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Challenges of operating multiple distributed generators with different primary control strategies in microgrids: Interactions and performance assessment

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  • Bouzid, Allal El Moubarek
  • Alonso, Corinne
  • Beral, Gerard

Abstract

This study investigates the effectiveness of hybrid power-sharing control strategies in microgrid systems. It integrates various droop controllers, including conventional droop, universal droop, dVOC, and VSG. The contribution of each controller is evaluated in terms of system stability, efficiency, and adaptability. These assessments consider how different test conditions influence overall system performance. The performance analysis focuses on power sharing during both transient and steady-state conditions. It accounts for DERs connected through complex transmission line impedances and subjected to variable local loads. The study concludes with extensive real-time simulations using the Typhoon HIL 604 platform. These scenarios test different operating conditions to identify the most stable microgrid configuration.

Suggested Citation

  • Bouzid, Allal El Moubarek & Alonso, Corinne & Beral, Gerard, 2026. "Challenges of operating multiple distributed generators with different primary control strategies in microgrids: Interactions and performance assessment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 241(PB), pages 312-334.
    • Handle: RePEc:eee:matcom:v:241:y:2026:i:pb:p:312-334
    DOI: 10.1016/j.matcom.2025.08.029
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    References listed on IDEAS

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    1. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    2. Raja Singh, R. & Raj Chelliah, Thanga & Agarwal, Pramod, 2014. "Power electronics in hydro electric energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 944-959.
    3. Hu, Jiefeng & Shan, Yinghao & Guerrero, Josep M. & Ioinovici, Adrian & Chan, Ka Wing & Rodriguez, Jose, 2021. "Model predictive control of microgrids – An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    4. Mohammed Qasim Taha & Sefer Kurnaz, 2023. "Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm," Energies, MDPI, vol. 16(24), pages 1-20, December.
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