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DNR Optimization for loss reduction and voltage stability considering EV charging load

In recent years, electric vehicles (EVs) have been a countermeasure to the serious carbon emission problem in the transportation sector. However, despite being one of the essential infrastructures in the EV ecosystem, the EV charging load causes voltage instability and increases power losses in the...

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Main Authors: Saedi, Azrin, Abu Hanifah, Mohd Shahrin, Hela Ladin, Hilmi, Peeie, Mohamad Heerwan, Ghafar, Halim
Format: Conference or Workshop Item
Language:English
Published: IEEE 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://irep.iium.edu.my/102798/17/Cover_Page-combined.pdf
http://irep.iium.edu.my/102798/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9988963
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spelling my.iium.irep.1027982023-01-11T01:37:13Z http://irep.iium.edu.my/102798/ DNR Optimization for loss reduction and voltage stability considering EV charging load Saedi, Azrin Abu Hanifah, Mohd Shahrin Hela Ladin, Hilmi Peeie, Mohamad Heerwan Ghafar, Halim TK Electrical engineering. Electronics Nuclear engineering In recent years, electric vehicles (EVs) have been a countermeasure to the serious carbon emission problem in the transportation sector. However, despite being one of the essential infrastructures in the EV ecosystem, the EV charging load causes voltage instability and increases power losses in the distribution network. Thus, this paper proposed optimizing distribution network reconfiguration (DNR) to solve the problem. The best two metaheuristic methods, Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO) were compared to get the optimum solution. It was tested on the IEEE 33-bus system in the MATLAB environment with various cases of charging activity. As a result, the CSA showed better consistency with better power loss reduction and voltage stability compared to PSO. IEEE 2022-12 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/102798/17/Cover_Page-combined.pdf Saedi, Azrin and Abu Hanifah, Mohd Shahrin and Hela Ladin, Hilmi and Peeie, Mohamad Heerwan and Ghafar, Halim (2022) DNR Optimization for loss reduction and voltage stability considering EV charging load. In: 2022 IEEE International Conference on Power and Energy (PECon), 5th-6th December 2022, Langkawi. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9988963 10.1109/PECon54459.2022.9988963
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saedi, Azrin
Abu Hanifah, Mohd Shahrin
Hela Ladin, Hilmi
Peeie, Mohamad Heerwan
Ghafar, Halim
DNR Optimization for loss reduction and voltage stability considering EV charging load
description In recent years, electric vehicles (EVs) have been a countermeasure to the serious carbon emission problem in the transportation sector. However, despite being one of the essential infrastructures in the EV ecosystem, the EV charging load causes voltage instability and increases power losses in the distribution network. Thus, this paper proposed optimizing distribution network reconfiguration (DNR) to solve the problem. The best two metaheuristic methods, Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO) were compared to get the optimum solution. It was tested on the IEEE 33-bus system in the MATLAB environment with various cases of charging activity. As a result, the CSA showed better consistency with better power loss reduction and voltage stability compared to PSO.
format Conference or Workshop Item
author Saedi, Azrin
Abu Hanifah, Mohd Shahrin
Hela Ladin, Hilmi
Peeie, Mohamad Heerwan
Ghafar, Halim
author_facet Saedi, Azrin
Abu Hanifah, Mohd Shahrin
Hela Ladin, Hilmi
Peeie, Mohamad Heerwan
Ghafar, Halim
author_sort Saedi, Azrin
title DNR Optimization for loss reduction and voltage stability considering EV charging load
title_short DNR Optimization for loss reduction and voltage stability considering EV charging load
title_full DNR Optimization for loss reduction and voltage stability considering EV charging load
title_fullStr DNR Optimization for loss reduction and voltage stability considering EV charging load
title_full_unstemmed DNR Optimization for loss reduction and voltage stability considering EV charging load
title_sort dnr optimization for loss reduction and voltage stability considering ev charging load
publisher IEEE
publishDate 2022
url http://irep.iium.edu.my/102798/17/Cover_Page-combined.pdf
http://irep.iium.edu.my/102798/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9988963
_version_ 1755872122799915008
score 13.211869

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