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Resilience-oriented soft open point deployment with topology-variable-based frequency stability constraints for distribution networks

Author

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  • Fan, Pengyi
  • Yu, Tao
  • Wang, Ziyao
  • Pan, Zhenning
  • Wu, Yufeng

Abstract

The flexible multi-microgrid cluster offers a promising solution by integrating distributed resources to enhance the resilience of modern distribution networks. Soft open points are crucial for forming flexible multi-microgrid clusters, yet most existing soft open point deployment models neglect transient frequency stability in islanded operations under diverse post-fault scenarios, causing the suboptimal in the solution. To this end, this paper proposes a novel resilience-oriented soft open point deployment model for distribution networks, where the topology-variable-based frequency stability constraints based on the virtual flow method are incorporated. Compared to traditional formulation of frequency constraints that are topologically parameterized, the topology-variable-based frequency stability constraints can be embedded into optimization models containing topological variables, such as network planning or network reconfiguration. This ensures optimality of the deployment model. Case studies on a dual feeder distribution network highlight the importance of considering frequency stability in soft open point deployment and provide a robust framework for enhancing the resilience of modern distribution networks.

Suggested Citation

  • Fan, Pengyi & Yu, Tao & Wang, Ziyao & Pan, Zhenning & Wu, Yufeng, 2025. "Resilience-oriented soft open point deployment with topology-variable-based frequency stability constraints for distribution networks," Applied Energy, Elsevier, vol. 394(C).
  • Handle: RePEc:eee:appene:v:394:y:2025:i:c:s0306261925008505
    DOI: 10.1016/j.apenergy.2025.126120
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    References listed on IDEAS

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    1. Dong, Zihang & Zhang, Xi & Zhang, Linan & Giannelos, Spyros & Strbac, Goran, 2024. "Flexibility enhancement of urban energy systems through coordinated space heating aggregation of numerous buildings," Applied Energy, Elsevier, vol. 374(C).
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    Cited by:

    1. Sun, Wei & Wang, Yu & Hao, Yu & Alharthi, Yahya Z. & Wang, Yubin, 2025. "A resilience-oriented optimization framework for smart grid operation and recovery before, during, and after natural disasters," Applied Energy, Elsevier, vol. 398(C).

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