Uncertainty Management of Dynamic Tariff Method for Congestion Management in Distribution Networks

Shaojun Huang, Qiuwei Wu, Lin Cheng, Zhaoxi Liu, Haoran Zhao

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Abstract

The dynamic tariff (DT) method is designed for the distribution system operator (DSO) to alleviate congestions that might occur in a distribution network with high penetration of distributed energy resources (DERs). Uncertainty management is required for the decentralized DT method because the DT is de- termined based on optimal day-ahead energy planning with forecasted parameters such as day-ahead energy prices and en- ergy needs which might be different from the parameters used by aggregators. The uncertainty management is to quantify and mitigate the risk of the congestion when employing the DT method, which is achieved by firs tly formulating the problem as a chance constrained two-level optimization and then solving the problem through an iterative procedure. Two case studies were conducted to demonstrate the efficacy of the uncertainty man- agement of DT method.
Original languageEnglish
JournalI E E E Transactions on Power Systems
Volume31
Issue number6
Pages (from-to)4340-4347
ISSN0885-8950
DOIs
Publication statusPublished - 2016

Bibliographical note

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Keywords

  • Chance constrained program
  • Congestion man- agement
  • Distribution system opera tor (DSO)
  • Distributed energy resources (DERs)
  • Uncertainty management

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