Skip to main content
SpringerLink
Log in
Book cover

International Conference on Genetic and Evolutionary Computing

ICGEC 2018: Genetic and Evolutionary Computing pp 411–418Cite as

Research on the Method of Solving Danger Level of Cascading Trips in Power System

  • Conference paper
  • First Online:

  • 778 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

Abstract

A new method for calculating danger distance of cascading trips is proposed in this paper. The method is based on enhanced particle swarm optimization. An example on IEEE 39-system proves the effectiveness of the method.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Guo, L.Q., Liang, C.: Monotonicity properties and spectral characterization of power redistribution in cascading failure. In: Fifty-Fifth Annual Allerton Conference Allerton House, UIUC, lllinois, pp. 918–925 (2017)

    Google Scholar 

  2. Wang, P., Wang, Y.: Who is the One to Take Responsibility for Blackout in Taiwan, Relations Across Taiwan Straits, vol. 36(16) (2017)

    Google Scholar 

  3. Lin, W., Tang, Y., Sun, H., et al.: Blackout in Brazil power grid on February 4 2011 and inspirations for stable operation of power grid. Autom. Electr. Power Syst. 35(9), 1–5 (2011)

    Google Scholar 

  4. Veremyev, A., Sorokin, A., Boginski, V., et al.: Minimum vertex cover problem for coupled interdependent networks with cascading failures. Eur. J. Oper. Res. 232(3), 499–511 (2014)

    Article  MathSciNet  Google Scholar 

  5. Rosato, V., Issacharoff, L., Tiriticc, F., et al.: Modelling interdependent infrastructures using interacting dynamical models. Int. J. Critical Infrastruct. 4(1–2), 63–79 (2008)

    Article  Google Scholar 

  6. Hu, P., Mei, T., Fan, W.L.: Cascading failure forecast of complex power grids: a review. Sci. Sinica 47(4), 355–363 (2017)

    Google Scholar 

  7. Guo, H.: Reactive Power Optimization of Power System with Wind Farm based on Quantum-Particle Swarm Optimization. Nanjing University of Posts and Telecommunications

    Google Scholar 

  8. Que, S.M.: Reactive Power Optimization of Power System Based on Improved Particle Swarm Optimization Algorithm. Nanjing University of Posts and Telecommunications

    Google Scholar 

  9. Wu, H.H.: Study of The Unit Commitment Problem Based on Improved Particle Swarm Optimization. Hunan University

    Google Scholar 

  10. Deng, H.Q., Yang, B.L.: A New Method of Calculating Danger Level of Cascading Failure Occurring in Power System

    Google Scholar 

  11. Deng, H.Q.: Research on the safety margin of power network considering cascading tripping. J. Fujian Univ. Technol. 14(3), 255–261 (2016)

    MathSciNet  Google Scholar 

  12. Huang, P., Zhang, Y., Zeng, H.: Improved particle swarm optimization solving economic dispatch of electric power. J. Huazhong Univ. Sci. Tech. 38(1), 121–124(2010)

    Google Scholar 

Download references

Acknowledgements

This research was financially supported by Fujian Provincial Natural Science Foundation of China under the grant 2015J01630, Doctoral Research Foundation of Fujian University of Technology under the grant GY-Z13104, and Scientific Research and Development Foundation of Fujian University of Technology under the grant GY-Z17149.

Author information

Authors and Affiliations

  1. Fujian University of Technology, Fuzhou, 350118, China

    Hui-Qiong Deng, Bo-Lan Yang & Chao-Gang Li

Authors
  1. Hui-Qiong Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bo-Lan Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chao-Gang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bo-Lan Yang .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Deng, HQ., Yang, BL., Li, CG. (2019). Research on the Method of Solving Danger Level of Cascading Trips in Power System. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_43

Download citation

Publish with us

Policies and ethics

Search

Navigation