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

Document Type : Research paper

Authors

1 DSc in Economics, Professor, Department of Management Ferghana Polytechnic Institute, Ferghana, Uzbekistan.

2 Department of Biomedical Engineering, Mazaya University College, Iraq.

3 Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq.

4 Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq.

5 College of Technical Engineering, National University of Science and Technology, Dhi Qar, Iraq.

6 College of Petroleum Engineering, Al-Ayen University, Thi-Qar , Iraq.

7 Department of Biomedical Engineering, Al-Esraa University College, Baghdad, Iraq.

8 Department of Biomedical Engineering, AL-Nisour University College, Baghdad, Iraq.

Abstract

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%.

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References

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Journal of Operation and Automation in Power Engineering
Volume 11, Special Issue
Sustainable Power Systems, Energy Management, and Global Warming
March 2023

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History

  • Receive Date: 15 October 2023
  • Revise Date: 19 December 2023
  • Accept Date: 15 January 2024
  • First Publish Date: 31 March 2024

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