iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://unpaywall.org/10.1007/11893011_112
Artificial Intelligent Application to Service Restoration Considering Load Balancing in Distribution Networks | SpringerLink
Skip to main content
Springer Nature Link
Log in

Artificial Intelligent Application to Service Restoration Considering Load Balancing in Distribution Networks

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

  • 1578 Accesses

Abstract

Service restoration is an emergency control in distribution constrol centers to restore out-of-service area as soon as possible when a fault occurs in distribution networks. therefore, it requires fast computation time and high quality solutions for load balancing. In this paper. a load balance index and heuristic guided best-first search are proposed for these problem. The proposed algorithm consists of two parts. One is to set up a decision tree to represent the various switching operations available. Another is to identify the most effective the set of switches using proposed search technique and a feeder load balance index. Test results on the KEPCO’s 108bus distribution system show that the performance is efficient and robust.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Taylor, T., Lubkeman, D.: Implementation of heuristic search strategies for distribution feeder reconfiguration. IEEE Trans. on Power Delivery 5(1), 239–246 (1990)

    Article  Google Scholar 

  2. Wu, J.S., Tomsovic, K.L., Chen, C.S.: A heuristic search approach to feeder switching operations for overload, fault, unbalanced flow and maintenance. IEEE Trans. on Power Delivery 6(4), 1579–1585 (1991)

    Article  Google Scholar 

  3. Baran, M.E., Wu, F.F.: Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans. on Power Delivery PWRD-4, 1401–1407 (1989)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Electronic Engineering, Induk Institute of Technology, San 76 Wolgye-dong, Nowon-gu, Seoul, Korea

    Sang-Yule Choi

  2. Dept.of Media Technology, Seoul National University of Technology, Seoul, South Korea

    Jae-Sang Cha

  3. School of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 440-746, Korea

    Myong-Chul Shin

Authors
  1. Sang-Yule Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jae-Sang Cha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Myong-Chul Shin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Choi, SY., Cha, JS., Shin, MC. (2006). Artificial Intelligent Application to Service Restoration Considering Load Balancing in Distribution Networks. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_112

Download citation

  • DOI: https://doi.org/10.1007/11893011_112

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation