Cluster computing-based trajectory sensitivity analysis application to the WECC system

Guanji Hou, Vijay Vittal

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

This paper presents an application of the trajectory sensitivity method to a large realistic power system. A cluster computing platform is utilized to solve the trajectory sensitivity equations in parallel when multiple sensitivity element calculations are performed. The results show great efficiency improvement with this platform. Another important issue addressed is the error associated with the perturbation size for linear trajectory approximations. When the perturbation size varies, it is critical to ascertain the accuracy of the trajectory approximation. A technique to characterize the error and quantify it is developed. A transient stability constrained preventive control application of generation rescheduling involving trajectory sensitivity analysis, parallel computing, and accuracy evaluation is presented for a large WECC test system. This demonstration highlights the efficacy of the parallel computing capability and accuracy of the calculated preventive control.

Original languageEnglish (US)
Article number5960007
Pages (from-to)502-509
Number of pages8
JournalIEEE Transactions on Power Systems
Volume27
Issue number1
DOIs
StatePublished - Feb 2012

Fingerprint

Cluster computing
Sensitivity analysis
Trajectories
Parallel processing systems
Demonstrations

Keywords

  • Generation rescheduling
  • parallel computing
  • preventive control
  • trajectory sensitivity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Cluster computing-based trajectory sensitivity analysis application to the WECC system. / Hou, Guanji; Vittal, Vijay.

In: IEEE Transactions on Power Systems, Vol. 27, No. 1, 5960007, 02.2012, p. 502-509.

Research output: Contribution to journalArticle

@article{43e5757ce6a94ad481b1861fe8b9e1ef,
title = "Cluster computing-based trajectory sensitivity analysis application to the WECC system",
abstract = "This paper presents an application of the trajectory sensitivity method to a large realistic power system. A cluster computing platform is utilized to solve the trajectory sensitivity equations in parallel when multiple sensitivity element calculations are performed. The results show great efficiency improvement with this platform. Another important issue addressed is the error associated with the perturbation size for linear trajectory approximations. When the perturbation size varies, it is critical to ascertain the accuracy of the trajectory approximation. A technique to characterize the error and quantify it is developed. A transient stability constrained preventive control application of generation rescheduling involving trajectory sensitivity analysis, parallel computing, and accuracy evaluation is presented for a large WECC test system. This demonstration highlights the efficacy of the parallel computing capability and accuracy of the calculated preventive control.",
keywords = "Generation rescheduling, parallel computing, preventive control, trajectory sensitivity",
author = "Guanji Hou and Vijay Vittal",
year = "2012",
month = "2",
doi = "10.1109/TPWRS.2011.2160373",
language = "English (US)",
volume = "27",
pages = "502--509",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Cluster computing-based trajectory sensitivity analysis application to the WECC system

AU - Hou, Guanji

AU - Vittal, Vijay

PY - 2012/2

Y1 - 2012/2

N2 - This paper presents an application of the trajectory sensitivity method to a large realistic power system. A cluster computing platform is utilized to solve the trajectory sensitivity equations in parallel when multiple sensitivity element calculations are performed. The results show great efficiency improvement with this platform. Another important issue addressed is the error associated with the perturbation size for linear trajectory approximations. When the perturbation size varies, it is critical to ascertain the accuracy of the trajectory approximation. A technique to characterize the error and quantify it is developed. A transient stability constrained preventive control application of generation rescheduling involving trajectory sensitivity analysis, parallel computing, and accuracy evaluation is presented for a large WECC test system. This demonstration highlights the efficacy of the parallel computing capability and accuracy of the calculated preventive control.

AB - This paper presents an application of the trajectory sensitivity method to a large realistic power system. A cluster computing platform is utilized to solve the trajectory sensitivity equations in parallel when multiple sensitivity element calculations are performed. The results show great efficiency improvement with this platform. Another important issue addressed is the error associated with the perturbation size for linear trajectory approximations. When the perturbation size varies, it is critical to ascertain the accuracy of the trajectory approximation. A technique to characterize the error and quantify it is developed. A transient stability constrained preventive control application of generation rescheduling involving trajectory sensitivity analysis, parallel computing, and accuracy evaluation is presented for a large WECC test system. This demonstration highlights the efficacy of the parallel computing capability and accuracy of the calculated preventive control.

KW - Generation rescheduling

KW - parallel computing

KW - preventive control

KW - trajectory sensitivity

UR - http://www.scopus.com/inward/record.url?scp=84856297436&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84856297436&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2011.2160373

DO - 10.1109/TPWRS.2011.2160373

M3 - Article

AN - SCOPUS:84856297436

VL - 27

SP - 502

EP - 509

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 1

M1 - 5960007

ER -