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MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration

Author

Listed:
  • Karla B. Freitas

    (University of São Paulo)

  • Márcio S. Arantes

    (Senai Innovation Institute for Embedded Systems)

  • Claudio F. M. Toledo

    (University of São Paulo)

  • Alexandre C. B. Delbem

    (University of São Paulo)

Abstract

The problem of reconfiguration in electrical power distribution systems deals with changes in the network topology using maneuvers switches. This is an optimization problem where one of the goals is to minimize losses following constraints such as faults isolation, load feeders balancing and voltage profile improvement. The present paper solves such problem by introducing a mixed-integer quadratic program (MIQP) model, which aims to return optimal configurations. An improvement heuristic, based on the solution of MIQP sub models, is also introduced. The MIQP model and improvement heuristic are validated over eight benchmark power systems, and the results achieved are compared against those recently reported by literature. A new set of 10 large sized bus-systems is also defined as replication of a benchmark bus system from literature. The computational results show that our MIQP model and heuristic are able to find optimal configurations for those benchmark systems, as well as to provide good quality solution for the large sized bus-systems within a reduced computational time.

Suggested Citation

  • Karla B. Freitas & Márcio S. Arantes & Claudio F. M. Toledo & Alexandre C. B. Delbem, 2020. "MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration," Journal of Heuristics, Springer, vol. 26(1), pages 59-81, February.
    • Handle: RePEc:spr:joheur:v:26:y:2020:i:1:d:10.1007_s10732-019-09421-0
    DOI: 10.1007/s10732-019-09421-0
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    References listed on IDEAS

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    1. H. Faria & M. G. C. Resende & D. Ernst, 2017. "A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem," Journal of Heuristics, Springer, vol. 23(6), pages 533-550, December.
    2. Helber, Stefan & Sahling, Florian, 2010. "A fix-and-optimize approach for the multi-level capacitated lot sizing problem," International Journal of Production Economics, Elsevier, vol. 123(2), pages 247-256, February.
    3. Avella, Pasquale & Villacci, Domenico & Sforza, Antonio, 2005. "A Steiner arborescence model for the feeder reconfiguration in electric distribution networks," European Journal of Operational Research, Elsevier, vol. 164(2), pages 505-509, July.
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    Cited by:

    1. K. Prakash & F. R. Islam & K. A. Mamun & H. R. Pota, 2020. "Configurations of Aromatic Networks for Power Distribution System," Sustainability, MDPI, vol. 12(10), pages 1-17, May.

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