Skip to main content
SpringerLink
Log in

A State Estimate Algorithm Based on Current Measurement for Offshore Oil Grid

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

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

  • 166 Accesses

Abstract

State estimate is to use the redundancy of the real-time measurement system to improve data accuracy, automatically exclude the error message caused by random interference, and estimate or forecast the system state. It is also one of the core functions of the energy management systems. During the implementation of the energy management systems in the offshore oilfields power grid, we found that the number of measurements is not enough. The measurement is inaccurate and also there is too much current measurement in the protective relaying equipment. So this chapter introduces the node injection current as state vector, meanwhile simplifies the measurement equation of the system and enables the constraints linearization, which improves the convergence speed of the program. At the same time, the current in the protective relaying equipment is introduced into the measurements to ensure the system observability. At last, the examples demonstrate this program is also reliable while the system is in the split run.

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

Access this chapter

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 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. Schweppe FC, Wildes J (1970) Power system static-state estimation-I. IEEE Trans Power Appl Syst 89(1):120–125

    Article  Google Scholar 

  2. Bin Wang, Wilsun Xu, Zhencun Pan (2005) Voltage sag state estimation for power distribution systems. IEEE Trans Power Syst 20(2):806–812

    Google Scholar 

  3. Liao H (2006) Power system harmonic state estimation via sparsity maximization. In: Proceedings of IEEE/Power Engineering Society General Meeting

    Google Scholar 

  4. Julier SJ, Uhlmann JK (2004) Unscented filtering and nonlinear estimation. Proc IEEE 92:401–422

    Article  Google Scholar 

  5. Heydt GT (1989) Identification of harmonic sources by a state estimation technique. IEEE Trans Power Deliv 4:569

    Article  Google Scholar 

  6. Meliopoulos PS, Zhang F, Zelingher S (1994) Power system harmonic state estimation. IEEE Trans Power Deliv 9:1701

    Article  Google Scholar 

  7. Du ZP, Arrillaga J, Watson N (1996) Continuous harmonic state estimation of power systems. Proc IEEE Generation Transm Distrib 143:329

    Article  Google Scholar 

  8. Yu KKC, Watson NR, Arrillaga J (2005) An adaptive Kalman filter for dynamic harmonic state estimation and harmonic injection tracking. IEEE Trans Power Deliv 20:1577

    Article  Google Scholar 

  9. Ma H, Girgis AA (1996) Identification and tracking of harmonic sources in a power system using a Kalman filter. IEEE Trans Power Deliv 11:1659

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, P.R. China

    Yingyun Sun, Haotian Li, Xin Wei & Sun Xiao

  2. State Key Lab of Power Systems, Tsinghua University, Beijing, 102206, P.R. China

    Yingyun Sun & Xiaorong Xie

Authors
  1. Yingyun Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haotian Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xin Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sun Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaorong Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Haotian Li .

Editor information

Editors and Affiliations

  1. Dept. Information Systems, California State University, Los Angeles College of Business & Economics, Los Angeles, California, USA

    Song Xing

  2. Electronics and Information Technology S, Nanjing University of Information and Sc, Nanjing, Jiangsu, China, People's Republic

    Suting Chen

  3. Sunnyvale, California, USA

    Zhanming Wei

  4. Electronics and Information Technology S, Nanjing University of Information and Sc, Nanjing, Jiangsu, China, People's Republic

    Jingming Xia

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this paper

Cite this paper

Sun, Y., Li, H., Wei, X., Xiao, S., Xie, X. (2014). A State Estimate Algorithm Based on Current Measurement for Offshore Oil Grid. 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_37

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4981-2_37

  • 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

Search

Navigation