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Virtual Power Plants Optimization Issue: A Comprehensive Review on Methods, Solutions, and Prospects

Author

Listed:
  • Wafa Nafkha-Tayari

    (Laboratory of Information and Systems (UMR CNRS 7020 LIS), Aix Marseille University, 13397 Marseille, France)

  • Seifeddine Ben Elghali

    (Laboratory of Information and Systems (UMR CNRS 7020 LIS), Aix Marseille University, 13397 Marseille, France)

  • Ehsan Heydarian-Forushani

    (Department of Electrical and Computer Engineering, Qom University of Technology, Qom 1519-37195, Iran)

  • Mohamed Benbouzid

    (Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
    Logistics Engineering College, Shanghai 201306, China)

Abstract

Recently, the integration of distributed generation and energy systems has been associated with new approaches to plant operations. As a result, it is becoming increasingly important to improve management skills related to distributed generation and demand aggregation through different types of virtual power plants (VPPs). It is also important to leverage their ability to participate in electricity markets to maximize operating profits. The present study focuses on VPP concepts, its different potential services, various control methodologies, distinct optimization approaches, and some practical implemented real cases. To this end, a comprehensive review of the most recent scientific literature is conducted. The paper concludes with remained challenges and future trends in the topic.

Suggested Citation

  • Wafa Nafkha-Tayari & Seifeddine Ben Elghali & Ehsan Heydarian-Forushani & Mohamed Benbouzid, 2022. "Virtual Power Plants Optimization Issue: A Comprehensive Review on Methods, Solutions, and Prospects," Energies, MDPI, vol. 15(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3607-:d:815888
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    References listed on IDEAS

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    1. Francesco Gulotta & Edoardo Daccò & Alessandro Bosisio & Davide Falabretti, 2023. "Opening of Ancillary Service Markets to Distributed Energy Resources: A Review," Energies, MDPI, vol. 16(6), pages 1-25, March.
    2. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
    3. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    4. Pandey, Anubhav Kumar & Jadoun, Vinay Kumar & Jayalakshmi, N.S. & Malik, Hasmat & García Márquez, Fausto Pedro, 2024. "Multi-objective price based flexible reserve scheduling of virtual power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    5. Zahid Ullah & Arshad & Jawad Ahmad, 2022. "The Development of a Cross-Border Energy Trade Cooperation Model of Interconnected Virtual Power Plants Using Bilateral Contracts," Energies, MDPI, vol. 15(21), pages 1-16, November.
    6. Justin Ugwu & Kenneth C. Odo & Chibuike Peter Ohanu & Jorge García & Ramy Georgious, 2022. "Comprehensive Review of Renewable Energy Communication Modeling for Smart Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.

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