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Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)

The aim of this research is to explore a technique that can be implemented to the Variable Speed Micro-hydro Power Generation (VS-MHPG) system to search the optimum operating point for the maximum power extraction. MicroHydro that operates in variable speed mode are sensitive to the changes of flow...

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Main Authors: Kit, Guan Lim, Mohd Izzat Fikri Md Zainal, Min, Keng Tan, Ahmad Razani Haron, Chang, Yii Chai, Teo, Kenneth Tze Kin
Format: Proceedings
Language:English
English
Published: Institute of Electrical and Electronics Engineers 2022
Subjects:
Q300-390 Cybernetics
Online Access:https://eprints.ums.edu.my/id/eprint/38664/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38664/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/38664/
https://ieeexplore-ieee-org.ezproxy.ums.edu.my/document/9936753
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spelling my.ums.eprints.386642024-05-13T07:30:46Z https://eprints.ums.edu.my/id/eprint/38664/ Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO) Kit, Guan Lim Mohd Izzat Fikri Md Zainal Min, Keng Tan Ahmad Razani Haron Chang, Yii Chai Teo, Kenneth Tze Kin Q300-390 Cybernetics The aim of this research is to explore a technique that can be implemented to the Variable Speed Micro-hydro Power Generation (VS-MHPG) system to search the optimum operating point for the maximum power extraction. MicroHydro that operates in variable speed mode are sensitive to the changes of flow rate and proved to have wide operating point. The Perturb and Observe (P&O) based maximum power point tracking (MPPT) was applied to the VS-MH and based on simulation. However, oscillation occur at maximum point due to the large perturbation speed. The existing Micro-hydro Power Generation (MHPG) system commonly suffers from the nonoptimal input control as the controller estimate the changes of flow rate without anticipating the global maximum power curve. Hence the implementation of P&O based MPPT is expected to improve the efficiency of MHPG system while reducing the fluctuation of output power. Results show that the value of perturbation speed affects the performance of MPPT algorithm to search the maximum operating point. Low perturbation signal requires many numbers of iteration before it reaches the steady state. Meanwhile, high perturbation signal will cause the fluctuation that led to unstable power production. Thus, new method was introduced which is Particle Swarm Optimization (PSO) that is expected to improve the performance of conventional MPPT. Simulation result shows that PSO based MPPT was able to track the global maximum point under extreme condition with no power fluctuation compared to P&O MPPT. Also, PSO based MPPT provides adaptive perturbation speed that show improvement in maximum power tracking by 20.88%. Institute of Electrical and Electronics Engineers 2022 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/38664/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38664/2/FULLTEXT.pdf Kit, Guan Lim and Mohd Izzat Fikri Md Zainal and Min, Keng Tan and Ahmad Razani Haron and Chang, Yii Chai and Teo, Kenneth Tze Kin (2022) Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO). https://ieeexplore-ieee-org.ezproxy.ums.edu.my/document/9936753
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q300-390 Cybernetics
spellingShingle Q300-390 Cybernetics
Kit, Guan Lim
Mohd Izzat Fikri Md Zainal
Min, Keng Tan
Ahmad Razani Haron
Chang, Yii Chai
Teo, Kenneth Tze Kin
Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
description The aim of this research is to explore a technique that can be implemented to the Variable Speed Micro-hydro Power Generation (VS-MHPG) system to search the optimum operating point for the maximum power extraction. MicroHydro that operates in variable speed mode are sensitive to the changes of flow rate and proved to have wide operating point. The Perturb and Observe (P&O) based maximum power point tracking (MPPT) was applied to the VS-MH and based on simulation. However, oscillation occur at maximum point due to the large perturbation speed. The existing Micro-hydro Power Generation (MHPG) system commonly suffers from the nonoptimal input control as the controller estimate the changes of flow rate without anticipating the global maximum power curve. Hence the implementation of P&O based MPPT is expected to improve the efficiency of MHPG system while reducing the fluctuation of output power. Results show that the value of perturbation speed affects the performance of MPPT algorithm to search the maximum operating point. Low perturbation signal requires many numbers of iteration before it reaches the steady state. Meanwhile, high perturbation signal will cause the fluctuation that led to unstable power production. Thus, new method was introduced which is Particle Swarm Optimization (PSO) that is expected to improve the performance of conventional MPPT. Simulation result shows that PSO based MPPT was able to track the global maximum point under extreme condition with no power fluctuation compared to P&O MPPT. Also, PSO based MPPT provides adaptive perturbation speed that show improvement in maximum power tracking by 20.88%.
format Proceedings
author Kit, Guan Lim
Mohd Izzat Fikri Md Zainal
Min, Keng Tan
Ahmad Razani Haron
Chang, Yii Chai
Teo, Kenneth Tze Kin
author_facet Kit, Guan Lim
Mohd Izzat Fikri Md Zainal
Min, Keng Tan
Ahmad Razani Haron
Chang, Yii Chai
Teo, Kenneth Tze Kin
author_sort Kit, Guan Lim
title Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
title_short Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
title_full Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
title_fullStr Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
title_full_unstemmed Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
title_sort adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (pso)
publisher Institute of Electrical and Electronics Engineers
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/38664/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38664/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/38664/
https://ieeexplore-ieee-org.ezproxy.ums.edu.my/document/9936753
_version_ 1800089057370308608
score 13.211869

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