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With the large-scale distributed power supply, flexible load and other adjustable resources connected to the distribution network, the traditional passive distribution network has gradually evolved into an active distribution network. A large number of adjustable resources provide a basis for the “active” control and management of the active distribution network. Based on the control ability of “source”, “network” and “load” of active distribution network, this paper studies the way of probability distribution, describe the uncertainty of source and load, and establish the expected value model of photovoltaic output and load prediction through model transformation, so as to get the predicted value of photovoltaic output and load more conveniently and quickly. Through the simulation experiment on IEEE33 node distribution system, it is proved that the optimization method of active distribution network with source and load uncertainty can also effectively reduce the network loss.

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Collaborative Planning Method of Distribution Network Source Load Considering Source Load Uncertainty

  • 会议论文

  • 发表日期：

    2025年

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  • Shaoqiao Dong,
  • Yinan Zhao,
  • Min Zhao,
  • Min Yang,
  • Jingyi Zhang

摘要

With the large-scale distributed power supply, flexible load and other adjustable resources connected to the distribution network, the traditional passive distribution network has gradually evolved into an active distribution network. A large number of adjustable resources provide a basis for the “active” control and management of the active distribution network. Based on the control ability of “source”, “network” and “load” of active distribution network, this paper studies the way of probability distribution, describe the uncertainty of source and load, and establish the expected value model of photovoltaic output and load prediction through model transformation, so as to get the predicted value of photovoltaic output and load more conveniently and quickly. Through the simulation experiment on IEEE33 node distribution system, it is proved that the optimization method of active distribution network with source and load uncertainty can also effectively reduce the network loss.