Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing

Hydrokinetic turbines based on rivers are environmentally friendly technology that has increased interest in advanced scientific research during the last decade. The kinetic energy formed from the water stream can be harnessed as long as the water is flowing. Nevertheless, the variation and fluctuat...

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Main Authors: Nasiruddin, Sadan, Wan Ismail, Ibrahim
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42100/
http://umpir.ump.edu.my/id/eprint/42100/1/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42100/2/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm%20for%20hydrokinetic%20energy%20harnessing_ABS.pdf
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author Nasiruddin, Sadan
Wan Ismail, Ibrahim
author_facet Nasiruddin, Sadan
Wan Ismail, Ibrahim
author_sort Nasiruddin, Sadan
building UMP Institutional Repository
collection Online Access
description Hydrokinetic turbines based on rivers are environmentally friendly technology that has increased interest in advanced scientific research during the last decade. The kinetic energy formed from the water stream can be harnessed as long as the water is flowing. Nevertheless, the variation and fluctuation of water current speed and turbulence flow in a river is the main issue, especially in designing a control system that can harness the maximum output with high efficiency. Various methods and techniques have been applied in hydrokinetic energy conversion systems to extract maximum power. This paper presents the performance of the Hill Climbing Search (HCS) MPPT Algorithm in hydrokinetic energy harnessing in terms of steady-state oscillation, time tracking, and efficiency. The model of hydrokinetic energy harnessing is developed using MATLAB/Simulink that comprises a water turbine, permanent magnet synchronous generator (PMSG), passive rectifier, and DC boost converter. The MPPT algorithm can be employed in the DC boost converter by regulating the ratio of the duty cycle. The results show the HCS MPPT algorithm reduced the steady-state oscillation, rapid time tracking and improved 93.75% of efficiency.
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format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T03:46:07Z
publishDate 2022
publisher Institution of Engineering and Technology
recordtype eprints
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spelling ump-421002024-09-30T04:45:30Z http://umpir.ump.edu.my/id/eprint/42100/ Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing Nasiruddin, Sadan Wan Ismail, Ibrahim T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Hydrokinetic turbines based on rivers are environmentally friendly technology that has increased interest in advanced scientific research during the last decade. The kinetic energy formed from the water stream can be harnessed as long as the water is flowing. Nevertheless, the variation and fluctuation of water current speed and turbulence flow in a river is the main issue, especially in designing a control system that can harness the maximum output with high efficiency. Various methods and techniques have been applied in hydrokinetic energy conversion systems to extract maximum power. This paper presents the performance of the Hill Climbing Search (HCS) MPPT Algorithm in hydrokinetic energy harnessing in terms of steady-state oscillation, time tracking, and efficiency. The model of hydrokinetic energy harnessing is developed using MATLAB/Simulink that comprises a water turbine, permanent magnet synchronous generator (PMSG), passive rectifier, and DC boost converter. The MPPT algorithm can be employed in the DC boost converter by regulating the ratio of the duty cycle. The results show the HCS MPPT algorithm reduced the steady-state oscillation, rapid time tracking and improved 93.75% of efficiency. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42100/1/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/42100/2/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm%20for%20hydrokinetic%20energy%20harnessing_ABS.pdf Nasiruddin, Sadan and Wan Ismail, Ibrahim (2022) Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 371-376., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2646
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nasiruddin, Sadan
Wan Ismail, Ibrahim
Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title_full Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title_fullStr Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title_full_unstemmed Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title_short Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
title_sort hill-climbing search (hcs) mppt algorithm for hydrokinetic energy harnessing
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/42100/
http://umpir.ump.edu.my/id/eprint/42100/
http://umpir.ump.edu.my/id/eprint/42100/1/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42100/2/Hill-Climbing%20Search%20%28HCS%29%20mppt%20algorithm%20for%20hydrokinetic%20energy%20harnessing_ABS.pdf