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A partitioning control strategy tailored specifically for distribution networks is introduced in this paper,which is reliant on precise electrical distance calculations and an in-depth grey relational analysis of power quality time series data. The electrical distances between nodes are accurately computed by utilizing the sensitivity method and based on the relationship between reactive power and voltage amplitude at nodes, thus unveiling the strength of electrical connections within the distribution network. The interplay of power quality among various nodes is thoroughly examined through the utilization of time series data pertaining to power quality, in conjunction with grey relational analysis. The integration of these two key indicators facilitates the holistic segmentation of the network, enabling targeted control measures for distinct areas. This strategic approach is aimed at elevating the overall power quality of the entire distribution network. To validate the efficacy of this method, the widely recognized IEEE 14-bus distribution system is employed as the benchmark model.

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An Electrical Distance and Data-Driven Partitioning Power Quality Control Strategy for Distribution Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Jing Wang,
  • Hui Jing,
  • Jing Liu,
  • Yue Guo,
  • Bin Qiao

摘要

A partitioning control strategy tailored specifically for distribution networks is introduced in this paper,which is reliant on precise electrical distance calculations and an in-depth grey relational analysis of power quality time series data. The electrical distances between nodes are accurately computed by utilizing the sensitivity method and based on the relationship between reactive power and voltage amplitude at nodes, thus unveiling the strength of electrical connections within the distribution network. The interplay of power quality among various nodes is thoroughly examined through the utilization of time series data pertaining to power quality, in conjunction with grey relational analysis. The integration of these two key indicators facilitates the holistic segmentation of the network, enabling targeted control measures for distinct areas. This strategic approach is aimed at elevating the overall power quality of the entire distribution network. To validate the efficacy of this method, the widely recognized IEEE 14-bus distribution system is employed as the benchmark model.