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
A network control system for hydro plants to counteract the non-synchronous generation integration
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
Show others and affiliations
2019 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 105, p. 404-419Article in journal (Refereed) Published
Abstract [en]

Sweden, a country with abundant hydro power, has expectations to include more wind power into its electrical system. Currently, in order to improve the frequency response requirements of its electrical system, the country is considering upgrading its hydro-governors. This effort is part of maintaining the system frequency and reaction within their limits following any disturbance events. To partially compensate for increased frequency fluctuations due to an increased share of renewables on its system, the frequency response of hydro-governors should be improved. This paper proposes an innovative network control system, through a supplementary control, for the improvement of the hydro-governor's action. This supplementary control allows having more flexibility over the control action and improves the primary frequency control, and thereby the overall system frequency response. The proposed supplementary control, based on an evolutionary game theory strategy, uses remote measurements and a hierarchical dynamic adjustment of the control. Additionally, in order to guarantee an optimal response, a Simulated Annealing Algorithm (SAA) is combined with the supplementary control. This paper illustrates the analysis and design of the proposed methodology, and is tested on two power systems models: (i) an aggregated model that represents the frequency response of Sweden, Norway and Finland, and (ii) The Nordic 32 test system.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 105, p. 404-419
Keywords [en]
Frequency control, Hydro-governors, Non-synchronous generation, Primary control, Replicator dynamics, Simulated Annealing Algorithm, Wind power, Control systems, Electric frequency control, Frequency response, Game theory, Simulated annealing, Evolutionary game theory, Network control systems, Non-synchronous generations, Primary frequency control, Simulated annealing algorithm(SAA), Simulated annealing algorithms, Governors
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-236326DOI: 10.1016/j.ijepes.2018.08.020ISI: 000449447200036Scopus ID: 2-s2.0-85052445997OAI: oai:DiVA.org:kth-236326DiVA, id: diva2:1264432
Note

QC 20181120

Available from: 2018-11-20 Created: 2018-11-20 Last updated: 2018-11-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Chamorro Vera, Harold Rene

Search in DiVA

By author/editor
Chamorro Vera, Harold Rene
By organisation
Electric Power and Energy Systems
In the same journal
International Journal of Electrical Power & Energy Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 830 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