Optimal reconfiguration-based dynamic tariff for congestion management and line loss reduction in distribution networks

Shaojun Huang, Qiuwei Wu, Lin Cheng, Zhaoxi Liu

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper presents an optimal reconfiguration-based dynamic tariff (DT) method for congestion management and line loss reduction in distribution networks with high penetration of electric vehicles. In the proposed DT concept, feeder reconfiguration (FR) is employed through mixed integer programming when calculating the DT, leading to minimized energy cost and reduced DT as compared with the DT concept without FR. This paper further demonstrates that the line losses can be taken into account during the calculation of DT. As a result, the line loss reduction can be realized in a decentralized manner through the DT framework. Three case studies were conducted to validate the optimal reconfiguration-based DT method for congestion management and line loss reduction in distribution networks.
Original languageEnglish
JournalIEEE Transactions on Smart Grid
Volume7
Issue number3
Pages (from-to)1295-1303
ISSN1949-3053
DOIs
Publication statusPublished - 2016

Keywords

  • Congestion management
  • dynamic tariff (DT)
  • electric vehicle (EV)
  • feeder reconfiguration (FR)
  • line loss reduction
  • mixed integer programming (MIP)
  • Integer programming
  • Traffic congestion
  • Case-studies
  • Energy cost
  • Feeder reconfigurations
  • Line loss
  • Mixed integer programming
  • Optimal reconfigurations
  • Electric losses

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