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Usmanovich, B.A., Kinanah, T.M.H., Al-Mansor, A.H.O., Al-Majdi, K., Hlail, S.H., Lafta, D.A., Zaboun, A.R.T., Abbas, J.K.. (1403). The Optimal Parking Lot for Electrical Vehicle: An Assessment Based on Artificial Immune System Algorithm. سامانه مدیریت نشریات علمی, 11(Special Issue), -. doi: 10.22098/joape.2024.13834.2068
B.A. Usmanovich; T.M.H. Kinanah; A.H.O. Al-Mansor; K. Al-Majdi; S.H. Hlail; D.A. Lafta; A.R.T. Zaboun; J.K. Abbas. "The Optimal Parking Lot for Electrical Vehicle: An Assessment Based on Artificial Immune System Algorithm". سامانه مدیریت نشریات علمی, 11, Special Issue, 1403, -. doi: 10.22098/joape.2024.13834.2068
Usmanovich, B.A., Kinanah, T.M.H., Al-Mansor, A.H.O., Al-Majdi, K., Hlail, S.H., Lafta, D.A., Zaboun, A.R.T., Abbas, J.K.. (1403). 'The Optimal Parking Lot for Electrical Vehicle: An Assessment Based on Artificial Immune System Algorithm', سامانه مدیریت نشریات علمی, 11(Special Issue), pp. -. doi: 10.22098/joape.2024.13834.2068
Usmanovich, B.A., Kinanah, T.M.H., Al-Mansor, A.H.O., Al-Majdi, K., Hlail, S.H., Lafta, D.A., Zaboun, A.R.T., Abbas, J.K.. The Optimal Parking Lot for Electrical Vehicle: An Assessment Based on Artificial Immune System Algorithm. سامانه مدیریت نشریات علمی, 1403; 11(Special Issue): -. doi: 10.22098/joape.2024.13834.2068

The Optimal Parking Lot for Electrical Vehicle: An Assessment Based on Artificial Immune System Algorithm

Journal of Operation and Automation in Power Engineering
دوره 11، Special Issue، خرداد 2023    اصل مقاله (1.04 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.13834.2068
نویسندگان
B.A. Usmanovich* 1؛ T.M.H. Kinanah2؛ A.H.O. Al-Mansor3؛ K. Al-Majdi4؛ S.H. Hlail5؛ D.A. Lafta6؛ A.R.T. Zaboun7؛ J.K. Abbas8
1DSc in Economics, Professor, Department of Management Ferghana Polytechnic Institute, Ferghana, Uzbekistan.
2Department of Biomedical Engineering, Mazaya University College, Iraq.
3Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq.
4Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq.
5College of Technical Engineering, National University of Science and Technology, Dhi Qar, Iraq.
6College of Petroleum Engineering, Al-Ayen University, Thi-Qar , Iraq.
7Department of Biomedical Engineering, Al-Esraa University College, Baghdad, Iraq.
8Department of Biomedical Engineering, AL-Nisour University College, Baghdad, Iraq.
چکیده
The optimum location of electric vehicle (EV) parking lots is critical in distribution network design for lowering costs, boosting revenues, and enhancing dependability. However, conventional distribution network schedulers were not designed with these variables in mind. Furthermore, the increased use of EVs for environmental reasons mandates the planning of EV parking spaces. As a result, distribution network designers must examine network technical difficulties, design approaches, and changing consumer needs. The placement of dispersed manufacturing resources and EV parking without sufficient planning and ideal location leads in economic challenges for investors and technical concerns for the network. As a result, future distribution networks should prioritize the ideal placement of EV parking lots and distributed production resources in order to maximize network capabilities and meet the needs of companies and power applications in the digital society. According to the findings, the rate of EV parking installations is very high. When power consumers remain connected to the grid during peak hours, distribution businesses benefit significantly, and the overall voltage profile improves. Variations in electric vehicle (EV) battery capacity, power cost, EV adoption, and the weighting coefficients required for optimization will all have different outcomes. It is critical to precisely determine the battery capacity of electric vehicles (EVs) as well as the efficiency of inverters in order to produce more accurate results. According to the findings, increasing the number of parking lot for EVs in a network enhances the benefit from minimizing losses, and providing peak load significantly. So that using 2 parking lot for EVs in a network can increase the overall profit to 129%.
کلیدواژه‌ها
Electric vehicles؛ optimization؛ parking lot؛ artificial immune system algorithm؛ optimal location
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