kth.sePublications
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
Behind the Meter Strategies Energy management system with a Swedish case study
CheckWatt, S-17070 Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-4763-9429
CheckWatt, S-17070 Stockholm, Sweden..
CheckWatt, S-17070 Stockholm, Sweden..
2021 (English)In: IEEE Electrification Magazine, ISSN 2325-5897, Vol. 9, no 3, p. 112-119Article in journal (Refereed) Published
Abstract [en]

The Introduction of Smart Meters (SMs) is one of the fundamental changes for the intelligent power grid. SMs provide input data from the electricity customers, which might also be a local electricity producer, also called prosumers. This article proposes novel strategies using an energy management system (EMS) to enhance economic value for the prosumers and for the network operators in terms of reliability performance and flexibility of the electricity power grid. These strategies, referred to as behind the meter strategies, could be influenced, e.g., using a battery energy storage system (BESS), plug-in electric vehicles (PEVs), and various alternatives of local electricity generation like solar photovoltaic (PV) or wind power. Using remote sensing and the reading functionality of SMs, the BESS can be intelligently managed by an EMS that uses the BESS resource for multiple ancillary services, thereby generating additional value from the present resource.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 9, no 3, p. 112-119
Keywords [en]
Meters, Economics, Schedules, Wind power generation, Power grids, Reliability, Prognostics and health management
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-301991DOI: 10.1109/MELE.2021.3093638ISI: 000692231400021Scopus ID: 2-s2.0-85114471906OAI: oai:DiVA.org:kth-301991DiVA, id: diva2:1594914
Note

QC 20210916

Available from: 2021-09-16 Created: 2021-09-16 Last updated: 2022-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bertling Tjernberg, Lina

Search in DiVA

By author/editor
Bertling Tjernberg, Lina
By organisation
Electric Power and Energy Systems
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 486 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