Critical machine cluster identification using the equal area criterion

Johannes Tilman Gabriel Weckesser, Hjörtur Jóhannsson, Jacob Østergaard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The paper introduces a new method to early identify the critical machine cluster (CMC) after a transient disturbance. For transient stability assessment with methods based on the equal area criterion it is necessary to split the generators into a group of critical and non-critical machines. The generators in the CMC are those likely to lose synchronism. The early and reliable identification of the CMC is crucial and one of the major challenges. The proposed new approach is based on the assessment of the rotor dynamics between two machines and the evaluation of their coupling strength. A novel coupling coefficient is derived and a cluster identification algorithm is developed. The algorithm determines the CMC based on the impact of the fault on the derived coupling coefficient of individual generator pairs. The results from two cases are presented and discussed, where the CMC is successfully determined just after fault clearance.
Original languageEnglish
Title of host publicationProceedings of 2015 IEEE Power & Energy Society General Meeting
PublisherIEEE
Publication date2015
Pages1-5
ISBN (Print)9781467380409
DOIs
Publication statusPublished - 2015
EventIEEE Power and Energy Society General Meeting 2015 - Denver, CO, United States
Duration: 26 Jul 201530 Jul 2015

Conference

ConferenceIEEE Power and Energy Society General Meeting 2015
CountryUnited States
CityDenver, CO
Period26/07/201530/07/2015

Keywords

  • Engineering Profession
  • Power, Energy and Industry Applications
  • Couplings
  • Generators
  • Power system stability
  • Rotors
  • Stability analysis
  • Transient analysis

Cite this

Weckesser, J. T. G., Jóhannsson, H., & Østergaard, J. (2015). Critical machine cluster identification using the equal area criterion. In Proceedings of 2015 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE. https://doi.org/10.1109/PESGM.2015.7285937
Weckesser, Johannes Tilman Gabriel ; Jóhannsson, Hjörtur ; Østergaard, Jacob. / Critical machine cluster identification using the equal area criterion. Proceedings of 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. pp. 1-5
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title = "Critical machine cluster identification using the equal area criterion",
abstract = "The paper introduces a new method to early identify the critical machine cluster (CMC) after a transient disturbance. For transient stability assessment with methods based on the equal area criterion it is necessary to split the generators into a group of critical and non-critical machines. The generators in the CMC are those likely to lose synchronism. The early and reliable identification of the CMC is crucial and one of the major challenges. The proposed new approach is based on the assessment of the rotor dynamics between two machines and the evaluation of their coupling strength. A novel coupling coefficient is derived and a cluster identification algorithm is developed. The algorithm determines the CMC based on the impact of the fault on the derived coupling coefficient of individual generator pairs. The results from two cases are presented and discussed, where the CMC is successfully determined just after fault clearance.",
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Weckesser, JTG, Jóhannsson, H & Østergaard, J 2015, Critical machine cluster identification using the equal area criterion. in Proceedings of 2015 IEEE Power & Energy Society General Meeting. IEEE, pp. 1-5, IEEE Power and Energy Society General Meeting 2015, Denver, CO, United States, 26/07/2015. https://doi.org/10.1109/PESGM.2015.7285937

Critical machine cluster identification using the equal area criterion. / Weckesser, Johannes Tilman Gabriel; Jóhannsson, Hjörtur; Østergaard, Jacob.

Proceedings of 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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N2 - The paper introduces a new method to early identify the critical machine cluster (CMC) after a transient disturbance. For transient stability assessment with methods based on the equal area criterion it is necessary to split the generators into a group of critical and non-critical machines. The generators in the CMC are those likely to lose synchronism. The early and reliable identification of the CMC is crucial and one of the major challenges. The proposed new approach is based on the assessment of the rotor dynamics between two machines and the evaluation of their coupling strength. A novel coupling coefficient is derived and a cluster identification algorithm is developed. The algorithm determines the CMC based on the impact of the fault on the derived coupling coefficient of individual generator pairs. The results from two cases are presented and discussed, where the CMC is successfully determined just after fault clearance.

AB - The paper introduces a new method to early identify the critical machine cluster (CMC) after a transient disturbance. For transient stability assessment with methods based on the equal area criterion it is necessary to split the generators into a group of critical and non-critical machines. The generators in the CMC are those likely to lose synchronism. The early and reliable identification of the CMC is crucial and one of the major challenges. The proposed new approach is based on the assessment of the rotor dynamics between two machines and the evaluation of their coupling strength. A novel coupling coefficient is derived and a cluster identification algorithm is developed. The algorithm determines the CMC based on the impact of the fault on the derived coupling coefficient of individual generator pairs. The results from two cases are presented and discussed, where the CMC is successfully determined just after fault clearance.

KW - Engineering Profession

KW - Power, Energy and Industry Applications

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Weckesser JTG, Jóhannsson H, Østergaard J. Critical machine cluster identification using the equal area criterion. In Proceedings of 2015 IEEE Power & Energy Society General Meeting. IEEE. 2015. p. 1-5 https://doi.org/10.1109/PESGM.2015.7285937