Skip to main content

Substation Topology Analysis Based on Improved Tracking Algorithm

  • Conference paper
  • First Online:
Unifying Electrical Engineering and Electronics Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 238))

  • 177 Accesses

Abstract

The substation network topology analysis is an important part of power system network topology, which occupies a large number of total time of topology analysis. Improving the topology analysis efficiency is the key to ensure the rapidity of the power system network topology. The chapter first summarizes the main methods applied to the power system network topology analysis. Second, it proposes an improved tracking algorithm based on the analysis of two shortages in the existing tracking algorithm. Finally, the simulation results validate that the proposed algorithm for substation network topology analysis is easy to be practiced fleetly. There are only three steps for calculation when the network nodes are connected, which improves the speed of the network state estimation tremendously.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Xiong-ping Yang (2009) Study on network topology analysis and operation modes combination in power system. Doctoral Dissertation of Huazhong University of science and technology, Wuhan

    Google Scholar 

  2. Er-keng Yu (1985) Power system state estimation. Hydraulic and Electric Press, Beijing

    Google Scholar 

  3. Wei Zhu, Da-qing Mu (2001) Two methods of power network topology analysis. J Changsha Univ Electr Power (Nat Sci) 16(2):23–25

    Google Scholar 

  4. Bose A, Clements K (1987) A real-time modeling of power networks. Proc IEEE 75(12):1607–1622

    Article  Google Scholar 

  5. Wen-chuan Wu, Bo-ming Zhang (2002) A graphic database based network topology and its application. Power Syst Technol 26(2):14–18

    Google Scholar 

  6. Hua Wan, Nai-hu Li, Heng Chen et al (1995) A new topology processor based on width-priority. Proc CSU-EPSA 7(2):17–23

    Google Scholar 

  7. Wen-dong Zhu, Guang-yi Liu, Er-keng Yu et al. (1996) The fast calculation method of local power network topology. Power Syst Technol 20(3):30–33

    Google Scholar 

  8. Wang Xiang-zhong, Li Xiao-lan (2001) Topology identification of power network based on incidence matrix. Power Syst Technol 25(2):10–12

    Google Scholar 

  9. Yu Yu, Cheng Yunshan, Wang Dawei (1999) The study of the testing method of electric network connection. J Electr Power 14(3):183–188

    Google Scholar 

  10. Goderya F, Metwally AA, Mansour O (1980) Fast detection and identification of islands in power networks. Power App Syst 99(1):217–221

    Article  Google Scholar 

  11. Paris M, Beso A (1988) A topology processor that tracks network modifications over time. IEEE Trans Power Syst 3(3):992–998

    Article  Google Scholar 

  12. Yan Cui (2008) Matrix coloring method and its application in network topology analysis of power system. Power Syst Protect Contr 36(16):52–56

    Google Scholar 

  13. Mei Nian, Shi Dong-yuan, Duan Xian-zhong (2008) A novel method for fast power network topology formation and partial revision based on graph theory. Power Syst Technol 32(13):35–39

    Google Scholar 

  14. Song Shao-qun, Zhu Yong-li, Yu Hong (2005) A power network topology tracking method based on graph theory and artificial intelligence search technique. Power Syst Technol 29(19):45–49

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wang Zengping .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this paper

Cite this paper

Jianlei, S., Xuan, Z., Qiang, Z., Jinfang, Z., Zengping, W. (2014). Substation Topology Analysis Based on Improved Tracking Algorithm. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4981-2_9

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4980-5

  • Online ISBN: 978-1-4614-4981-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics