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
Estimation of Power system frequency response based on measured & simulated frequencies
KTH, Superseded Departments, Electric Power Systems.ORCID iD: 0000-0002-8308-5884
KTH, Superseded Departments, Electric Power Systems.ORCID iD: 0000-0002-8189-2420
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
2016 (English)In: IEEE Power and Energy Society General Meeting, IEEE, 2016Conference paper (Refereed)
Abstract [en]

Electrical Power systems are going through a transition of increasing penetration of Renewable Energy Sources (RES) and growing transmission capacity between Asynchronous Areas (TBAA). Maintaining a reliable power balance is essential but most new RES and TBAA are not delivering Primary Frequency Controlled Reserves (PFCR) and not enhancing power systems Frequency Response Characteristics β. The issue addressed within this paper is to estimate β in this context. Accurate estimation is important for power system modelling or Automatic Secondary Reserve (ASR) design. We propose a method to estimate Frequency Response Characteristics based on measured and simulated frequencies. In this paper, we propose an iterative optimization method to obtain high resolution data from low resolution measurement. Based on the high resolution data, β is estimated with a σ approach. Then, we use linear regression to estimate the normal Frequency Containment Reserves (FCR). The proposed methods are tested in a Nordic Synchronous Power System case. Results show that our methods can give accurate estimations of frequency response characteristics and FCR.

Place, publisher, year, edition, pages
IEEE, 2016.
Keyword [en]
Frequency Bias Factor, Frequency Controlled Reserves, Frequency Response Characteristic, Nordic Power System, Electric power system control, Electric power systems, Electric power transmission, Frequency response, Iterative methods, Renewable energy resources, Electrical power system, Frequency bias, Power system frequencies, Renewable energy source, Transmission capacities, Frequency estimation
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-202144DOI: 10.1109/PESGM.2016.7741498ScopusID: 2-s2.0-85001764892ISBN: 9781509041688 OAI: oai:DiVA.org:kth-202144DiVA: diva2:1081285
Conference
2016 IEEE Power and Energy Society General Meeting, PESGM 2016, 17 July 2016 through 21 July 2016
Note

QC 20170313

Available from: 2017-03-13 Created: 2017-03-13 Last updated: 2017-03-22Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopushttp://www.pes-gm.org/2016/

Search in DiVA

By author/editor
Nilsson, MartinSöder, LennartYuan, Z.
By organisation
Electric Power SystemsElectric Power and Energy Systems
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 9 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