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A Model Reduction Approach for Simulation of Long-term Voltage and Frequency Dynamics
Weckesser, Johannes; Franz, Valeri; Grebe, Eckhard et al.
2017In 12th IEEE PES PowerTech Conference 2017
Peer reviewed
 

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Keywords :
model reduction; equivalent; dynamic security assessment; long-term voltage dynamics; frequency dynamics
Abstract :
[en] This paper presents a novel approach, which identifies a buffer zone around a given study system and replaces the external system with an equivalent. The aim is to obtain a reduced system, which is suitable for assessment of long-term voltage and frequency dynamics in the study system. First, the proposed methodology ensures that all components, which are impacting the voltage profile of the study system, are included in the buffer zone. For that purpose, the propagation of reactive power changes from the boundary of the study system into the external system are used in a modified depth-first search algorithm to identify the buffer zone. Second, the external system is replaced with equivalents accounting for inertia and primary frequency control effects. The proposed method was successfully tested on a modified version of the ENTSO-E Dynamic Study Model.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Weckesser, Johannes ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Franz, Valeri;  Amprion GmbH, Germany
Grebe, Eckhard;  Amprion GmbH, Germany
Van Cutsem, Thierry  ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
A Model Reduction Approach for Simulation of Long-term Voltage and Frequency Dynamics
Publication date :
June 2017
Event name :
12th IEEE PES PowerTech Conference
Event organizer :
IEEE Power and Energy Society
Event place :
Manchester, United Kingdom
Event date :
from 18-06-2017 to 22-06-2017
Audience :
International
Main work title :
12th IEEE PES PowerTech Conference 2017
Peer reviewed :
Peer reviewed
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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since 20 April 2017

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