D. J., Krishna Kishore and M. R., Mohamed and K., Sudhakar and K., Peddakapu (2022) An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions. In: Journal of Physics: Conference Series, Third International Conference on Emerging Electrical Energy, Electronics and Computing Technologies 2021 , 16-17 December 2021 , Virtual Conference. pp. 1-14., 2312 (012063). ISSN 1742-6588
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Abstract
The photovoltaic (PV) systems are performing a substantial role in electric power systems for generating electrical power in various uncertain circumstances. Nonetheless, the PV systems face numerous challenges for power production in the event of partial conditions. Moreover, different types of multiple peak power points (MPPP) are generated in the characteristics of the PV system under diverse partial patterns. The MPPP's having only one global maximum peak power (GMPP) and the remaining are local peak PowerPoints (LPPP), in which LPPP are interrupted to grab maximum power. Hence, improved grey wolf optimization (I-GWO) approach is developed in this work for enriching the required power generation at partial conditions. The proposed system has been designed in the MATLAB/Simulink environment. As per the simulation findings, the suggested I-GWO demonstrates great performance with regards to tracking time, accuracy, and efficiency as compared with other studied algorithms.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | GMPP; I-GWO; MPPP; Partial Conditions; Power System; PV system |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering College of Engineering Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 26 Oct 2022 02:06 |
| Last Modified: | 26 Oct 2022 02:06 |
| URI: | http://umpir.ump.edu.my/id/eprint/35436 |
| Download Statistic: | View Download Statistics |
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