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Improve power quality of charging station unit using African vulture optimization algorithm

In recent years, there is growth in acceptance to consume fewer fossil fuels globally and the manufacturing of electric vehicles (EVs) has become more popular. However, the increase in the number of systems connected to the grid that contain EVs with a huge power capacity leads to unstable working i...

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Main Authors: Altbawi, Saleh Masoud Abdallah, Abdul Khalid, Saifulnizam, Mokhtar, Ahmad Safawi, Alsisi, Rayan Hamza, Ahmad Arfeen, Zeeshan, Shareef, Hussain, Azam, Mehreen Kausar
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/105692/1/SaifulnizamAbdKhalid2023_ImprovePowerQualityOfChargingStation.pdf
http://eprints.utm.my/105692/
http://dx.doi.org/10.11591/eei.v12i5.5717
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spelling my.utm.1056922024-05-15T06:46:33Z http://eprints.utm.my/105692/ Improve power quality of charging station unit using African vulture optimization algorithm Altbawi, Saleh Masoud Abdallah Abdul Khalid, Saifulnizam Mokhtar, Ahmad Safawi Alsisi, Rayan Hamza Ahmad Arfeen, Zeeshan Shareef, Hussain Azam, Mehreen Kausar TK Electrical engineering. Electronics Nuclear engineering In recent years, there is growth in acceptance to consume fewer fossil fuels globally and the manufacturing of electric vehicles (EVs) has become more popular. However, the increase in the number of systems connected to the grid that contain EVs with a huge power capacity leads to unstable working in the power system. To assess the stability of the electric charging station several control approaches in AC part and DC parts during charging mode and discharging modes are tested. African vulture optimization algorithm (AVOA) has been utilized to tune the system controllers (proportional integral-derivative (PID)/tilt-integral-derivative (TID) controllers). The superiority of AVOA is confirmed by comparing the performance with the genetic algorithm (GA). Two objective functions have been used i.e. integral time absolute error (ITAE) and integral square time error (ISTE). AVOA-tuned TID controllers using ISTE were found to be the best to contain the frequency deviations. The results have shown of the AC part and DC part is within an acceptable limit recommended by IEEE standard. Further, maximum peak overshoot, undershoot, and settle time obtained by AVOA-tuned PID and TID controllers are found the best. Finally, the improvement of the performance index obtained by AVOA over its counterpart GA is confirmed. Institute of Advanced Engineering and Science 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/105692/1/SaifulnizamAbdKhalid2023_ImprovePowerQualityOfChargingStation.pdf Altbawi, Saleh Masoud Abdallah and Abdul Khalid, Saifulnizam and Mokhtar, Ahmad Safawi and Alsisi, Rayan Hamza and Ahmad Arfeen, Zeeshan and Shareef, Hussain and Azam, Mehreen Kausar (2023) Improve power quality of charging station unit using African vulture optimization algorithm. Bulletin of Electrical Engineering and Informatics, 12 (5). pp. 2605-2614. ISSN 2089-3191 http://dx.doi.org/10.11591/eei.v12i5.5717 DOI : 10.11591/eei.v12i5.5717
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/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Altbawi, Saleh Masoud Abdallah
Abdul Khalid, Saifulnizam
Mokhtar, Ahmad Safawi
Alsisi, Rayan Hamza
Ahmad Arfeen, Zeeshan
Shareef, Hussain
Azam, Mehreen Kausar
Improve power quality of charging station unit using African vulture optimization algorithm
description In recent years, there is growth in acceptance to consume fewer fossil fuels globally and the manufacturing of electric vehicles (EVs) has become more popular. However, the increase in the number of systems connected to the grid that contain EVs with a huge power capacity leads to unstable working in the power system. To assess the stability of the electric charging station several control approaches in AC part and DC parts during charging mode and discharging modes are tested. African vulture optimization algorithm (AVOA) has been utilized to tune the system controllers (proportional integral-derivative (PID)/tilt-integral-derivative (TID) controllers). The superiority of AVOA is confirmed by comparing the performance with the genetic algorithm (GA). Two objective functions have been used i.e. integral time absolute error (ITAE) and integral square time error (ISTE). AVOA-tuned TID controllers using ISTE were found to be the best to contain the frequency deviations. The results have shown of the AC part and DC part is within an acceptable limit recommended by IEEE standard. Further, maximum peak overshoot, undershoot, and settle time obtained by AVOA-tuned PID and TID controllers are found the best. Finally, the improvement of the performance index obtained by AVOA over its counterpart GA is confirmed.
format Article
author Altbawi, Saleh Masoud Abdallah
Abdul Khalid, Saifulnizam
Mokhtar, Ahmad Safawi
Alsisi, Rayan Hamza
Ahmad Arfeen, Zeeshan
Shareef, Hussain
Azam, Mehreen Kausar
author_facet Altbawi, Saleh Masoud Abdallah
Abdul Khalid, Saifulnizam
Mokhtar, Ahmad Safawi
Alsisi, Rayan Hamza
Ahmad Arfeen, Zeeshan
Shareef, Hussain
Azam, Mehreen Kausar
author_sort Altbawi, Saleh Masoud Abdallah
title Improve power quality of charging station unit using African vulture optimization algorithm
title_short Improve power quality of charging station unit using African vulture optimization algorithm
title_full Improve power quality of charging station unit using African vulture optimization algorithm
title_fullStr Improve power quality of charging station unit using African vulture optimization algorithm
title_full_unstemmed Improve power quality of charging station unit using African vulture optimization algorithm
title_sort improve power quality of charging station unit using african vulture optimization algorithm
publisher Institute of Advanced Engineering and Science
publishDate 2023
url http://eprints.utm.my/105692/1/SaifulnizamAbdKhalid2023_ImprovePowerQualityOfChargingStation.pdf
http://eprints.utm.my/105692/
http://dx.doi.org/10.11591/eei.v12i5.5717
_version_ 1800082649235062784
score 13.211869

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