Dynamic pricing for responsive demand to increase distribution network efficiency

Chenghong Gu, Xiaohe Yan, Zhang Yan, Furong Li

Research output: Contribution to journalArticle

12 Citations (Scopus)
110 Downloads (Pure)

Abstract

This paper designs a novel dynamic tariff scheme for demand response (DR) by considering networks costs through balancing the trade-off between network investment costs and congestion costs. The objective is to actively engage customers in network planning and operation for reducing network costs and finally their electricity bills. System congestion costs are quantified according to generation and load curtailment by assessing their contribution to network congestion. Plus, network investment cost is quantified through examining the needed investment for resolving system congestion. Customers located at various might face the same energy signals but they are differentiated by network cost signals. Once customers conduct DR during system congested periods, the smaller savings from investment and congestion cost are considered as the economic singles for rewarding the response. The innovation is that the method translates network congestion/investment costs into tariffs, where current research is mainly focused on linking customer response to energy prices. A typical UK distribution network is utilised to illustrate the new approach and results show that derived economic signals can effectively benefit end customers for reducing system congestion costs and deferring required network investment.

Original languageEnglish
Pages (from-to)236-243
Number of pages8
JournalApplied Energy
Volume205
Early online date4 Aug 2017
DOIs
Publication statusPublished - 1 Nov 2017

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Electric power distribution
congestion
cost
Costs
distribution
demand
Economics
economics
trade-off
energy
savings
electricity
innovation
Electricity
Innovation
Planning

Keywords

  • Demand response
  • Generation curtailment
  • Investment
  • Load curtailment
  • Network congestion
  • Tariff

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Energy(all)

Cite this

Dynamic pricing for responsive demand to increase distribution network efficiency. / Gu, Chenghong; Yan, Xiaohe; Yan, Zhang; Li, Furong.

In: Applied Energy, Vol. 205, 01.11.2017, p. 236-243.

Research output: Contribution to journalArticle

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