A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

Tao Ding, Cheng Li, Can Huang, Yongheng Yang, Fangxing Li, Frede Blaabjerg

Research output: Contribution to journalJournal articlepeer-review

13 Citations (Scopus)
221 Downloads (Pure)

Abstract

In order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master–slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.
Original languageEnglish
Article number7811214
JournalIEEE Systems Journal
Volume12
Issue number3
Pages (from-to)2739-2748
Number of pages10
ISSN1932-8184
DOIs
Publication statusPublished - Sep 2018

Keywords

  • Curve fitting
  • decomposition
  • hierarchical modeling
  • joint networks
  • reactive power optimization

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