Model Predictive Control in Vehicle-to-Grid Systems: A Review of GWO-Based Approaches

Authors

  • Satish Kumar Sharma
  • Anjana Tripathi
  • Balram Yadav

Keywords:

power infrastructure, electric vehicles (EVs), energy storage systems (ESS)

Abstract

The power infrastructure is facing new difficulties as we move towards renewable energy sources that are variable, like wind and solar energy. Renewable energy production is extremely reliant on the weather, which limits its predictability and controllability and makes plants in general smaller and more dispersed. This work discusses the potential of integrating electric vehicles (EVs) with energy storage systems (ESS) to address the challenges of renewable energy integration and provide frequency support in microgrids. The high cost and degradation of ESS are limiting factors, and the collaboration with EVs offers a solution for stable microgrid operation.

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Author Biographies

  • Satish Kumar Sharma

    MTech Student

    Department of Electrical & Electronics Engineering

    Scope College of Engineering, Bhopal, M.P., India

  • Anjana Tripathi

    Assistant Professor

     Department of Electrical & Electronics Engineering,

    Scope College of engineering

     Bhopal, M.P., India

  • Balram Yadav

    HOD

    Department of Electrical & Electronics Engineering

    Scope College of Engineering

    Bhopal, M.P., India

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Published

12/30/2025

How to Cite

Model Predictive Control in Vehicle-to-Grid Systems: A Review of GWO-Based Approaches. (2025). SMART MOVES JOURNAL IJOSCIENCE, 11(12), 22-27. http://ijoscience.com/index.php/ojsscience/article/view/588

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