Krishna Kishore, Dokala Janandra and Mohd Rusllim, Mohamed and Sudhakar, Kumarasamy and Peddakapu, kurukuri and D., Anantha koteswara Rao (2022) A hybrid PEO based maximum power point tracking controller for pv system under partial shading conditions. In: The 6th National Conference for Postgraduate Research (NCON-PGR 2022) , 15 November 2022 , Virtual Conference, Universiti Malaysia Pahang, Malaysia. p. 63..
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Abstract
Solar photovoltaic (PV) energy plays a potential role in the generation of electricity and is eco-friendly to the environment. However, PV systems face the challenge to extract maximum peak power (MPP) on the account of partial shading conditions (PSC). To encounter this problem previously various conventional and soft computing based maximum power point tracking (MPPT) controllers are used to track the MPP. Nevertheless, inaccuracy occurred in the tracking of MPP, hence in this paper, a new metaheuristic hybrid method is introduced such as premature equilibrium optimizer (PEO). This PEO method acts as an MPPT controller and can track the MPP without any oscillation under PSC and has less convergence time, settling time and high efficiency.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Maximum peak power (MPP); Maximum power point tracking (MPPT); Partial shading conditions (PSC); Photovoltaic (PV); Premature equilibrium optimizer (PEO). |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 17 Jan 2023 06:52 |
| Last Modified: | 17 Jan 2023 06:52 |
| URI: | http://umpir.ump.edu.my/id/eprint/36728 |
| Download Statistic: | View Download Statistics |
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