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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Iran University of Science and Technology
2025
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| 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 %. |
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