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

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

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

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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.

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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)

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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
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  2. Jae-Sang Cha
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  3. Myong-Chul Shin
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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

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© 2006 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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