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
Evaluation methods for market models used in smart grids
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2013 (English)In: 22nd International Conference and Exhibition on Electricity Distribution, CIRED 2013, 2013, no 615 CP, 0937- p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates how demand response pilot projects for the residential sector can be evaluated. A simplified framework for how demand response pilot projects carried out for the residential sector can be designed has been developed. A review of 135 international pilot projects has been made. Interesting findings were that bill savings is the most common reason for participating and that customers tend to respond to blocks of prices instead of sudden increases in a certain hour. Also, customers tend to reduce their use of electricity when peak to off-peak price ratio is above three. Another finding concerning evaluation methods for DR smart grid projects is that a control group should be used to ensure the validity of a pilot project. The control group should be monitored simultaneously as the treatment group. This can facilitate determination of the true cause and effect relationship between variables and indicators.

Place, publisher, year, edition, pages
2013. no 615 CP, 0937- p.
Keyword [en]
Cause-and-effect relationships, Control groups, Demand response, Evaluation methods, Market model, Pilot projects, Residential sectors, Treatment group, Electric power distribution, Electric utilities, Exhibitions, Smart power grids
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-146924DOI: 10.1049/cp.2013.0937Scopus ID: 2-s2.0-84897637379ISBN: 978-184919732-8 (print)OAI: oai:DiVA.org:kth-146924DiVA: diva2:729154
Conference
22nd International Conference and Exhibition on Electricity Distribution, CIRED 2013; Stockholm; Sweden; 10 June 2013 through 13 June 2013
Note

QC 20140625

Available from: 2014-06-25 Created: 2014-06-18 Last updated: 2014-06-25Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ibrahim, HanySkillbäck, MikaelAlvehag, Karin
By organisation
Electric Power Systems
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 57 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