Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing
This paper presents a design and modeling of the Particle Swarm Optimization (PSO)-based maximum power point tracking (MPPT) algorithm specifically tailored for variable-speed fixed-pitch vertical axis hydrokinetic turbines. The proposed algorithm can maximize electrical power without requiring addi...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43896/ http://umpir.ump.edu.my/id/eprint/43896/1/978-981-97-3847-2-377-388.pdf |
| _version_ | 1848826984745926656 |
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| author | Wan Ismail, Ibrahim Mohd Rusllim, Mohamed Raja Mohd Taufika, Raja Ismail Mohd Riduwan, Ghazali Ping, C. L. X. |
| author_facet | Wan Ismail, Ibrahim Mohd Rusllim, Mohamed Raja Mohd Taufika, Raja Ismail Mohd Riduwan, Ghazali Ping, C. L. X. |
| author_sort | Wan Ismail, Ibrahim |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents a design and modeling of the Particle Swarm Optimization (PSO)-based maximum power point tracking (MPPT) algorithm specifically tailored for variable-speed fixed-pitch vertical axis hydrokinetic turbines. The proposed algorithm can maximize electrical power without requiring additional sensors and prior knowledge of the water turbine characteristics. Unlike the conventional MPPT algorithm, the PSO-based MPPT algorithm exhibits minimal oscillations at the maximum power once the true peak is located. The PSO MPPT algorithm is characterized by its simplicity, flexibility, accuracy, and efficiency in tracking the maximum power under different water velocities. The simulation results by MATLAB/Simulink indicated that the PSO MPPT can achieve 83% efficiency in terms of output power and reduce the oscillation during dynamic steady-state. |
| first_indexed | 2025-11-15T03:53:30Z |
| format | Conference or Workshop Item |
| id | ump-43896 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:53:30Z |
| publishDate | 2024 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-438962025-02-26T03:56:11Z http://umpir.ump.edu.my/id/eprint/43896/ Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing Wan Ismail, Ibrahim Mohd Rusllim, Mohamed Raja Mohd Taufika, Raja Ismail Mohd Riduwan, Ghazali Ping, C. L. X. TK Electrical engineering. Electronics Nuclear engineering This paper presents a design and modeling of the Particle Swarm Optimization (PSO)-based maximum power point tracking (MPPT) algorithm specifically tailored for variable-speed fixed-pitch vertical axis hydrokinetic turbines. The proposed algorithm can maximize electrical power without requiring additional sensors and prior knowledge of the water turbine characteristics. Unlike the conventional MPPT algorithm, the PSO-based MPPT algorithm exhibits minimal oscillations at the maximum power once the true peak is located. The PSO MPPT algorithm is characterized by its simplicity, flexibility, accuracy, and efficiency in tracking the maximum power under different water velocities. The simulation results by MATLAB/Simulink indicated that the PSO MPPT can achieve 83% efficiency in terms of output power and reduce the oscillation during dynamic steady-state. Springer 2024-10-02 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43896/1/978-981-97-3847-2-377-388.pdf Wan Ismail, Ibrahim and Mohd Rusllim, Mohamed and Raja Mohd Taufika, Raja Ismail and Mohd Riduwan, Ghazali and Ping, C. L. X. (2024) Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing. In: Proceedings of the 7th International Conference on Electrical, Control and Computer Engineering–Volume 1. 7th International Conference on Electrical, Control, and Computer Engineering (InECCE 2023) , 22 Aug 2023 , Kuala Lumpur, Malaysia. pp. 1-12., 1212. ISBN 978-981-97-3847-2 (Published) https://doi.org/10.1007/978-981-97-3847-2_33 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Wan Ismail, Ibrahim Mohd Rusllim, Mohamed Raja Mohd Taufika, Raja Ismail Mohd Riduwan, Ghazali Ping, C. L. X. Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title | Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title_full | Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title_fullStr | Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title_full_unstemmed | Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title_short | Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing |
| title_sort | maximum power point tracking (mppt) based particle swarm optimization (pso) for hydrokinetic energy harnessing |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/43896/ http://umpir.ump.edu.my/id/eprint/43896/ http://umpir.ump.edu.my/id/eprint/43896/1/978-981-97-3847-2-377-388.pdf |