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On-Line Transient Stability Screening of a Practical 14,500-Bus Power System: Methodology and Evaluations

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High Performance Computing in Power and Energy Systems

Part of the book series: Power Systems ((POWSYS))

Abstract

This paper describes an effective methodology for on-line screening and ranking of a large set of contingencies. An evaluation study of the on-line methodology in a real-time environment as a transient stability analysis (TSA) screening tool is presented. Requirements for an on-line screening and ranking tools are presented. The methodology of BCU classifiers implemented in the TEPCO-BCU package was evaluated on the PJM system as a fast screening tool to improve on-line performance of the PJM TSA system. This evaluation study is the largest in terms of system size, 14,500-bus, 3000 generators, for a practical application of direct methods for on-line TSA. The total number of contingencies involved in this evaluation is about 5.3 million. The evaluation results were very promising and confirm the practicality of the methodology based on direct methods, in particular the BCU method for on-line TSA of large-scale systems with a large set of contingencies.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

    Hsiao-Dong Chiang

  2. Bigwood Systems, Inc., Ithaca, New York, USA

    Hua Li

  3. PJM Interconnection, LLC, Norristown, Philadelphia, USA

    Jianzhong Tong

  4. Tokyo Electric Power Company, R&D Center, Yokohama, Tokyo, Japan

    Yasuyuki Tada

Authors
  1. Hsiao-Dong Chiang
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  2. Hua Li
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  3. Jianzhong Tong
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  4. Yasuyuki Tada
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Corresponding author

Correspondence to Hsiao-Dong Chiang .

Editor information

Editors and Affiliations

  1. , Department of Electrical and Computer En, Iowa State University, Post-Doctoral Res, Coover Hall 1113, Ames, 50011, USA

    Siddhartha Kumar Khaitan

  2. , Business Analytics & Mathematical Scienc, IBM T.J. Watson Research Center, Kitchawan Road / Route 134 1101, Yorktown Heights, 10598, USA

    Anshul Gupta

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Chiang, HD., Li, H., Tong, J., Tada, Y. (2013). On-Line Transient Stability Screening of a Practical 14,500-Bus Power System: Methodology and Evaluations. In: Khaitan, S., Gupta, A. (eds) High Performance Computing in Power and Energy Systems. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32683-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-32683-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32682-0

  • Online ISBN: 978-3-642-32683-7

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