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Performance Investigation of Renewable Energy Integration in Energy Management Systems with Quantum-Inspired Multiverse Optimization

Author

Listed:
  • Dilip Kumar

    (Department of Electrical Engineering, Institute of Engineering and Technology, Dr. Rammanohar Lohia Avadh University, Ayodhya, Faizabad 224001, India)

  • Yogesh Kumar Chauhan

    (Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur 228118, India)

  • Ajay Shekhar Pandey

    (Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur 228118, India)

Abstract

The study introduces a novel standalone hybrid Energy Management System that combines solar PV, wind energy conversion systems, battery storage, and microturbines in order to provide reliable and efficient power under various operating conditions. The developed Quantum-Inspired Multiverse Optimization (QI-MVO) algorithm has thus far allowed for a remarkable efficiency of 99.9% and a 40% reduction in power losses when compared to conventional approaches. A rather speedy convergence to best solutions is exhibited by the methods, which take about 0.07 s for calculation, hence ensuring accurate optimization in complex energy systems. The QI-MVO-based EMS brings in improved reliability and optimal utilization of the system through balanced energy distribution and by maintaining system operational stability. In conclusion, the present work showcases QI-MVO as a sustainable and scalable energy management solution, which sets the stage for optimization strategies wherein hybrid energy management assumes a very important role.

Suggested Citation

  • Dilip Kumar & Yogesh Kumar Chauhan & Ajay Shekhar Pandey, 2025. "Performance Investigation of Renewable Energy Integration in Energy Management Systems with Quantum-Inspired Multiverse Optimization," Sustainability, MDPI, vol. 17(8), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3734-:d:1638904
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