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Addressing climate change through the integration of renewable energy resources necessitates the development of advanced control strategies and precise load modeling to ensure the secure and stable operation of electric grids. This paper investigates the voltage and frequency stability of a transmission network with a high penetration of inverter-based resources (IBRs) under evolving composite load models. At first, the stability of the network is analyzed for different penetration levels of renewable generation. Later, a mix of Grid-following and Grid-forming inverter controls is employed to enhance the system stability. Finally, composite load models are integrated into the network to investigate the impacts on the stability of the system. All simulations are conducted using DIgSILENT PowerFactory software under different load scenarios, employing eigenvalue analysis and RMS simulations as stability indices on a 9-bus transmission network. The results demonstrate that increased dynamic loads lead to significant voltage dips and oscillations in the network and advanced control strategies and precise load modeling are essential for maintaining stability in the IBR-dominated grids.

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Analyzing the Impacts on Stability of IBR-Dominated Power Systems Under Evolving Composite Loads

  • 会议论文

  • 发表日期：

    2025年

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  • Muhammad Ismail,
  • B M. Ruhul Amin,
  • Tanveer Choudhury,
  • Rakibuzzaman Shah

摘要

Addressing climate change through the integration of renewable energy resources necessitates the development of advanced control strategies and precise load modeling to ensure the secure and stable operation of electric grids. This paper investigates the voltage and frequency stability of a transmission network with a high penetration of inverter-based resources (IBRs) under evolving composite load models. At first, the stability of the network is analyzed for different penetration levels of renewable generation. Later, a mix of Grid-following and Grid-forming inverter controls is employed to enhance the system stability. Finally, composite load models are integrated into the network to investigate the impacts on the stability of the system. All simulations are conducted using DIgSILENT PowerFactory software under different load scenarios, employing eigenvalue analysis and RMS simulations as stability indices on a 9-bus transmission network. The results demonstrate that increased dynamic loads lead to significant voltage dips and oscillations in the network and advanced control strategies and precise load modeling are essential for maintaining stability in the IBR-dominated grids.