Wan Ismail, Ibrahim and Mohd Ikhwan, Abdul Hamid and Mohd Rusllim, Mohamed and Mohd Riduwan, Ghazali and Raja Ismail, Raja Mohd Taufika (2022) Sensorless Fuzzy Logic Controller (FLC) based maximum power point tracking (mppt) algorithm for hydrokinetic energy harnessing. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 391-396., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)
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Abstract
This paper presents a sensor-less control strategy based on the Fuzzy Logic Controller (FLC) Maximum Power Point Tracking Algorithm (MPPT) for stand-alone hydrokinetic energy harnessing in the river. The FLC MPPT algorithm was proposed due to the variation of the water velocity and the weakness of the conventional MPPT algorithm, such as the Perturb and Observe (P&O) MPPT algorithm under highly nonlinear water velocity. The hydrokinetic comprises a water turbine, permanent magnet synchronous generator (PMSG), passive rectifier, and DC boost converter. In this work, MATLAB/Simulink has been implemented to design the circuit topology for hydrokinetic technology. Then, the modeling of the complete system has been simulated under the different speeds of water velocities. The proposed FLC MPPT has been compared to the conventional P&O MPPT algorithm regarding power efficiency and tracking response time. The results show that the proposed FLC MPPT algorithm achieved an average 93 % efficiency in extracting the output power and a 35.49 % faster response time than the P&O MPPT algorithm.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | FLC; Hydrokinetic; MATLAB/Simulink; MPPT; P&O |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | College of Engineering Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 30 Aug 2024 00:27 |
| Last Modified: | 30 Aug 2024 00:27 |
| URI: | http://umpir.ump.edu.my/id/eprint/41973 |
| Download Statistic: | View Download Statistics |
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