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Two-Stage Dynamic Partitioning Strategy Based on Grid Structure Feature and Node Voltage Characteristics for Power Systems

Author

Listed:
  • Lixia Sun

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China)

  • Xianxue Sha

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China)

  • Shuo Zhang

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China)

  • Jiahao Wang

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China)

  • Yiping Yu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China)

Abstract

To enhance the adaptability of grid partitioning under transient scenarios, this paper proposes a two-stage dynamic partitioning strategy based on structure–function coupling. Electrical coupling strength is first characterized using short-circuit impedance and the sensitivity between reactive power and voltage, while transient voltage correlation is incorporated through cosine similarity as edge weights in a graph model. Grid partitioning is then conducted by maximizing modularity through a staged approach that ensures network connectivity and automatically determines partition numbers. Case studies on the modified IEEE 39-bus system demonstrate that compared with transient voltage-based partitioning and conventional complex network methods, the proposed approach improves modularity by 69%, reduces the maximum post-fault voltage deviation by 38.6%, and achieves the highest regional decoupling rate. The result shows strong intra-regional cohesion and weak inter-regional connectivity, verifying the strategy’s effectiveness in enhancing adaptability and decoupling under transient conditions.

Suggested Citation

  • Lixia Sun & Xianxue Sha & Shuo Zhang & Jiahao Wang & Yiping Yu, 2025. "Two-Stage Dynamic Partitioning Strategy Based on Grid Structure Feature and Node Voltage Characteristics for Power Systems," Energies, MDPI, vol. 18(10), pages 1-19, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2544-:d:1655751
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