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Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization

This study aims to optimize a Photovoltaic-Thermoelectric standalone system with a battery storage system at the lowest cost of the system and acceptable reliability using particle swarm optimization algorithm (PSO). For this purpose, a comprehensive rule-based power management mechanism is proposed...

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Main Authors: Ganbasha, Munir, Ayop, Razman
Format: Conference or Workshop Item
Published: 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/98688/
http://dx.doi.org/10.1007/978-981-19-3923-5_40
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spelling my.utm.986882023-02-02T05:39:08Z http://eprints.utm.my/id/eprint/98688/ Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization Ganbasha, Munir Ayop, Razman TK Electrical engineering. Electronics Nuclear engineering This study aims to optimize a Photovoltaic-Thermoelectric standalone system with a battery storage system at the lowest cost of the system and acceptable reliability using particle swarm optimization algorithm (PSO). For this purpose, a comprehensive rule-based power management mechanism is proposed, which will coordinate the energy flow among the different system components that make up the stand-alone system. Following that, investigation and confirmation of the proposed PSO performance are carried out to determine the system’s optimum size. The proposed method’s ultimate objective is to minimize the cost of energy (COE) and the Loss of Power Supply Probability (LPSP). The proposed system is intended to meet the energy requirements of the FKE Building at UTM in Johor. This project takes annual temperature, solar irradiance, and load profile into account. The proposed PSO’s effectiveness in addressing the optimization problem is evaluated, and its performance is compared to the Iterative technique (IT) Algorithm. The suggested optimization methods are implemented in MATLAB via the simulation package. The simulation results demonstrate that PSO is capable of sizing the system optimally in comparison to Iterative technique (IT) algorithm. As result, the comparison of the algorithms reveals that PSO performed a superior result since it has the lowest COE (objective function), at RM0.5812/kW h, as compared to the iterative technique (IT) at RM0.5846 kW h, for the desired LPSP of 1%. 2022 Conference or Workshop Item PeerReviewed Ganbasha, Munir and Ayop, Razman (2022) Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization. In: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, 2 - 3 March 2022, Virtual, Online. http://dx.doi.org/10.1007/978-981-19-3923-5_40
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ganbasha, Munir
Ayop, Razman
Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
description This study aims to optimize a Photovoltaic-Thermoelectric standalone system with a battery storage system at the lowest cost of the system and acceptable reliability using particle swarm optimization algorithm (PSO). For this purpose, a comprehensive rule-based power management mechanism is proposed, which will coordinate the energy flow among the different system components that make up the stand-alone system. Following that, investigation and confirmation of the proposed PSO performance are carried out to determine the system’s optimum size. The proposed method’s ultimate objective is to minimize the cost of energy (COE) and the Loss of Power Supply Probability (LPSP). The proposed system is intended to meet the energy requirements of the FKE Building at UTM in Johor. This project takes annual temperature, solar irradiance, and load profile into account. The proposed PSO’s effectiveness in addressing the optimization problem is evaluated, and its performance is compared to the Iterative technique (IT) Algorithm. The suggested optimization methods are implemented in MATLAB via the simulation package. The simulation results demonstrate that PSO is capable of sizing the system optimally in comparison to Iterative technique (IT) algorithm. As result, the comparison of the algorithms reveals that PSO performed a superior result since it has the lowest COE (objective function), at RM0.5812/kW h, as compared to the iterative technique (IT) at RM0.5846 kW h, for the desired LPSP of 1%.
format Conference or Workshop Item
author Ganbasha, Munir
Ayop, Razman
author_facet Ganbasha, Munir
Ayop, Razman
author_sort Ganbasha, Munir
title Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
title_short Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
title_full Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
title_fullStr Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
title_full_unstemmed Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
title_sort sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization
publishDate 2022
url http://eprints.utm.my/id/eprint/98688/
http://dx.doi.org/10.1007/978-981-19-3923-5_40
_version_ 1758578006189670400
score 13.211869

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