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Holomorphic Embedding Power Flow for AC/DC Hybrid Power Systems Using Bauer's Eta Algorithm

  • Yudi Zhao
  • , Chongtao Li
  • , Tao Ding
  • , Zhiguo Hao
  • , Fangxing Li
  • Xi'an Jiaotong University
  • University of Tennessee

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

In this paper, the holomorphic embedding power flow method (HELM) is designed to solve the AC/DC hybrid power flow equations. According to the power flow model of the high voltage direct current systems (HVDC), an appropriate embedding technique with three recursive algorithms is developed for three different control modes, which is compatible with existing achievements of HELM for AC systems. In this method, the advantages of HELM, such as non-iterative, deterministic and non-ambiguous, are fully retained. In addition, a new calculation strategy based on Bauer's Eta algorithm is designed for the implementation of Padé approximations and the recursive process to avoid redundant calculations without reducing accuracy. In order to verify the reliability and effectiveness of the proposed extended HELM, several power flow cases with different scale are studied by HELM and traditional iterative method.

Original languageEnglish
Article number9271871
Pages (from-to)3595-3606
Number of pages12
JournalIEEE Transactions on Power Systems
Volume36
Issue number4
DOIs
StatePublished - Jul 2021

Keywords

  • AC/DC hybrid power system
  • HVDC
  • Holomorphic embedding power flow method (HELM)
  • Padé approximations
  • power flow

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