New Multi-objective Decision Support Methodology to Solve Problems of Reconfiguration in the Electric Distribution Systems

  • Sérgio F. Santos
  • Nikolaos G. Paterakis
  • João P. S. CatalãoEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 450)


The distribution systems (DS) reconfiguration problem is formulated in this paper as a multi-objective mixed-integer linear programming (MILP) multi-period problem, enforcing that the obtained topology is radial in order to exploit several advantages those configurations offer. The effects of distributed generation (DG) and energy storage systems (ESS) are also investigated. To address the multi-objective problem, an improved implementation of the ε-constraint method (AUGMECON-2) is used, providing an adequate representation of the Pareto set. The objective functions considered stand for the minimization of active power losses and the minimization of switching operations. The proposed methodology is tested using a real system based on the S. Miguel Island, Azores, Portugal. The potential uses of cloud-based engineering systems, both in terms of exploiting the enhanced decentralized computational opportunities they offer and of utilizing them in order to achieve communication and coordination between several entities that are engaged in DS, are thoroughly discussed.


Distribution system reconfiguration ε-constraint method Switching cost Multi-objective optimization 


  1. 1.
    Thakur, T., Jaswanti, T.: Study and Characterization of Power Distribution Network Reconfiguration. In: IEEE/PES T&D Conference and Exposition, Latin America, pp. 1–6 (2006)Google Scholar
  2. 2.
    Jabr, R., Singh, R., Pal, B.C.: Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming. IEEE Trans. Power Systems 27, 1106–1115 (2012)CrossRefGoogle Scholar
  3. 3.
    Zidan, A., Shaaban, M.F., El-Saadany, E.F.: Long-term multi-objective distribution network planning by DG allocation and feeders’ reconfiguration. Electric Power Syst. Res. 105, 95–102 (2013)CrossRefGoogle Scholar
  4. 4.
    Amanulla, B., Chakrabarti, S., Singh, S.N.: Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss. IEEE Trans. Power Delivery 27, 918–926 (2012)CrossRefGoogle Scholar
  5. 5.
    Wu, Y., Lee, C., Liu, L., Tsai, S.: Study of Reconfiguration for the Distribution System With Distributed Generators. IEEE Trans. Power Delivery 25, 1678–1684 (2010)CrossRefGoogle Scholar
  6. 6.
    Malekpour, A.R., Niknam, T., Pahwa, A., Kabousi Fard, A.: Multi-Objective Stochastic Distribution Feeder Reconfiguration in Systems With Wind Power Generators and Fuel Cells Using the Point Estimate Method. IEEE Trans. Power Systems 28, 1483–1492 (2013)CrossRefGoogle Scholar
  7. 7.
    Franco, J.F., Rider, M.J., Lavorato, M., Romero, R.: A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation. Electric Power Systems Research 97, 51–60 (2013)CrossRefGoogle Scholar
  8. 8.
    Mavrotas, G.: Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems. Applied Mathematics and Computation 213, 455–465 (2009)CrossRefzbMATHMathSciNetGoogle Scholar
  9. 9.
    Mavrotas, G., Florios, K.: An improved version of the augment ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation 219, 9652–9669 (2013)CrossRefzbMATHMathSciNetGoogle Scholar
  10. 10.
    Cohon, J.L.: Multiobjective Programming and Planning. Academic Press, New York (1978)zbMATHGoogle Scholar
  11. 11.
    EDA - Electricidade dos Açores, “Caracterização das redes de transporte e distribuição da Região Autónoma dos Açores,” S. Miguel (2014)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Sérgio F. Santos
    • 1
  • Nikolaos G. Paterakis
    • 1
  • João P. S. Catalão
    • 1
    • 2
    • 3
    Email author
  1. 1.University of Beira InteriorCovilhãPortugal
  2. 2.INESC-IDLisbonPortugal
  3. 3.Instituto Superior TécnicoLisbonPortugal

Personalised recommendations