<p>The integration of large-scale renewable energy sources, while environmentally beneficial, introduces challenges to grid stability, particularly at coupling points where inverter-based renewable energy sources (IBRs) are connected. This instability arises due to the reduced system strength at these points. This paper proposes a novel objective function for the optimal sizing and capacity assessment of a coordinated framework combining wind energy and green hydrogen energy storage, taking into account the inherent variability of wind speeds. The proposed optimization algorithm aims to reduce the network’s carbon footprint, minimize total power losses, and enhance network stability by maximizing system strength at designated buses. Furthermore, the paper presents an optimal strategy for retiring conventional generation units without compromising grid performance. The effectiveness of the proposed method is demonstrated using the IEEE 30-bus benchmark. The proposed framework reveals a reduction in carbon footprint by 66%, an 86.4% decrease in network active power loss, and significantly improved system strength at critical buses, enhancing overall network resilience under varying operating conditions.</p>

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Optimal Integration of Wind Energy and Green Hydrogen Storage for Enhanced Grid Resilience

  • Ayman Hussein Badawi,
  • Mohamed M. Zakaria Moustafa,
  • Mostafa S. Hamad,
  • Ayman Samy Abdel-Khalik,
  • Ragi A. Hamdy

摘要

The integration of large-scale renewable energy sources, while environmentally beneficial, introduces challenges to grid stability, particularly at coupling points where inverter-based renewable energy sources (IBRs) are connected. This instability arises due to the reduced system strength at these points. This paper proposes a novel objective function for the optimal sizing and capacity assessment of a coordinated framework combining wind energy and green hydrogen energy storage, taking into account the inherent variability of wind speeds. The proposed optimization algorithm aims to reduce the network’s carbon footprint, minimize total power losses, and enhance network stability by maximizing system strength at designated buses. Furthermore, the paper presents an optimal strategy for retiring conventional generation units without compromising grid performance. The effectiveness of the proposed method is demonstrated using the IEEE 30-bus benchmark. The proposed framework reveals a reduction in carbon footprint by 66%, an 86.4% decrease in network active power loss, and significantly improved system strength at critical buses, enhancing overall network resilience under varying operating conditions.