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

  • Sang-Yule Choi
  • Jae-Sang Cha
  • Myong-Chul Shin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

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.

Keywords

Load Balance Distribution Network Switching Option Switching Operation Radial Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sang-Yule Choi
    • 1
  • Jae-Sang Cha
    • 2
  • Myong-Chul Shin
    • 3
  1. 1.Dept. of Electronic Engineering, Induk Institute of TechnologySeoulKorea
  2. 2.Dept.of Media TechnologySeoul National University of TechnologySeoulSouth Korea
  3. 3.School of Electrical and Computer EngineeringSungkyunkwan UniversitySuwonKorea

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