Maximum Power Point Tracking (MPPT) Based Particle Swarm Optimization (PSO) for hydrokinetic energy harnessing

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)

Pdf 978-981-97-3847-2-377-388.pdf Restricted to Repository staff only Download (475kB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Hydrokinetic; MPPT; PSO
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering Institute of Postgraduate Studies
Depositing User:	Dr. Wan Ismail Ibrahim
Date Deposited:	26 Feb 2025 03:56
Last Modified:	26 Feb 2025 03:56
URI:	http://umpir.ump.edu.my/id/eprint/43896
Download Statistic:	View Download Statistics

Actions (login required)

View Item