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<p>The microgrid stability is interrupted due to the increased penetration of renewable energy into the electrical distribution system. The use of sensor-based controller increases system delay, resulting in synchronization errors and high response time. Hence, to stabilize the operation of microgrid with high-power handling capability, the regulated power supply of renewable energy is obtained through 13-level switched capacitance inverter model. In order to control intermittent renewable energy for the stable operation of microgrid and increase power sharing capacity, this research utilises a 13-level, 10-switch capacitance inverter model. Using data analysis-based control techniques, the regulated frequency and reactive power flow are achieved. The jellyfish function formulates the network characteristic, and the search optimizer examines the variation of fault data in the point of common coupling (PCC). A MFOTID controller is employed to decrease the reactive power variations and frequency deviation and enhance the synchronization stability between grid and microgrid. The power supply should be synchronized during islanding operation and grid connection and the stability of distributed generator (DG) based on heterogeneous renewable energy is investigated. Due to smooth synchronization, the system's stability is enhanced to 7.317% in comparison with the FOTID and Levy Aquila optimizer method.</p>

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Smooth synchronization of microgrid integrated with multiple renewable sources using MFOTID controller and jellyfish search optimizer

  • 期刊论文

  • 发表日期：

    2025年11月22日

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  • S. Ravichandran,
  • J. Anish Kumar,
  • Monica P. Suresh,
  • J. Jasper

摘要

The microgrid stability is interrupted due to the increased penetration of renewable energy into the electrical distribution system. The use of sensor-based controller increases system delay, resulting in synchronization errors and high response time. Hence, to stabilize the operation of microgrid with high-power handling capability, the regulated power supply of renewable energy is obtained through 13-level switched capacitance inverter model. In order to control intermittent renewable energy for the stable operation of microgrid and increase power sharing capacity, this research utilises a 13-level, 10-switch capacitance inverter model. Using data analysis-based control techniques, the regulated frequency and reactive power flow are achieved. The jellyfish function formulates the network characteristic, and the search optimizer examines the variation of fault data in the point of common coupling (PCC). A MFOTID controller is employed to decrease the reactive power variations and frequency deviation and enhance the synchronization stability between grid and microgrid. The power supply should be synchronized during islanding operation and grid connection and the stability of distributed generator (DG) based on heterogeneous renewable energy is investigated. Due to smooth synchronization, the system's stability is enhanced to 7.317% in comparison with the FOTID and Levy Aquila optimizer method.