time simulations; domain decomposition methods; parallel computing; OpenMP; Schur-complement
Abstract :
[en] 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 such systems. 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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Aristidou, Petros ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Van Cutsem, Thierry ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
A Parallel Processing Approach to Dynamic Simulations of Combined Transmission and Distribution Systems
Publication date :
November 2015
Journal title :
International Journal of Electrical Power and Energy Systems
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Bibliography
Koester D, Ranka S, Fox G. Power systems transient stability-A grand computing challenge. Northeast Parallel Architectures Center, Syracuse, NY, Tech. Rep. SCCS 549; 1992.
Green R, Wang L, Alam M. High performance computing for electric power systems: applications and trends, in: Proc. of the IEEE PES general meeting; 2011. doi: http://dx.doi.org/10.1109/PES.2011.6039420.
U.D. Annakkage, N.K.C. Nair, Y. Liang, A.M. Gole, V. Dinavahi, and B. Gustavsen et al. Dynamic system equivalents: a survey of available techniques IEEE Trans Power Delivery 27 1 2012 411 420 http://dx.doi.org/10.1109/TPWRD.2011.2167351
T. Short Electric power distribution handbook Electric power engineering series 2003 Taylor & Francis
P. Kundur Power system stability and control 1994 McGraw-Hill New York
B. Stott Power system dynamic response calculations Proc IEEE 67 2 1979 219 241 http://dx.doi.org/10.1109/PROC.1979.11233
Saad Y. Iterative methods for sparse linear systems, 2nd ed. Society for Industrial and Applied Mathematics; 2003.
B. Chapman, G. Jost, and R. Van Der Pas Using OpenMP: portable shared memory parallel programming 2007 MIT Press
J. Chai, and A. Bose Bottlenecks in parallel algorithms for power system stability analysis IEEE Trans Power Syst 8 1 1993 9 15 http://dx.doi.org/10.1109/59.221242
Fabozzi D, Chieh A, Panciatici P, Van Cutsem T. On simplified handling of state events in time-domain simulation. In: Proc. of the 17th power systems computation conference; 2011. < http://hdl.handle.net/2268/91650 >.
Van Cutsem T, Papangelis L. Description, modeling and simulation results of a test system for voltage stability analysis. Internal report, University of Liège; November 2013. < http://hdl.handle.net/2268/141234 >.
Ishchenko A. Dynamics and stability of distribution networks with dispersed generation. Ph.D. thesis, Dept. Electrical. Eng., Univ. TU/E, The Netherlands; 2008.
Ellis A, Kazachkov Y, Muljadi E, Pourbeik P, Sanchez-Gasca J. Description and technical specifications for generic WTG models: a status report. In: Proc. of the IEEE PES power systems conference and exposition; 2011. doi: http://dx.doi.org/10.1109/PSCE.2011.5772473.
Schlabbach J. Low voltage fault ride through criteria for grid connection of wind turbine generators. In: Proc. of the 5th international conference on european electricity market (EEM); 2008. doi: http://dx.doi.org/10.1109/EEM.2008.4578999.
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