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@article{189040,
        author = {Medisetti Darsitha and K. Vaisakh},
        title = {Evaluation of Enhanced Escort Energy Distribution Algorithm for Optimal Integration of Electric Vehicles},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4498-4509},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189040},
        abstract = {The growing adoption of Electric Vehicles (EVs) has created a strong need for smart and reliable charging strategies that can support large-scale integration without overloading the power grid. This work presents an Enhanced Escort Energy Distribution Algorithm designed to improve the efficiency and stability of EV charging systems. The algorithm is built upon the core concept of Escort Dynamics for EV Load Management, a decentralized evolutionary approach in which EVs gradually adjust their charging behavior based on system conditions. To make this framework more robust and practical, three key extensions are introduced. First, a Logarithmic Barrier Algorithm is added to ensure that every EV strictly follows battery limits, charger ratings, and other operational constraints. Second, a Centralized Optimization Model is used as a benchmark to compare optimality and performance, allowing a clear evaluation of how the decentralized method performs against traditional scheduling. Third, principles from Escort Evolutionary Game Theory are incorporated to strengthen theoretical guarantees related to convergence and stability. Simulation results show that the enhanced algorithm reduces peak demand, distributes charging more evenly, and maintains better overall stability compared to unmanaged charging and standard centralized approaches. Overall, this research offers a practical and scalable solution for future smart-grid EV integration.},
        keywords = {Escort Dynamics, Electric Vehicle Charging, Evolutionary Game Theory, Logarithmic Barrier Algorithm, Centralized Optimization, Decentralized Energy Management, Smart Grid Integration, Load Scheduling, State-of-Charge Constraints, Enhanced Energy Distribution.},
        month = {December},
        }