Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Aggregator trading and demand dispatch under price and load uncertainty
RISE - Research Institutes of Sweden, Safety and Transport, Measurement Science and Technology.ORCID iD: 0000-0003-2092-6866
2016 (English)In: IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016Conference paper, Published paper (Refereed)
Abstract [en]

The liberalization of electricity markets and the transformation of electric power systems to include large amounts of variable output generation, has led to a growing interest in flexible demand and demand response. Making demand response available on the wholesale market on a large scale is a challenge. Retailers and aggregators, providing services to individual consumers as well as bringing aggregated flexibility to the wholesale market, is foreseen to play important roles in this respect. This paper presents a aggregator decision support model for demand scheduling, including demand response and purchase bid optimization for day-ahead markets. Income from providing electricity to consumers, and costs related to imbalances, rescheduling and energy not served are also considered. The model includes risk management by applying the conditional value-at-risk risk measure. The feasibility of the developed model is validated through a case study using historical data from the Swedish power system and market.

Place, publisher, year, edition, pages
2016.
Keywords [en]
Demand response, aggregator, day-ahead market, risk management, stochastic programming
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31036DOI: 10.1109/ISGTEurope.2016.7856228Scopus ID: 2-s2.0-85017529911ISBN: 9781509033584 (print)OAI: oai:DiVA.org:ri-31036DiVA, id: diva2:1138513
Conference
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe 2016), October 9-12, 2016, Ljubljana, Slovenia
Available from: 2017-09-05 Created: 2017-09-05 Last updated: 2019-06-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Brolin, Magnus

Search in DiVA

By author/editor
Brolin, Magnus
By organisation
Measurement Science and Technology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.8