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Uncertainty Quantification Method of Distribution Network Power Flow Considering the Random and Fuzzy Characteristics of Source-loadChinese Full Text

FANG Xiaotao;YAN Zheng;WANG Han;XU Xiaoyuan;Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education (Shanghai Jiao Tong University);

Abstract: The proportion of distributed renewable energy generation in distribution network increases year by year, and its uncertainty brings challenges to the safe operation of distribution network. It is important to quantify the impacts of source-load uncertainty on distribution network power flow.Considering the random and fuzzy characteristics of source-load, this paper established a random source-load fuzzy parameter model. Then, an uncertainty quantification method was proposed for distribution ne... More
  • DOI:

    10.13334/j.0258-8013.pcsee.211546

  • Series:

    (C) Architecture/ Energy/ Traffic/ Electromechanics, etc

  • Subject:

    Electric Power Industry

  • Classification Code:

    TM744

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