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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Institute of Electrical and Electronics Engineers Inc.
2022
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Online Access: | http://umpir.ump.edu.my/id/eprint/39112/1/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV.pdf http://umpir.ump.edu.my/id/eprint/39112/2/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV%20charging%20load_ABS.pdf http://umpir.ump.edu.my/id/eprint/39112/ https://doi.org/10.1109/PECon54459.2022.9988963 |
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my.ump.umpir.391122023-11-14T04:00:03Z http://umpir.ump.edu.my/id/eprint/39112/ DNR optimization for loss reduction and voltage stability considering EV charging load Saedi, Azrin Mohd Shahrin, Abu Hanifah Hilmi Hela, Ladin Mohamad Heerwan, Peeie Halim, Ghafar T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics 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. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39112/1/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV.pdf pdf en http://umpir.ump.edu.my/id/eprint/39112/2/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV%20charging%20load_ABS.pdf Saedi, Azrin and Mohd Shahrin, Abu Hanifah and Hilmi Hela, Ladin and Mohamad Heerwan, Peeie and Halim, Ghafar (2022) DNR optimization for loss reduction and voltage stability considering EV charging load. In: 2022 IEEE International Conference on Power and Energy : Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022Pages 203 - 2082022; 9th IEEE International Conference on Power and Energy, PECon 2022, 5 - 6 December 2022 , Langkawi, Kedah. pp. 351-355. (185592). ISBN 978-166540990-2 https://doi.org/10.1109/PECon54459.2022.9988963 |
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T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Saedi, Azrin Mohd Shahrin, Abu Hanifah Hilmi Hela, Ladin Mohamad Heerwan, Peeie Halim, Ghafar DNR optimization for loss reduction and voltage stability considering EV charging load |
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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 Mohd Shahrin, Abu Hanifah Hilmi Hela, Ladin Mohamad Heerwan, Peeie Halim, Ghafar |
author_facet |
Saedi, Azrin Mohd Shahrin, Abu Hanifah Hilmi Hela, Ladin Mohamad Heerwan, Peeie Halim, Ghafar |
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 |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2022 |
url |
http://umpir.ump.edu.my/id/eprint/39112/1/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV.pdf http://umpir.ump.edu.my/id/eprint/39112/2/DNR%20optimization%20for%20loss%20reduction%20and%20voltage%20stability%20considering%20EV%20charging%20load_ABS.pdf http://umpir.ump.edu.my/id/eprint/39112/ https://doi.org/10.1109/PECon54459.2022.9988963 |
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13.232414 |