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A Reconfiguration Strategy of Distribution Networks Considering Node Importance

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  • Juan Wen
  • Yanghong Tan
  • Lin Jiang

Abstract

Node importance degree is a vital index in distribution network reconfiguration because it reflects the robustness of the network structure by evaluating node importance. Since the traditional reconfiguration ignores this index, the reconstructed network structure may be vulnerable which would reduce the security and stability of the distribution systems. This paper presents a novel reconfiguration strategy considering the node importance. The optimization objectives are the improvement of the node importance degree and the reduction of power loss. To balance the objectives, the reconfiguration mathematical model is formulated as a compound objective function with weight coefficients. Then the quantum particle swarm algorithm is employed to address this compound objective optimization problem. The strategy can model different scenarios network reconfiguration by adjusting the weight vector based on the tendencies of the utility decision maker. Illustrative examples verify the effectiveness of the proposed strategy.

Suggested Citation

  • Juan Wen & Yanghong Tan & Lin Jiang, 2016. "A Reconfiguration Strategy of Distribution Networks Considering Node Importance," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    • Handle: RePEc:plo:pone00:0168350
    DOI: 10.1371/journal.pone.0168350
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    Cited by:

    1. Wang, Fei & Zheng, Xia-zhong & Li, Nan & Shen, Xuesong, 2019. "Systemic vulnerability assessment of urban water distribution networks considering failure scenario uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    2. Zhijian Qu & Hanxin Liu & Hanlin Wang & Xinqiang Chen & Rui Chi & Zixiao Wang, 2020. "Cluster equilibrium scheduling method based on backpressure flow control in railway power supply systems," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-23, December.
    3. Mohd Ikhwan Muhammad Ridzuan & Sasa Z. Djokic, 2019. "Energy Regulator Supply Restoration Time," Energies, MDPI, vol. 12(6), pages 1-16, March.

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