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Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle

Energy Management Strategy (EMS) as a control strategy for microgrid (MG) systems is a complex task to operate the integrated power systems and utilize consumer-based. Alternative energy sources such as solar and wind can be used to generate energy that can be used to power electrical appliances whe...

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Main Authors: Alsharif, Abdulgader, Tan, Chee Wei, Ayop, Razman, Ali Ahmed, Abdussalam, Mohamed Khaleel, Mohamed, Abobaker, Abobaker K.
Format: Conference or Workshop Item
Published: 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/98641/
http://dx.doi.org/10.1109/MI-STA54861.2022.9837749
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id my.utm.98641
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spelling my.utm.986412023-01-25T09:48:29Z http://eprints.utm.my/id/eprint/98641/ Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle Alsharif, Abdulgader Tan, Chee Wei Ayop, Razman Ali Ahmed, Abdussalam Mohamed Khaleel, Mohamed Abobaker, Abobaker K. TK Electrical engineering. Electronics Nuclear engineering Energy Management Strategy (EMS) as a control strategy for microgrid (MG) systems is a complex task to operate the integrated power systems and utilize consumer-based. Alternative energy sources such as solar and wind can be used to generate energy that can be used to power electrical appliances when combined with energy storage units. Additionally, with other sources to complement the drawbacks of each source. But the common drawback of the aforementioned sources are naturally unpredictable and climatology changes dependent. The main aim of this study is to minimize the cost and losses of the system, contrary, maximizing the renewability. This study considers a Tripoli-Libya as a case study located in the north of Libya and coordinated between32.88o N latitude and 13.19o E longitude. The system utilizes night-Time for exchanging the power between the Electric Vehicle (EV) and the utility grid to form Vehicle-To-Grid (V2G) technology. The result of the study shows that the Cost of Energy (COE), Renewable Energy Fraction (REF), and Deficiency Power Supply Probability (DPSP), are an objective of the study along with the analysis of collected data based on the Grasshopper Optimization Algorithm (GOA) using Matlab. The acquired result for the sizing system configuration has been validated with nature-inspired metaheuristic algorithms. 2022 Conference or Workshop Item PeerReviewed Alsharif, Abdulgader and Tan, Chee Wei and Ayop, Razman and Ali Ahmed, Abdussalam and Mohamed Khaleel, Mohamed and Abobaker, Abobaker K. (2022) Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle. In: 2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2022, 23 - 25 May 2022, Sabratha, Libya. http://dx.doi.org/10.1109/MI-STA54861.2022.9837749
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
Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Ali Ahmed, Abdussalam
Mohamed Khaleel, Mohamed
Abobaker, Abobaker K.
Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
description Energy Management Strategy (EMS) as a control strategy for microgrid (MG) systems is a complex task to operate the integrated power systems and utilize consumer-based. Alternative energy sources such as solar and wind can be used to generate energy that can be used to power electrical appliances when combined with energy storage units. Additionally, with other sources to complement the drawbacks of each source. But the common drawback of the aforementioned sources are naturally unpredictable and climatology changes dependent. The main aim of this study is to minimize the cost and losses of the system, contrary, maximizing the renewability. This study considers a Tripoli-Libya as a case study located in the north of Libya and coordinated between32.88o N latitude and 13.19o E longitude. The system utilizes night-Time for exchanging the power between the Electric Vehicle (EV) and the utility grid to form Vehicle-To-Grid (V2G) technology. The result of the study shows that the Cost of Energy (COE), Renewable Energy Fraction (REF), and Deficiency Power Supply Probability (DPSP), are an objective of the study along with the analysis of collected data based on the Grasshopper Optimization Algorithm (GOA) using Matlab. The acquired result for the sizing system configuration has been validated with nature-inspired metaheuristic algorithms.
format Conference or Workshop Item
author Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Ali Ahmed, Abdussalam
Mohamed Khaleel, Mohamed
Abobaker, Abobaker K.
author_facet Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Ali Ahmed, Abdussalam
Mohamed Khaleel, Mohamed
Abobaker, Abobaker K.
author_sort Alsharif, Abdulgader
title Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
title_short Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
title_full Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
title_fullStr Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
title_full_unstemmed Power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
title_sort power management and sizing optimization for hybrid grid-dependent system considering photovoltaic wind battery electric vehicle
publishDate 2022
url http://eprints.utm.my/id/eprint/98641/
http://dx.doi.org/10.1109/MI-STA54861.2022.9837749
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score 13.211869

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