Valeriu Savcenco
Eindhoven University of Technology
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Publication
Featured researches published by Valeriu Savcenco.
hawaii international conference on system sciences | 2012
Bertrand Haut; Valeriu Savcenco; Patrick Panciatici
The time evolution of power systems is modeled by systems of differential and algebraic equations (DAEs) [8]. The variables involved in these DAEs may exhibit different time scales. Some of the variables can be highly active while other variables can stay constant during the entire time integration period. In standard numerical time integration methods for DAEs the most active variables impose the time step for the whole system. We present a strategy, which allows the use of different, local time steps over the variables. The partitioning of the components of the system in different classes of activity is performed automatically based on the topology of the power system. The performance of the multirate approach for two case studies is presented.
ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010 | 2010
Valeriu Savcenco; Bertrand Haut
An efficient approach for the numerical integration of a European power system network model is described. The time evolution of the power system is modeled by a system of differential and algebraic equations. In standard numerical time integration methods the most active variables impose the time step for the whole system. We describe an approach, which allows the use of different, local time steps over the variables. The partitioning of the components of the system in different classes of activity is based on the topology of the power system.
NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference of Numerical Analysis and Applied Mathematics | 2007
Valeriu Savcenco
Multirate time stepping is a numerical technique for efficiently solving large‐scale ordinary differential equations (ODEs) with widely different time scales localized over the components. This technique enables one to use large time steps for slowly time‐varying components, and small steps for rapidly varying ones. In this paper we describe a self‐adjusting multirate time stepping strategy, in which the step size for a particular component is determined by its own local temporal variation, instead of using a single step size for the whole system. We primarily consider Rosenbrock methods, suitable for stiff or mildly stiff ODEs.
Applied Numerical Mathematics | 2009
Willem Hundsdorfer; Valeriu Savcenco
Journal of Computational and Applied Mathematics | 2008
Valeriu Savcenco
Journal of Computational and Applied Mathematics | 2009
Valeriu Savcenco
Annals of Pure and Applied Logic | 2007
Willem Hundsdorfer; Anna Mozartova; Valeriu Savcenco
The Astrophysical Journal | 2012
Willem Hundsdorfer; Anna Mozartova; Valeriu Savcenco
Electric Power Systems Research | 2014
Valeriu Savcenco; Bertrand Haut
Nonlinear Analysis-real World Applications | 2014
Kundan Kumar; Maxim Pisarenco; Maria E. Rudnaya; Valeriu Savcenco