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Evaluation of Model Order Reduction Algorithms for Unstable High-Order System Applied to Large Power System

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Advances in Engineering Research and Application (ICERA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 602))

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Abstract

This paper presents and evaluates the method of order of large-scale unstable power systems using Modal truncation (MT), Balanced truncation (BT), Positive-real balanced truncation (PRBT), Balanced stochastic truncation (BST) and Linear-quadratic Gaussian balanced truncation (LQGBT). The results show that the LQGBT and BT algorithm has the smallest order reduction error. The MT method has the largest order of decreasing error. The BST algorithm gives the best time domain response. The PRBT method preserves the passivity of the original system. The simulation results show the advantages and disadvantages and the application range of step reduction methods.

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Acknowledgments

This research is funded by Thai Nguyen University of Technology (TNUT).

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Authors and Affiliations

  1. Thai Nguyen University of Information and Communication Technology, Thainguyen, Vietnam

    Thanh-Tung Nguyen

  2. Thai Nguyen University of Technology, Thainguyen, Vietnam

    Huy-Du Dao, Ngoc-Kien Vu & Thanh-Binh Nguyen Thi

  3. College of Technology and Trace, Thainguyen, Vietnam

    Van-Ta Hoang

Authors
  1. Thanh-Tung Nguyen
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  2. Huy-Du Dao
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  3. Ngoc-Kien Vu
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  4. Van-Ta Hoang
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  5. Thanh-Binh Nguyen Thi
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Corresponding author

Correspondence to Huy-Du Dao .

Editor information

Editors and Affiliations

  1. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  2. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  4. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

  5. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

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Nguyen, TT., Dao, HD., Vu, NK., Hoang, VT., Thi, TB.N. (2023). Evaluation of Model Order Reduction Algorithms for Unstable High-Order System Applied to Large Power System. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_58

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  • DOI: https://doi.org/10.1007/978-3-031-22200-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22199-6

  • Online ISBN: 978-3-031-22200-9

  • eBook Packages: EngineeringEngineering (R0)

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