Distribution Network Fault Location Based on Improved Binary Particle Swarm Optimization

  • Fantao MengEmail author
  • Shasha Zhao
  • Zhen Li
  • Shiguang Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)


Due to the local optimum and the inaccurate fault location of distribution network when DG (distributed generation) access using the traditional BPSO (binary particle swarm optimization), an IBPSO (improved binary particle swarm optimization) to locate the fault places is proposed. Firstly, the locating model of distribution network fault is established, which mainly includes the improved coding mode, the improved switching function and the improved fitness function. Then, the BPSO is improved, in which the inertial weight in the algorithm has the adaptive ability, so that the particle can maintain better. At last, this algorithm is used to simulate and locate the fault of distribution network with DG. The results prove that the algorithm and the improved function can accurately locate fault places when the single point fault and multi point fault in the distribution network with DG.


Distribution network Fault location Binary particle swarm optimization Adaptive weight 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Fantao Meng
    • 1
    Email author
  • Shasha Zhao
    • 1
  • Zhen Li
    • 2
  • Shiguang Li
    • 1
  1. 1.College of Electrical Engineering and AutomationShandong University of Science and TechnologyQingdaoChina
  2. 2.Qingdao Civil-Military Integration CollegeQingdaoChina

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