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A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

Author

Listed:
  • Silvia Marzal

    (Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Raul González-Medina

    (Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Robert Salas-Puente

    (Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Emilio Figueres

    (Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Gabriel Garcerá

    (Grupo de Sistemas Electrónicos Industriales del Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

Abstract

Peer-to-Peer (P2P) overlay communications networks have emerged as a new paradigm for implementing distributed services in microgrids due to their potential benefits: they are robust, scalable, fault-tolerant, and they can route messages even when a large number of nodes are frequently entering or leaving the network. However, current P2P systems have been mainly developed for file sharing or cycle sharing applications where the processes of searching and managing resources are not optimized. Locality algorithms have gained a lot of attention due to their potential to provide an optimized path to groups with similar interests for routing messages in order to achieve better network performance. This paper develops a fully functional decentralized communication architecture with a new P2P locality algorithm and a specific protocol for monitoring and control of microgrids. Experimental results show that the proposed locality algorithm reduces the number of lookup messages and the lookup delay time. Moreover, the proposed communication architecture heavily depends of the lookup used algorithm as well as the placement of the communication layers within the architecture. Experimental results will show that the proposed techniques meet the network requirements of smart microgrids, even with a large number of nodes on stream.

Suggested Citation

  • Silvia Marzal & Raul González-Medina & Robert Salas-Puente & Emilio Figueres & Gabriel Garcerá, 2017. "A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids," Energies, MDPI, vol. 10(9), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1275-:d:109961
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    References listed on IDEAS

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    Cited by:

    1. Sarmadullah Khan & Rafiullah Khan, 2018. "Elgamal Elliptic Curve Based Secure Communication Architecture for Microgrids," Energies, MDPI, vol. 11(4), pages 1-14, March.
    2. Robert Salas-Puente & Silvia Marzal & Raúl González-Medina & Emilio Figueres & Gabriel Garcera, 2017. "Experimental Study of a Centralized Control Strategy of a DC Microgrid Working in Grid Connected Mode," Energies, MDPI, vol. 10(10), pages 1-25, October.
    3. Fazel Mohammadi & Gholam-Abbas Nazri & Mehrdad Saif, 2019. "A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    4. Olamide Jogunola & Augustine Ikpehai & Kelvin Anoh & Bamidele Adebisi & Mohammad Hammoudeh & Haris Gacanin & Georgina Harris, 2017. "Comparative Analysis of P2P Architectures for Energy Trading and Sharing," Energies, MDPI, vol. 11(1), pages 1-20, December.
    5. Robert Salas-Puente & Silvia Marzal & Raul Gonzalez-Medina & Emilio Figueres & Gabriel Garcera, 2018. "Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization," Energies, MDPI, vol. 11(7), pages 1-31, July.
    6. Zhenxing Li & Yang Gong & Lu Wang & Hong Tan & Prominent Lovet Kativu & Pengfei Wang, 2018. "A Regional Protection Partition Strategy Considering Communication Constraints and Its Implementation Techniques," Energies, MDPI, vol. 11(10), pages 1-15, September.
    7. Aron Kondoro & Imed Ben Dhaou & Hannu Tenhunen & Nerey Mvungi, 2021. "A Low Latency Secure Communication Architecture for Microgrid Control," Energies, MDPI, vol. 14(19), pages 1-26, October.

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