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Frequency and voltage coordinated control of a grid of AC/DC microgrids

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  • Alghamdi, Baheej
  • Cañizares, Claudio

Abstract

This paper proposes a hierarchical control scheme based on a distributed controller design for a multi-microgrid system. Thus, a proposed control approach of ac and dc microgrid interfaces is presented, based on virtual synchronous generators to control the power exchange of the interconnected microgrids, and provide frequency support, voltage regulation, and virtual inertia for the individual microgrids and ac host grid. A hierarchical distributed control technique is proposed, with primary controls of interfacing virtual synchronous generators providing adaptive inertia for all ac systems, while a secondary distributed control regulates the frequency and the voltages of the ac host grid and the interconnected ac and dc microgrids, based on a consensus technique with limited information about the overall system. The proposed controller shares the total system load among the grid and microgrids, while minimizing the overall frequency and dc-voltage deviations in all interconnected systems. The presented interface and the controller are implemented, tested, and validated using time-domain simulations for a multi-microgrid test system, which is based on a CIGRE benchmark medium voltage system and consists of both ac and dc microgrids.

Suggested Citation

  • Alghamdi, Baheej & Cañizares, Claudio, 2022. "Frequency and voltage coordinated control of a grid of AC/DC microgrids," Applied Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:appene:v:310:y:2022:i:c:s030626192101655x
    DOI: 10.1016/j.apenergy.2021.118427
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    References listed on IDEAS

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    1. Wu, Pan & Huang, Wentao & Tai, Nengling & Liang, Shuo, 2018. "A novel design of architecture and control for multiple microgrids with hybrid AC/DC connection," Applied Energy, Elsevier, vol. 210(C), pages 1002-1016.
    2. Bullich-Massagué, Eduard & Díaz-González, Francisco & Aragüés-Peñalba, Mònica & Girbau-Llistuella, Francesc & Olivella-Rosell, Pol & Sumper, Andreas, 2018. "Microgrid clustering architectures," Applied Energy, Elsevier, vol. 212(C), pages 340-361.
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    Citations

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    Cited by:

    1. Baheej Alghamdi, 2022. "Fuzzy Logic–Based Decentralized Voltage–Frequency Control and Inertia Control of a VSG-Based Isolated Microgrid System," Energies, MDPI, vol. 15(22), pages 1-29, November.
    2. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
    3. Erico Gurski & Roman Kuiava & Filipe Perez & Raphael A. S. Benedito & Gilney Damm, 2024. "A Novel VSG with Adaptive Virtual Inertia and Adaptive Damping Coefficient to Improve Transient Frequency Response of Microgrids," Energies, MDPI, vol. 17(17), pages 1-22, September.
    4. Ahmed M. Hussien & Jonghoon Kim & Abdulaziz Alkuhayli & Mohammed Alharbi & Hany M. Hasanien & Marcos Tostado-Véliz & Rania A. Turky & Francisco Jurado, 2022. "Adaptive PI Control Strategy for Optimal Microgrid Autonomous Operation," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    5. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
    6. Mohammed M. Alhaider & Ziad M. Ali & Mostafa H. Mostafa & Shady H. E. Abdel Aleem, 2023. "Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    7. Zhang, Bin & Hu, Weihao & Ghias, Amer M.Y.M. & Xu, Xiao & Chen, Zhe, 2022. "Multi-agent deep reinforcement learning-based coordination control for grid-aware multi-buildings," Applied Energy, Elsevier, vol. 328(C).
    8. Zejun Tong & Chun Zhang & Xiaotai Wu & Pengcheng Gao & Shuang Wu & Haoyu Li, 2023. "Economic Optimization Control Method of Grid-Connected Microgrid Based on Improved Pinning Consensus," Energies, MDPI, vol. 16(3), pages 1-31, January.

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