Ahmed, Sajib and Shams, Immad and Mekhilef, Saad and Soon, Tey Kok and Mubin, Marizan (2021) Comparative analysis of conventional and modified perturb and observe MPPT controllers under partial shading conditions. In: 9th International Renewable and Sustainable Energy Conference, IRSEC 2021, 23-27 November 2021, Virtual, Online.
Full text not available from this repository.Abstract
Sun-oriented energy is one of the most unswerving energy for its abundance, non-conventional, and pollution-free nature, and it is primarily reliant upon temperature and irradiance conditions. The current and voltage (I-V) curve shows a single peak point due to its non-linear relationship at uniform irradiance conditions. The maximum power point tracking (MPPT) controller is required for operating the solar photovoltaic system at its maximum power capability. Among many developed algorithms, perturb and observe (PO) is renowned for its flexibility and simple execution in low-cost devices. On the contrary, it has a downside during operation at partial shading condition (PSC). Therefore, to overcome the issue of PSCs, modified PO controllers is proposed in the literature. Here, the conventional PO algorithm is compared to three modified PO algorithms where modified algorithms can improve the performance of various features. The simulation study has been performed for all the proposed controllers under the same test conditions. © 2021 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia [Grant No: LRGS/1/2019/UKM-UM/01/6/3] |
| Uncontrolled Keywords: | Controllers; Solar cells; Solar power generation, Condition; Global maximum; Global maximum power point; Maximum power point; Maximum Power Point Tracking; Partial shading; Partial shading condition; Perturb and observe; Photovoltaic; Photovoltaics, Maximum power point trackers |
| Subjects: | T Technology > T Technology (General) 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: | 17 Jul 2024 07:31 |
| Last Modified: | 17 Jul 2024 07:31 |
| URI: | http://eprints.um.edu.my/id/eprint/36108 |
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