Computationally efficient solvers for power system applications

L. L. Grant; M. L. Crow; M. X. Cheng

doi:10.1109/PECI.2015.7064885

Computationally efficient solvers for power system applications

L. L. Grant, M. L. Crow, M. X. Cheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	2015 IEEE Power and Energy Conference at Illinois, PECI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479979493
DOIs	https://doi.org/10.1109/PECI.2015.7064885
State	Published - Mar 20 2015
Externally published	Yes
Event	2015 IEEE Power and Energy Conference at Illinois, PECI 2015 - Champaign, United States Duration: Feb 20 2015 → Feb 21 2015

Publication series

Name	2015 IEEE Power and Energy Conference at Illinois, PECI 2015

Other

Other	2015 IEEE Power and Energy Conference at Illinois, PECI 2015
Country/Territory	United States
City	Champaign
Period	2/20/15 → 2/21/15

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Fuel Technology

Keywords

Matrix preconditioning
graph sparsification
linear system solution
power system simulation

Access to Document

10.1109/PECI.2015.7064885

Cite this

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title = "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.",

keywords = "Matrix preconditioning, graph sparsification, linear system solution, power system simulation",

author = "Grant, {L. L.} and Crow, {M. L.} and Cheng, {M. X.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE Power and Energy Conference at Illinois, PECI 2015 ; Conference date: 20-02-2015 Through 21-02-2015",

year = "2015",

month = mar,

day = "20",

doi = "10.1109/PECI.2015.7064885",

language = "English (US)",

series = "2015 IEEE Power and Energy Conference at Illinois, PECI 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Power and Energy Conference at Illinois, PECI 2015",

address = "United States",

}

Grant, LL, Crow, ML & Cheng, MX 2015, Computationally efficient solvers for power system applications. in 2015 IEEE Power and Energy Conference at Illinois, PECI 2015., 7064885, 2015 IEEE Power and Energy Conference at Illinois, PECI 2015, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Power and Energy Conference at Illinois, PECI 2015, Champaign, United States, 2/20/15. https://doi.org/10.1109/PECI.2015.7064885

Computationally efficient solvers for power system applications. / Grant, L. L.; Crow, M. L.; Cheng, M. X.
2015 IEEE Power and Energy Conference at Illinois, PECI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7064885 (2015 IEEE Power and Energy Conference at Illinois, PECI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Computationally efficient solvers for power system applications

AU - Grant, L. L.

AU - Crow, M. L.

AU - Cheng, M. X.

PY - 2015/3/20

Y1 - 2015/3/20

N2 - 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.

AB - 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.

KW - Matrix preconditioning

KW - graph sparsification

KW - linear system solution

KW - power system simulation

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U2 - 10.1109/PECI.2015.7064885

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M3 - Conference contribution

AN - SCOPUS:84928042305

T3 - 2015 IEEE Power and Energy Conference at Illinois, PECI 2015

BT - 2015 IEEE Power and Energy Conference at Illinois, PECI 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE Power and Energy Conference at Illinois, PECI 2015

Y2 - 20 February 2015 through 21 February 2015

ER -

Computationally efficient solvers for power system applications

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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