Dynamic Tariff-Subsidy Method for PV and V2G Congestion Management in Distribution Networks

Shaojun Huang, Qiuwei Wu*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

This paper proposes a dynamic tariff-subsidy (DTS) method for congestion management in distribution networks with high penetration of photovoltaics (PV), heat pumps (HPs) and electric vehicles (EVs) with vehicle-to-grid (V2G) function. The DTS method is an extension of the dynamic tariff method proposed in the previous study. With the DTS, the regulation prices can be positive (tariff) or negative (subsidy). The study shows that the negative regulation price is necessary and very effective to solve congestion due to feed-in power flows, such as PVs and EVs in the V2G mode. In the study, dual decomposition of a convex quadratic model is proposed in addition to a conventional method for the DTS calculation. The case studies on the Roy Billinton Test System (RBTS) demonstrate the efficacy of the DTS method for congestion management in distribution networks.
Original languageEnglish
JournalIEEE Transactions on Smart Grid
Volume10
Issue number5
Pages (from-to)5851-5860
Number of pages10
ISSN1949-3053
DOIs
Publication statusPublished - 2019

Keywords

  • Congestion management
  • Distribution system operator (DSO)
  • Dynamic tariff-subsidy
  • Electric vehicle (EV)
  • Heat pump (HP)
  • Photovoltaics (PV)

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