Fast contingency screening and ranking for small signal stability assessment

Chaitanya A. Baone, Naresh Acharya, Santosh Veda, Nilanjan Ray Chaudhuri

Research output: Contribution to journalConference article

8 Citations (Scopus)

Abstract

Utilities today are in need of tools and techniques that will enable them to predict the dynamic stability and reliability of the grid in the real-time. The problem is challenging because of the large number of contingencies that are to be simulated. In this paper a fast method for power system contingency screening and ranking for small signal stability assessment is presented which essentially reduces the number of contingencies for detailed evaluation. The proposed method avoids repeated computation of eigenvalues for all possible post-contingency scenarios. Instead, the eigenvalues corresponding to critical modes for post-outage conditions are estimated based on first-order eigenvalue-sensitivity using just the nominal condition eigenvalues and post outage system state matrices. Since a critical outage condition can produce a large change in the eigenvalues, the first order prediction might not have acceptable accuracy. To overcome this issue, a second-order correction is applied which needs the computation of the eigenvectors corresponding to the eigenvalues of interest. A significant reduction in computation time for evaluation of post contingency eigenvalues using the proposed method is demonstrated. A case study on a 16-machine NETS-NYPS system shows promising results.

Original languageEnglish (US)
Article number6939260
JournalIEEE Power and Energy Society General Meeting
Volume2014-October
Issue numberOctober
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

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Outages
Screening
Eigenvalues and eigenfunctions

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Baone, Chaitanya A. ; Acharya, Naresh ; Veda, Santosh ; Chaudhuri, Nilanjan Ray. / Fast contingency screening and ranking for small signal stability assessment. In: IEEE Power and Energy Society General Meeting. 2014 ; Vol. 2014-October, No. October.
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Fast contingency screening and ranking for small signal stability assessment. / Baone, Chaitanya A.; Acharya, Naresh; Veda, Santosh; Chaudhuri, Nilanjan Ray.

In: IEEE Power and Energy Society General Meeting, Vol. 2014-October, No. October, 6939260, 29.10.2014.

Research output: Contribution to journalConference article

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AU - Acharya, Naresh

AU - Veda, Santosh

AU - Chaudhuri, Nilanjan Ray

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AB - Utilities today are in need of tools and techniques that will enable them to predict the dynamic stability and reliability of the grid in the real-time. The problem is challenging because of the large number of contingencies that are to be simulated. In this paper a fast method for power system contingency screening and ranking for small signal stability assessment is presented which essentially reduces the number of contingencies for detailed evaluation. The proposed method avoids repeated computation of eigenvalues for all possible post-contingency scenarios. Instead, the eigenvalues corresponding to critical modes for post-outage conditions are estimated based on first-order eigenvalue-sensitivity using just the nominal condition eigenvalues and post outage system state matrices. Since a critical outage condition can produce a large change in the eigenvalues, the first order prediction might not have acceptable accuracy. To overcome this issue, a second-order correction is applied which needs the computation of the eigenvectors corresponding to the eigenvalues of interest. A significant reduction in computation time for evaluation of post contingency eigenvalues using the proposed method is demonstrated. A case study on a 16-machine NETS-NYPS system shows promising results.

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