Critical machine cluster identification using the equal area criterion

Johannes Tilman Gabriel Weckesser; Hjörtur Jóhannsson; Jacob Østergaard

doi:10.1109/PESGM.2015.7285937

Critical machine cluster identification using the equal area criterion

Johannes Tilman Gabriel Weckesser, Hjörtur Jóhannsson, Jacob Østergaard

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of 2015 IEEE Power & Energy Society General Meeting
Publisher	IEEE
Publication date	2015
Pages	1-5
ISBN (Print)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285937
Publication status	Published - 2015
Event	2015 IEEE Power & Energy Society General Meeting - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015 https://ieeexplore.ieee.org/xpl/conhome/7271236/proceeding

Conference

Conference	2015 IEEE Power & Energy Society General Meeting
Country/Territory	United States
City	Denver
Period	26/07/2015 → 30/07/2015
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7271236/proceeding

Keywords

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

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10.1109/PESGM.2015.7285937

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SOSPO: Secure Operation of Sustainable Power Systems
Østergaard, J. (Project Manager), Jóhannsson, H. (Project Manager), Nielsen, A. H. (Project Participant), Garcia-Valle, R. (Project Participant), Yang, G. (Project Participant), Lind, M. (Project Participant), Blanke, M. (Project Participant), Weckesser, T. (PhD Student), Wittrock, M. L. (PhD Student), Møller, J. G. (PhD Student), Perez, A. (PhD Student), Pedersen, A. S. (PhD Student) & Zhang, X. (Project Participant)
01/01/2012 → 31/03/2016
Project: Research

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Cite this

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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.",

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

author = "Weckesser, {Johannes Tilman Gabriel} and Hj{\"o}rtur J{\'o}hannsson and Jacob {\O}stergaard",

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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

KW - Couplings

KW - Generators

KW - Power system stability

KW - Rotors

KW - Stability analysis

KW - Transient analysis

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PB - IEEE

T2 - 2015 IEEE Power & Energy Society General Meeting

Y2 - 26 July 2015 through 30 July 2015

ER -

Critical machine cluster identification using the equal area criterion

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Keywords

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SOSPO: Secure Operation of Sustainable Power Systems

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