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Real-Time Simulation and Energy Management Attainment of Microgrids

Author

Listed:
  • Hani Muhsen

    (Department of Mechatronics Engineering, School of Applied Technical Sciences, German Jordanian University, Madaba 11180, Jordan
    Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Asma Alkhraibat

    (Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

  • Ala’aldeen Al-Halhouli

    (Department of Mechatronics Engineering, School of Applied Technical Sciences, German Jordanian University, Madaba 11180, Jordan
    Smart Grid Lab, German Jordanian University, Madaba 11180, Jordan)

Abstract

The rapid spread of Microgrid systems has led to the need for an intensive analysis of the system to avoid several challenges such as stability, reliability, power balance, and other aspects. In this context, real-time simulation plays a vital role in the overall system study before the actual implementation stage. This helps avoid many on-site problems of the Microgrid by simulating the system and studying different operation scenarios. This paper uses the OPAL-RT simulator to perform a real-time simulation of an MG case study. Furthermore, it examines the implementation of the Fault Ride Through technique to overcome the total disconnection of the PV system following unpredictable faults. Moreover, a Load curtailment solution method is proposed in this study, to meet the balance and stable operation of the MG. The results prove the effectiveness of both techniques, with FRT implementation reducing the losses by about 62%, and the Load curtailment algorithm maintaining the balance of the MG.

Suggested Citation

  • Hani Muhsen & Asma Alkhraibat & Ala’aldeen Al-Halhouli, 2023. "Real-Time Simulation and Energy Management Attainment of Microgrids," Sustainability, MDPI, vol. 15(3), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2696-:d:1055390
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    References listed on IDEAS

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    1. Xin-gang, Zhao & Ze-qi, Zhang & Yi-min, Xie & Jin, Meng, 2020. "Economic-environmental dispatch of microgrid based on improved quantum particle swarm optimization," Energy, Elsevier, vol. 195(C).
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    5. Hani Muhsen & Adib Allahham & Ala’aldeen Al-Halhouli & Mohammed Al-Mahmodi & Asma Alkhraibat & Musab Hamdan, 2022. "Business Model of Peer-to-Peer Energy Trading: A Review of Literature," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
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    Cited by:

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