OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Zaki, M., Mahmoud, T., Atia, M., Osman, E. (2022). OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES. EKB Journal Management System, 17(65), 1327-1347. doi: 10.21608/auej.2022.266218
Mohamed abdelhamed Zaki; Tarek Mahmoud; Mohamed Atia; Elsaid Abdelaziz Osman. "OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES". EKB Journal Management System, 17, 65, 2022, 1327-1347. doi: 10.21608/auej.2022.266218
Zaki, M., Mahmoud, T., Atia, M., Osman, E. (2022). 'OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES', EKB Journal Management System, 17(65), pp. 1327-1347. doi: 10.21608/auej.2022.266218
Zaki, M., Mahmoud, T., Atia, M., Osman, E. OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES. EKB Journal Management System, 2022; 17(65): 1327-1347. doi: 10.21608/auej.2022.266218

OPTIMAL ALLOCATION OF CHARGING STATIONSFOR ELECTRICVEHICLE INDISTRIBUTIONSYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Journal of Al-Azhar University Engineering Sector
Article 13, Volume 17, Issue 65, October 2022, Page 1327-1347  XML PDF (1.61 MB)
Document Type: Original Article
DOI: 10.21608/auej.2022.266218
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Authors
Mohamed abdelhamed Zaki1; Tarek Mahmoud2; Mohamed Atia1; Elsaid Abdelaziz Osman2
1Department of Electrical Power and Machines., The Higher Institute of Engineering,Elshorouk City, Elshorouk Academy, Cairo, Egypt.
2Department of Electrical Engineering., Faculty of Engineering, Al-Azhar University, Cairo, Egypt.
Abstract
In this paper, two optimal sizing and sitting techniques are proposed for an Electric Vehicle Charging Station (EVCS) on a Distribution System in Elshorouk City, Cairo, Egypt. An improved metaheuristic, named Archimedes Optimization Algorithm (AOA) and Particle Swarm Optimization (PSO) are proposed; to determine the optimal alocations for EVCS considering the objectives of minimizing real power loss, minimizing cost, and maintaning the required voltage profile. In this work, the photovoltaic (PV) is used as a renewable source as a main feeder for the charge stations (CSs). The 46-bus distribution system in Elshorouk City, Cairo, Egypt is testing network as a conducts simulation tests. The results highlight the need of the EVCS sizing and sitting to improve the performance. The optimization technique (AOA) results is compared to the results of the other optimization technique algorithm (PSO).It shows its effectiveness (fast speed, short time and accuracy) and above all gave better power losses and costs as required.
Keywords
Electric Vehicle Charging Station (EVCS); optimal sizing and sitting of EVCS; particle swarm optimization (PSO) and Archimedes optimization algorithm (AOA) محطة شحن السيارة الكهربائية (EVCS) ، أفضل حجم ومكان لـ EVCS ، تحسين سرب الجسيمات (PSO) وخوارزمية ارشمي
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