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Enhancing Smart Microgrid Resilience Under Natural Disaster Conditions: Virtual Power Plant Allocation Using the Jellyfish Search Algorithm

Author

Listed:
  • Kadirvel Kanchana

    (Department of Electrical and Electronics Engineering, Saveetha Engineering College, Chennai 602105, India)

  • Tangirala Murali Krishna

    (Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India)

  • Thangaraj Yuvaraj

    (Centre for Smart Energy Systems, Chennai Institute of Technology, Chennai 600069, India)

  • Thanikanti Sudhakar Babu

    (Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India)

Abstract

Electric power networks face critical challenges from extreme weather events and natural disasters, disrupting socioeconomic activities and jeopardizing energy security. This study presents an innovative approach incorporating virtual power plants (VPPs) within networked microgrids (MGs) to address these challenges. VPPs integrate diverse distributed energy resources such as solar- and wind-based generation, diesel generators, shunt capacitors, battery energy storage systems, and electric vehicles (EVs). These resources enhance MG autonomy during grid disruptions, ensuring uninterrupted power supply to critical services. EVs function as mobile energy storage units during emergencies, while shunt capacitors stabilize the system. Excess energy from distributed generation is stored in battery systems for future use. The seamless integration of VPPs and networked technologies enables MGs to operate independently under extreme weather conditions. Prosumers, acting as both energy producers and consumers, actively strengthen system resilience and efficiency. Energy management and VPP allocation are optimized using the jellyfish search optimization algorithm, enhancing resource scheduling during outages. This study evaluates the proposed approach’s resilience, reliability, stability, and emission reduction capabilities using real-world scenarios, including the IEEE 34-bus and Indian 52-bus radial distribution systems. Various weather conditions are analyzed, and a multi-objective function is employed to optimize system performance during disasters. The results demonstrate that networked microgrids with VPPs significantly enhance distribution grid resilience, offering a promising solution to mitigate the impacts of extreme weather events on energy infrastructure.

Suggested Citation

  • Kadirvel Kanchana & Tangirala Murali Krishna & Thangaraj Yuvaraj & Thanikanti Sudhakar Babu, 2025. "Enhancing Smart Microgrid Resilience Under Natural Disaster Conditions: Virtual Power Plant Allocation Using the Jellyfish Search Algorithm," Sustainability, MDPI, vol. 17(3), pages 1-44, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1043-:d:1578461
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    References listed on IDEAS

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    1. Sahoo, Buddhadeva & Samantaray, Subhransu Ranjan & Rout, Pravat Kumar, 2024. "Enhanced supervisory control scheme for hybrid microgrid operation with virtual power plants," Applied Energy, Elsevier, vol. 372(C).
    2. Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    3. Muthusamy Thirumalai & Raju Hariharan & Thangaraj Yuvaraj & Natarajan Prabaharan, 2024. "Optimizing Distribution System Resilience in Extreme Weather Using Prosumer-Centric Microgrids with Integrated Distributed Energy Resources and Battery Electric Vehicles," Sustainability, MDPI, vol. 16(6), pages 1-41, March.
    4. Thangaraj Yuvaraj & Natarajan Prabaharan & Chinnappan John De Britto & Muthusamy Thirumalai & Mohamed Salem & Mohammad Alhuyi Nazari, 2024. "Dynamic Optimization and Placement of Renewable Generators and Compensators to Mitigate Electric Vehicle Charging Station Impacts Using the Spotted Hyena Optimization Algorithm," Sustainability, MDPI, vol. 16(19), pages 1-34, September.
    5. Oboudi, Mohammad Hossein & Mohammadi, Mohammad, 2024. "Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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    1. Muhammad Usman Aslam & Md Sazal Miah & B. M. Ruhul Amin & Rakibuzzaman Shah & Nima Amjady, 2025. "Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review," Energies, MDPI, vol. 18(14), pages 1-54, July.

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