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A Game-Theoretic Framework for Routing Mobile EV Chargers in Congested Distribution Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a game-theoretic framework for routing Mobile Charging Stations (MCSs) in congested distribution systems, where each MCS acts as a self-interested agent responding to congestion-dependent locational marginal prices (LMPs). The interaction is modeled as a potential game, ensuring stable decentralized deployment. To address dynamic grid conditions, we extend the model using a Deep Q-Network (DQN) that enables agents to learn adaptive routing policies. Simulation results on the IEEE 33-bus system show that the proposed approach significantly reduces congestion costs, improves voltage profiles, and achieves near-optimal performance compared to centralized optimization.

Original languageEnglish (US)
Title of host publication5th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFeT 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535445
DOIs
StatePublished - 2025
Externally publishedYes
Event5th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFeT 2025 - Jaipur, India
Duration: Jul 9 2025Jul 12 2025

Publication series

Name5th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFeT 2025

Conference

Conference5th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFeT 2025
Country/TerritoryIndia
CityJaipur
Period7/9/257/12/25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Transportation

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