Computationally Efficient Solvers for Power System Applications

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.

Meeting Name

2015 IEEE Power and Energy Conference at Illinois, PECI (2015: Feb. 20-21, Champaign, IL)

Department(s)

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)
Missouri University of Science and Technology. Chancellor's Fellowship

Comments

The authors acknowledge the financial support of the National Science Foundation and the Chancellor's Fellowship of Missouri S&T.

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)

978-1-4799-7949-3

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Feb 2015

Link to Full Text

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