Computationally Efficient Solvers for Power System Applications
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.
L. L. Grant et al., "Computationally Efficient Solvers for Power System Applications," Proceedings of the 2015 IEEE Power and Energy Conference at Illinois (2015, Champaign, IL), Institute of Electrical and Electronics Engineers (IEEE), Feb 2015.
The definitive version is available at https://doi.org/10.1109/PECI.2015.7064885
2015 IEEE Power and Energy Conference at Illinois, PECI (2015: Feb. 20-21, Champaign, IL)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Missouri University of Science and Technology. Chancellor's Fellowship
Keywords and Phrases
Electric power systems; Linear systems; Time domain analysis; Computationally efficient; Graph sparsification; Large sparse matrix; Linear system solution; Power system applications; Power system simulations; Situational awareness; Time-domain simulations; Matrix algebra; Matrix preconditioning
International Standard Book Number (ISBN)
Article - Conference proceedings
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