Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Agent-Based Models in Electricity Markets:A Literature Review
KTH, School of Electrical Engineering and Computer Science (EECS).ORCID iD: 0000-0002-4854-976X
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0001-6000-9363
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The complexity of modeling electricity markets is increasing, due to for example increased penetration of renewable energy sources, electric vehicles and more active participation from the demand side. An analysis of a system with multiple market participants displaying certain behavior, could be difficult through an optimization problem. Due to several advantages, agent based approach can be followed to model the behavior ofdifferent market participants in the electricity markets. Lately, considerable amount of research work has been carried out on developing Agent-Based Models (ABMs) for electricity markets.This paper is aimed at providing a review of the literature on different applications of ABM in electricity markets. It is shown that ABMs have been applied to a wide range of studies of different parts of electricity trading. Some specific electricity marketsmodeled with ABMs have also been mentioned. According tothe literature survey, the research gap is highlighted and future scope of work in this area is discussed.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2019. , p. 6
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-262740OAI: oai:DiVA.org:kth-262740DiVA, id: diva2:1362437
Conference
IEEE ISGT Asia 2019
Note

QC 20191024

Available from: 2019-10-20 Created: 2019-10-20 Last updated: 2019-10-24Bibliographically approved

Open Access in DiVA

fulltext(350 kB)17 downloads
File information
File name FULLTEXT01.pdfFile size 350 kBChecksum SHA-512
393c4bb25c84ac3e95c663b86e28c26ca6eb0db53c92ddc5b3aba1c397608bf353d1fed1cb12b14d939626e3b3a39ed3061f3c16c7fd625bf027662a1fc88c4b
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Shinde, PriyankaAmelin, Mikael
By organisation
School of Electrical Engineering and Computer Science (EECS)Electric Power and Energy Systems
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 17 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 32 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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