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Optimization of IEDs Position in MV Smart Grids through Integer Linear Programming

Author

Listed:
  • Francesco Bonavolontà

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Vincenzo Caragallo

    (Operation and Maintenance–Network Analysis and Maintenance, E-Distribuzione S.p.A., 80142 Naples, Italy
    These authors contributed equally to this work.)

  • Alessandro Fatica

    (Operation and Maintenance–Network Analysis and Maintenance, E-Distribuzione S.p.A., 80142 Naples, Italy
    These authors contributed equally to this work.)

  • Annalisa Liccardo

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Adriano Masone

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Claudio Sterle

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
    These authors contributed equally to this work.)

Abstract

In the paper, an analytical method for determining the optimal positioning of intelligent electronic devices in medium voltage grids is proposed. Intelligent electronic devices are automated devices able to communicate one with each other and command the circuit breaker in order to localize and isolate a line fault as fast as possible. However, the number of intelligent electronic devices to install has to be limited, due to the relevant installation costs and the reduction in the transmission bandwidth caused by the increased number of exchanged messages. So, the electrical distributor has to carefully detect the nodes of the grid where the intelligent electronic devices have to be installed. The authors propose a method based on integer linear programming, which, given the number of intelligent electronic devices to install, finds their optimal position, i.e., the one that minimizes the penalties associated with the power down experienced by customers. In order to highlight the offered advantages in terms of computational effort, the proposed approach has been assessed with a real medium voltage grid.

Suggested Citation

  • Francesco Bonavolontà & Vincenzo Caragallo & Alessandro Fatica & Annalisa Liccardo & Adriano Masone & Claudio Sterle, 2021. "Optimization of IEDs Position in MV Smart Grids through Integer Linear Programming," Energies, MDPI, vol. 14(11), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3346-:d:570294
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    References listed on IDEAS

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    1. Mladenovic, Nenad & Brimberg, Jack & Hansen, Pierre & Moreno-Perez, Jose A., 2007. "The p-median problem: A survey of metaheuristic approaches," European Journal of Operational Research, Elsevier, vol. 179(3), pages 927-939, June.
    2. Leopoldo Angrisani & Francesco Bonavolontà & Annalisa Liccardo & Rosario Schiano Lo Moriello, 2018. "On the Use of LoRa Technology for Logic Selectivity in MV Distribution Networks," Energies, MDPI, vol. 11(11), pages 1-34, November.
    3. Cristian Cepeda & Cesar Orozco-Henao & Winston Percybrooks & Juan Diego Pulgarín-Rivera & Oscar Danilo Montoya & Walter Gil-González & Juan Carlos Vélez, 2020. "Intelligent Fault Detection System for Microgrids," Energies, MDPI, vol. 13(5), pages 1-21, March.
    4. Soon-Ryul Nam & Woong-Hie Ko & Sopheap Key & Sang-Hee Kang & Nam-Ho Lee, 2021. "IEC 61850-Based Centralized Protection against Single Line-To-Ground Faults in Ungrounded Distribution Systems," Energies, MDPI, vol. 14(3), pages 1-15, January.
    5. Davide Della Giustina & Amelia Alvarez de Sotomayor & Alessio Dedè & Francisco Ramos, 2020. "A Model-Based Design of Distributed Automation Systems for the Smart Grid: Implementation and Validation," Energies, MDPI, vol. 13(14), pages 1-19, July.
    6. Barbaros C. Tansel & Richard L. Francis & Timothy J. Lowe, 1983. "State of the Art---Location on Networks: A Survey. Part I: The p-Center and p-Median Problems," Management Science, INFORMS, vol. 29(4), pages 482-497, April.
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    Cited by:

    1. Annalisa Liccardo & Francesco Bonavolontà & Ignazio Romano & Rosario Schiano Lo Moriello, 2021. "Optimization and Performance Assessment of a Logic Selectivity Solution Based on LoRa Communication," Energies, MDPI, vol. 14(21), pages 1-17, November.

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