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Power Distribution Network Planning Application Based on Multi-Objective Binary Particle Swarm Optimization Algorithm

  • José Roberto Bezerra
  • Giovanni Cordeiro Barroso
  • Ruth Pastôra Saraiva Leão
  • Raimundo Furtado
  • Eudes Barbosa de Medeiros
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

Power distribution networks are the most susceptible sector of the whole electric grid in terms of reliability. Failures along the lines cause the disconnection of a great number of customers what have an immediate impact on quality and security indices. Innovations capable to mitigate impacts or improve reliability are ever pursued by the electric utilities. In view of that, the planning of the modern distribution networks must consider the installation of switches along the network as an important procedure to isolate failures reducing the impact and the number of customers not supplied. However, the complexity and the dimension of the current distribution networks, makes the task of proper allocation of switches strongly dependent on the expertise of engineers. This paper proposes an application based on a Multi-Objective Particle Swarm Optimization algorithm that determines the suitable placement and a feasible number of switches on the power distribution networks in order to minimize the number of customers affected by faults. Detailed information about the algorithm and its application in a test distribution system is presented. The effectiveness of the algorithm is presented in a case study applied to the IEEE 123-Node Test Feeder.

Keywords

Particle Swarm Optimization Distribution Network Particle Swarm Optimization Algorithm Circuit Breaker Power Distribution Network 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • José Roberto Bezerra
    • 1
  • Giovanni Cordeiro Barroso
    • 2
  • Ruth Pastôra Saraiva Leão
    • 2
  • Raimundo Furtado
    • 2
  • Eudes Barbosa de Medeiros
    • 3
  1. 1.Instituto Federal do CearáBrazil
  2. 2.Universidade Federal do CearáBrazil
  3. 3.Companhia Energética do CearáBrazil

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