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)


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.


Load Balance Distribution Network Switching Option Switching Operation Radial Structure 
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  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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