximum power point (GMPP); Maximum power point tracking (MPPT); Partial shading condition (PSC); Perturb and observe (P & O) |
| 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. Juhaida Abd Rahim |
| Date Deposited: | 18 Oct 2025 13:28 |
| Last Modified: | 18 Oct 2025 13:28 |
| URI: | http://eprints.um.edu.my/id/eprint/48148 |
Actions (login required)
 |
View Item |
