Variable step-size hill-climbing search (VS-HCS) MPPT algorithm for hydrokinetic energy harnessing

Hydrokinetic energy harnessing has emerged as a promising renewable energy that utilizes the kinetic energy of moving water to generate electricity. Nevertheless, the variation and fluctuation of water velocity and turbulence flow in a river is a challenging issue, especially in designing a control...

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Bibliographic Details
Main Authors: Wan Ismail, Ibrahim, Nasiruddin, Sadan, Noor Lina, Ramli, Mohd Riduwan, Ghazali, Ilham, Fuad
Format: Article
Language:en
Published: Iran University of Science and Technology 2025
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/44333/1/Variable%20step-size%20hill-climbing%20search%20%28VS-HCS%29%20MPPT%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/44333/
https://doi.org/10.22068/IJEEE.21.2.3583
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Summary:Hydrokinetic energy harnessing has emerged as a promising renewable energy that utilizes the kinetic energy of moving water to generate electricity. Nevertheless, the variation and fluctuation of water velocity and turbulence flow in a river is a challenging issue, especially in designing a control system that can harness the maximum output power with high efficiency. Besides, the conventional Hill-climbing Search (HCS) MPPT algorithm has weaknesses, such as slow tracking time and producing high steady-state oscillation, which reduces efficiency. In this paper, the Variable-Step Hill Climbing Search (VS-HCS) MPPT algorithm is proposed to solve the limitation of the conventional HCS MPPT. The model of hydrokinetic energy harnessing is developed using MATLAB/Simulink. The system consists of a water turbine, permanent magnet synchronous generator (PMSG), passive rectifier, and DC-DC boost converter. The results show that the power output achieves a 28 % increase over the system without MPPT and exhibits the lowest energy losses with a loss percentage of 0.9 %.