Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{185819,
        author = {Tejasri.Kandipalli},
        title = {Evaluation Of Plug-In Electric Vehicle Load Scheduling Using Mixed Strategist Dynamics and Grid-Oriented Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3220-3233},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185819},
        abstract = {The increasing adoption of plug-in electric vehicles (PEVs) creates new opportunities for flexible demand management but also introduces challenges to power distribution networks, such as peak load spikes, transformer stress, and voltage instability. This paper presents a unified scheduling framework that combines decentralized probabilistic coordination with deterministic optimization and grid-aware validation. Mixed Strategist Dynamics (MSD) integrated with the Maximum Entropy Principle (MEP) ensures fairness among users while balancing cost and battery wear. Forward Dynamic Programming (FDP) with game-theoretic best-response updates generate optimal schedules for single and multiple EVs. Vehicle-to-Grid (V2G) integration, validated through voltage-constrained FDP on the IEEE 34-bus feeder, maintains network stability under high penetration levels. Simulation results demonstrate significant reductions in peak demand, improved fairness, and enhanced voltage profiles, confirming the practicality and scalability of the proposed framework for large-scale EV integration.},
        keywords = {Electric Vehicles, Load Scheduling, Mixed Strategist Dynamics, Maximum Entropy Principle, Dynamic Programming, Vehicle-to-Grid, Smart Grid.},
        month = {October},
        }