Skip to main navigation Skip to search Skip to main content

Power Flow Analytical Method for Three-Phase Active Distribution Networks Based on Multi-Dimensional Holomorphic Embedding Method

  • Yuge Sun
  • , Tao Ding
  • , Tianrui Xu
  • , Chenggang Mu
  • , Pierluigi Siano
  • , Joao P.S. Catalao

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

With the increasing penetration of distributed generations (DGs) in three-phase distribution networks, the traditional radial passive distribution networks are gradually transformed into active distribution networks (ADNs) with DGs, accompanied by a dramatic increase in operational scenarios. To fast analyze the massive scenarios of ADNs, this brief proposes a multi-scenario-based power flow analytical method based on the multi-dimensional holomorphic embedding method. First, DGs are partitioned according to their spatial correlation, and then a power flow analytical method is cast for unbalanced three-phase ADNs. Finally, the method is applied to the ADN power flow analysis for multiple scenarios. Comparisons with other power flow calculation methods validate the high efficiency and computational tractability of the proposed method.

Original languageEnglish
Pages (from-to)5069-5073
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume69
Issue number12
DOIs
StatePublished - 1 Dec 2022

Keywords

  • Distributed generation
  • multi-dimensional holomorphic embedding method
  • power flow analytical method
  • unbalanced three-phase active distribution network

Fingerprint

Dive into the research topics of 'Power Flow Analytical Method for Three-Phase Active Distribution Networks Based on Multi-Dimensional Holomorphic Embedding Method'. Together they form a unique fingerprint.

Cite this