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With the access of a large number of distributed power sources, the structure and status of traditional distribution network have changed greatly. Therefore, it is necessary to establish a comprehensive evaluation system to evaluate the hosting capacity of the new distribution network from multiple aspects. Firstly, the hosting capacity model of distribution network with distributed resource access was constructed, and the second-order cone programming model was used to improve the solution speed of the model. Then, a comprehensive evaluation system of distribution network hosting capacity was constructed by proposing multiple indicators covering security, economy and flexibility. Each evaluation index was calculated according to the solution results of the model, and the calculation results of each index were converted into a comprehensive score by the combination weighting method composed of entropy weight method and analytic hierarchy process. Finally, the proposed evaluation method was verified by an example analysis of the IEEE 33 distribution network model.

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Distributed Generators Hosting Capacity Evaluation Method of Distribution Network Based on EW-AHP

  • 会议论文

  • 发表日期：

    2026年

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  • Haiting Huang,
  • Jiayan Liu,
  • Yong Li,
  • Dongli Jia,
  • Xueshun Ye,
  • Jun Zhou

摘要

With the access of a large number of distributed power sources, the structure and status of traditional distribution network have changed greatly. Therefore, it is necessary to establish a comprehensive evaluation system to evaluate the hosting capacity of the new distribution network from multiple aspects. Firstly, the hosting capacity model of distribution network with distributed resource access was constructed, and the second-order cone programming model was used to improve the solution speed of the model. Then, a comprehensive evaluation system of distribution network hosting capacity was constructed by proposing multiple indicators covering security, economy and flexibility. Each evaluation index was calculated according to the solution results of the model, and the calculation results of each index were converted into a comprehensive score by the combination weighting method composed of entropy weight method and analytic hierarchy process. Finally, the proposed evaluation method was verified by an example analysis of the IEEE 33 distribution network model.