Impact of Electric Vehicle Integration on Power Distribution Networks Considering Energy Pricing and Load Management Techniques

Document Type : Research paper

Authors

1 Termez University of Economics and Service, Termez, Uzbekistan.

2 Mamun University, Khiva, Uzbekistan.

3 Alfraganus University, Tashkent, Uzbekistan.

4 International School of Finance Technology and Science, Tashkent, Uzbekistan.

5 Uzbekistan State World Languages University, 21A Building, 9A Block, Small Ring Road Street, Uchtepa District, Tashkent, Uzbekistan.

6 Termez State University, 190100, Termez, Uzbekistan.

7 Scientific-Research Institute of Agricultural Mechanization, Samarkand Str. 41, Yangiyul Dis., Tashkent Reg., Uzbekistan.

8 Bukhara State Pedagogical Institute, Bukhara, Uzbekistan.

Abstract

This research initially examines the concepts related to distribution networks, electric vehicles (EVs), distributed generation sources, and EV load management programs over a 24-hour period from an energy pricing perspective. This analysis aims to optimize energy utilization and enhance system parameters. Additionally, the presence of renewable energy sources, such as solar energy, in the network is considered. For a distribution network incorporating distributed generation sources with variable energy prices, a load management program was implemented to optimize EV charging throughout the day. The proposed method was designed with the objectives of minimizing operational costs, power losses, and voltage drops while considering network loads in the presence of EVs. The total losses in a 33-bus network with the assumed hourly loads indicate that implementing demand response (DR) reduces network losses, whereas the presence of EVs increases these losses. Simulation results show that coordinated EV–DR scheduling effectively shifts charging away from peak hours, reduces daily operational cost by up to 7.4%, limits EV-induced loss increases from 19.4% to 6.1%, and improves voltage profiles while maintaining all network constraints. The results demonstrate that integrating EV flexibility with price-driven demand response provides a practical and effective solution for mitigating the adverse impacts of EV penetration and enhancing renewable energy utilization in distribution networks.

Keywords

Main Subjects

References

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Journal of Operation and Automation in Power Engineering
Volume 13, Special Issue
Intelligent and Sustainable Power Systems (ISPS): AI-Driven Innovations for Renewable Integration and Smart Grid Resilience
2025
Pages 101-113

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History

  • Receive Date: 30 November 2025
  • Revise Date: 27 December 2025
  • Accept Date: 29 December 2025
  • First Publish Date: 29 December 2025

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