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Efficient Probabilistic Load Flow Calculation Considering Vine Copula-Based Dependence Structure of Renewable Energy Generation

MA Hongyan WANG Han XU Xiaoyuan YAN Zheng MAO Guijiang

东华大学学报(英文版)2021,Vol.38Issue(5):465-470,6.
东华大学学报(英文版)2021,Vol.38Issue(5):465-470,6.DOI:10.19884/j.1672-5220.202101016

Efficient Probabilistic Load Flow Calculation Considering Vine Copula-Based Dependence Structure of Renewable Energy Generation

Efficient Probabilistic Load Flow Calculation Considering Vine Copula-Based Dependence Structure of Renewable Energy Generation

MA Hongyan 1WANG Han 2XU Xiaoyuan 2YAN Zheng 2MAO Guijiang3

作者信息

  • 1. College of Information Science and Technology,Donghua University,Shanghai 200051,China
  • 2. Key Laboratory of Control of Power Transmission and Conversion(Shanghai Jiao Tong University),Ministry of Education,Shanghai 200240,China
  • 3. State Grid Quzhou Power Supply Company,Quzhou 324000,China
  • 折叠

摘要

关键词

probabilistic load flow(PLF)/vine copula/sparse polynomial chaos expansion(SPCE)/Rosenblatt transformation(RT)

Key words

probabilistic load flow(PLF)/vine copula/sparse polynomial chaos expansion(SPCE)/Rosenblatt transformation(RT)

分类

信息技术与安全科学

引用本文复制引用

MA Hongyan,WANG Han,XU Xiaoyuan,YAN Zheng,MAO Guijiang..Efficient Probabilistic Load Flow Calculation Considering Vine Copula-Based Dependence Structure of Renewable Energy Generation[J].东华大学学报(英文版),2021,38(5):465-470,6.

基金项目

Fundamental Research Funds for the Central Universities,China(No.2232020D-53) (No.2232020D-53)

东华大学学报(英文版)

1672-5220

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