Critical Analysis of the Profitability of Demand Response for End-Consumers and Aggregators with Flat-Rate Retail Pricing

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Aggregators are considered essential to extend demand response (DR) to small residential and service sector consumers. Both sectors currently have untapped load flexibility, which is considered key to support renewable resource integration. Aggregators can offer this flexibility in bulk to other power system parties. This paper addresses the question under which conditions DR can be profitable for both aggregators and end-consumers. The paper builds further on existing research that shows end-consumer preference for flat-rate tariffs. The aim is to find the range of flat-rate retail prices for different photovoltaic (PV) feed-in-Tariffs which make DR profitable for both aggregator and end-consumers. For this purpose, an optimisation model which minimises costs through load scheduling is presented. The model is applied using two approaches: optimising from aggregator's and from end-consumers' perspective. The results show that only the aggregator's perspective yields a range of flat-rate retail prices that are profitable for both actors. However, both the price range and the expected profits of DR are small.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
EditorsMladen Kezunovic, Meliha Selak
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-5386-4505-5
DOIs
Publication statusPublished - 2018
EventIEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 - Sarajevo, Bosnia and Herzegovina
Duration: 21 Oct 201825 Oct 2018

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
Country/TerritoryBosnia and Herzegovina
CitySarajevo
Period21/10/1825/10/18

Bibliographical note

Accepted Author Manuscript

Keywords

  • Aggregator
  • demand response
  • optimisation
  • pricing
  • renewable generation

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