State-space model generation of distribution networks for model order reduction application

  • Peng Li
  • , Hao Yu
  • , Chengshan Wang
  • , Chengdi Ding
  • , Chongbo Sun
  • , Qiang Zeng
  • , Binghui Lei
  • , Haitao Li
  • , Xiaoyun Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Model order reduction has been the research focus for a long time in large system modeling and simulation field and is also of great significance in distribution grid simulations. However the model formulation requirements of many typical MOR (Model Order Reduction) methods restrict their applications in distribution grids. This paper presents an automated state-space model generation method of large-scale distribution networks for MOR application. The formulation requirements of general MOR methods can be well satisfied with this proposed model. It also shows great advantages over the commonly used MNA (Modified Nodal Analysis) formulation in many aspects. Simulations are performed using the benchmark low voltage test case, proving that the proposed method is feasible as a powerful tool in the modeling and simulation of large-scale distribution grids.

Original languageEnglish
Title of host publication2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada
Duration: 21 Jul 201325 Jul 2013

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/TerritoryCanada
CityVancouver, BC
Period21/07/1325/07/13

Keywords

  • distribution grid
  • model order reduction
  • state-space model generation
  • transient simulation

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