refs.bib

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@Article{ALC2016ja,
  Title                    = {Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition},
  Author                   = {P. Aristidou and S. Lebeau and T. Van Cutsem},
  Journal                  = {IEEE Transactions on Power Systems},
  Year                     = {2016},

  Month                    = {Sept},
  Number                   = {5},
  Pages                    = {3984-3995},
  Volume                   = {31},

  Abstract                 = {As the need for faster power system dynamic simulations increases, it is essential to develop new algorithms that exploit parallel computing to accelerate those simulations. This paper proposes a parallel algorithm based on a two-level, Schur-complement-based, domain decomposition method. The two-level partitioning provides high parallelization potential (coarse- and fine-grained). In addition, due to the Schur-complement approach used to update the sub-domain interface variables, the algorithm exhibits high global convergence rate. Finally, it provides significant numerical and computational acceleration. The algorithm is implemented using the shared-memory parallel programming model, targeting inexpensive multi-core machines. Its performance is reported on a real system as well as on a large test system combining transmission and distribution networks.},
  Doi                      = {10.1109/TPWRS.2015.2509023},
  ISSN                     = {0885-8950},
  Keywords                 = {distribution networks;parallel algorithms;parallel programming;power system simulation;shared memory systems;transmission networks;distribution networks;global convergence rate;multicore machines;parallel algorithm;parallel computing;parallel two-level Schur-complement decomposition;power system dynamic simulations;shared-memory parallel programming model;sub-domain interface variables;transmission networks;two-level partitioning;Acceleration;Computational modeling;Heuristic algorithms;Mathematical model;Power system dynamics;Satellites;Domain decomposition methods;OpenMP;Schur-complement;power system dynamic simulation;shared-memory},
  Url                      = {http://orbi.ulg.ac.be/handle/2268/189192}
}

@Article{ALLVC2016ja,
  Title                    = {Prospects of a new dynamic simulation software for real-time applications on the Hydro-Quebec system},
  Author                   = {Aristidou, P. and Lebeau, S. and Loud, L. and {Van Cutsem}, T.},
  Journal                  = {CIGRE Science \& Engineering},
  Year                     = {2016},

  Month                    = {February},
  Number                   = {1},
  Pages                    = {88--95},
  Volume                   = {4},

  Abstract                 = {Hydro-Quebec has a long interest in on-line Dynamic Security Assessment (DSA) driven by its challenging system dynamics. Presently, off-line calculated security limits are combined with an on-line monitoring system. However, new developments in dynamic simulation enable real-time or near-real-time DSA calculations and transfer limits determination. In this paper, the domain-decomposition-based algorithm implemented in the simulator RAMSES is presented, along with techniques to accelerate its sequential and parallel executions. RAMSES exploits the localized response to disturbances and the time-scale decomposition of dynamic phenomena to provide sequential acceleration when the simulation is performed on a single processing unit. Additionally, when more units are available, the parallelization potential of domain-decomposition methods is exploited for further acceleration. The algorithm and techniques have been tested on a realistic model of the Hydro-Québec system to evaluate the accuracy of dynamic responses and the sequential and parallel performances. Finally, the real-time capabilities have been assessed using a shared-memory parallel processing platform.},
  Url                      = {http://www.cigre.org/Menu-links/Publications/CIGRE-Science-Engineering}
}

@Article{AVC2015ja,
  Title                    = {A Parallel Processing Approach to Dynamic Simulations of Combined Transmission and Distribution Systems},
  Author                   = {Aristidou, P. and {Van Cutsem},T.},
  Journal                  = {International Journal of Electrical Power \& Energy Systems},
  Year                     = {2015},

  Month                    = {Nov},
  Pages                    = {58--65},
  Volume                   = {72},

  Abstract                 = {Simulating a power system with both transmission and distribution networks modeled in detail is a huge computational challenge. In this paper, a Schur-complement-based domain decomposition algorithm is proposed to provide accurate, detailed dynamic simulations of the combined system. The simulation procedure is accelerated with the use of parallel programming techniques, taking advantage of the parallelization opportunities inherent to domain decomposition algorithms. The proposed algorithm is general, portable and scalable on inexpensive, shared-memory, multi-core machines. A large-scale test system is used for its performance evaluation.},
  Doi                      = {10.1016/j.ijepes.2015.02.011},
  Url                      = {http://hdl.handle.net/2268/178765}
}

@Article{AFC2014ja,
  Title                    = {Dynamic Simulation of Large-Scale Power Systems Using a Parallel Schur-Complement-Based Decomposition Method},
  Author                   = {P. Aristidou and D. Fabozzi and T. Van Cutsem},
  Journal                  = {IEEE Transactions on Parallel and Distributed Systems},
  Year                     = {2014},

  Month                    = {Oct},
  Number                   = {10},
  Pages                    = {2561-2570},
  Volume                   = {25},

  Abstract                 = {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.},
  Doi                      = {10.1109/TPDS.2013.252},
  ISSN                     = {1045-9219},
  Keywords                 = {numerical analysis;parallel programming;power system simulation;computational acceleration;dynamic simulation;electric power systems;large-scale power systems;parallel Schur-complement-based decomposition method;power system dynamic simulations;shared-memory multicore machines;shared-memory parallel programming model;Computational modeling;Equations;Heuristic algorithms;Mathematical model;Parallel algorithms;Power system dynamics;Domain decomposition methods;OpenMP;Schur complement;power system dynamic simulation;shared-memory},
  Url                      = {http://hdl.handle.net/2268/156230}
}

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