Dynamic Simulation of Large-Scale Power Systems Using a Parallel Schur-Complement-Based Decomposition Method

Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement...

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Veröffentlicht in:IEEE transactions on parallel and distributed systems Jg. 25; H. 10; S. 2561 - 2570
Hauptverfasser: Aristidou, Petros, Fabozzi, Davide, Van Cutsem, Thierry
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schlagworte:
Acceleration
Algorithms
Complement
Computational modeling
Computer simulation
Domain decomposition methods
Dynamical systems
Dynamics
Electric power generation
Electrical & electronics engineering
Engineering, computing & technology
Equations
Heuristic algorithms
Ingénierie électrique & électronique
Ingénierie, informatique & technologie
Mathematical model
Mathematical models
OpenMP
ower system dynamic simulation
Parallel algorithms
power system dynamic simulation
Power system dynamics
Schur complement
shared-memory
ISSN:1045-9219, 1558-2183, 1558-2183
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement domain decomposition method. The algorithm provides numerical and computational acceleration of the procedure. Based on the shared-memory parallel programming model, a parallel implementation of the proposed algorithm is presented. The implementation is general, portable and scalable on inexpensive, shared-memory, multi-core machines. Two realistic test systems, a medium-scale and a large-scale, are used for performance evaluation of the proposed method.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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scopus-id:2-s2.0-84907205732
ISSN:1045-9219
1558-2183
1558-2183
DOI:10.1109/TPDS.2013.252