Title :
Computationally efficient solvers for power system applications
Author :
Grant, L.L. ; Crow, M.L. ; Cheng, M.X.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
If power system time-domain simulations could run in real-time, then system operators would have situational awareness to implement on-line control and avoid cascading failures, significantly improving power system reliability. Many power system assessment tools, such as power flow and short circuit analysis, require very large sparse matrix computations. As power systems continue to grow, there is a greater computational complexity involved in solving these large linear systems within reasonable time. We are expanding the current work in fast linear solvers to develop power system specific methods that show potential for accurate solutions in nearly-linear run times.
Keywords :
load flow; network analysis; power system control; power system faults; power system reliability; sparse matrices; on-line control; power flow; power system applications solvers; power system reliability; power system time-domain simulations; short circuit analysis; sparse matrix computations; Chebyshev approximation; Convergence; Iterative methods; Linear systems; Power systems; Sparse matrices; Matrix preconditioning; graph sparsification; linear system solution; power system simulation;
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2015 IEEE
Conference_Location :
Champaign, IL
DOI :
10.1109/PECI.2015.7064885