The comprehensive evaluation model of power supply capacity for regional-oriented distribution network

  • Xiaoming ZhouEmail author
  • Xiaolan Li
  • Fujia Liu
  • Weichun Ge
  • Xianzhi Ma
  • Ye Tian
  • Guangao Li
  • Jiaxin Zhang
  • Yue Qiu
Original Article


With the rapid increase in power loads, power supply capacity plays a significant role in power distribution network. However, attributing to the tremendous differences in regional economic development and diversified characteristics of power distribution network, power supply capacity should be evaluated based on regional differences to better promote the efficiency of distribution network. In this paper, the evaluated indexes including supply capacity reserve, supply capacity margin and supply capacity balance are defined, and the evaluated models for single and inter-layer equipment are established. Furthermore, a case study with ten different regions is employed to validate the proposed models. Results illustrate that considering the effects of “N-x” criterion, network structures and overload features, the proposed comprehensive models could quantitatively evaluate the supply capacity and offer better supports for planning and operation of large-scale power distribution network.


Evaluation model Power supply capacity “N-x” criterion Evaluated indexes 



This research is partially supported by State Grid Science and Technology Project 5222SY17004A, and Improving Technological Innovation Ability and Mass Innovation Research Projects 2018ZX-17.


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Xiaoming Zhou
    • 1
    Email author
  • Xiaolan Li
    • 2
  • Fujia Liu
    • 3
  • Weichun Ge
    • 4
  • Xianzhi Ma
    • 1
  • Ye Tian
    • 5
  • Guangao Li
    • 1
  • Jiaxin Zhang
    • 1
  • Yue Qiu
    • 6
  1. 1.Operation Monitoring Center of State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  2. 2.Operation Monitoring Center of State Grid Shenyang Electric Power Supply CompanyShenyangChina
  3. 3.State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  4. 4.Technology and Information Department of State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  5. 5.Electric Power Research Institute of State Grid Liaoning Electric Power Co., LtdShenyangChina
  6. 6.Max Planck Institute for Dynamics of Complex Technical SystemsMagdeburgGermany

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