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Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks

Author

Listed:
  • Alessio Meloni

    (DIEE - Department of Electrical and Electronic Engineering, University of Cagliari, Piazza D’Armi, 09123 Cagliari, Italy)

  • Paolo Attilio Pegoraro

    (DIEE - Department of Electrical and Electronic Engineering, University of Cagliari, Piazza D’Armi, 09123 Cagliari, Italy)

  • Luigi Atzori

    (DIEE - Department of Electrical and Electronic Engineering, University of Cagliari, Piazza D’Armi, 09123 Cagliari, Italy)

  • Sara Sulis

    (DIEE - Department of Electrical and Electronic Engineering, University of Cagliari, Piazza D’Armi, 09123 Cagliari, Italy)

Abstract

Smart grid (SG) will be one of the major application domains that will present severe pressures on future communication networks due to the expected huge number of devices that will be connected to it and that will impose stringent quality transmission requirements. To address this challenge, there is a need for a joint management of both monitoring and communication systems, so as to achieve a flexible and adaptive management of the SG services. This is the issue addressed in this paper, which provides the following major contributions. We define a new strategy to optimize the accuracy of the state estimation (SE) of the electric grid based on available network bandwidth resources and the sensing intelligent electronic devices (IEDs) installed in the field. In particular, we focus on phasor measurement units (PMUs) as measurement devices. We propose the use of the software defined networks (SDN) technologies to manage the available network bandwidth, which is then assigned by the controller to the forwarding devices to allow for the flowing of the data streams generated by the PMUs, by considering an optimization routine to maximize the accuracy of the resulting SE. Additionally, the use of SDN allows for adding and removing PMUs from the monitoring architecture without any manual intervention. We also provide the details of our implementation of the SDN solution, which is used to make simulations with an IEEE 14-bus test network in order to show performance in terms of bandwidth management and estimation accuracy.

Suggested Citation

  • Alessio Meloni & Paolo Attilio Pegoraro & Luigi Atzori & Sara Sulis, 2017. "Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks," Energies, MDPI, vol. 10(7), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:858-:d:102814
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    References listed on IDEAS

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    1. Luca Ardito & Giuseppe Procaccianti & Giuseppe Menga & Maurizio Morisio, 2013. "Smart Grid Technologies in Europe: An Overview," Energies, MDPI, vol. 6(1), pages 1-31, January.
    2. In-Jae Shin & Byung-Kwen Song & Doo-Seop Eom, 2017. "International Electronical Committee (IEC) 61850 Mapping with Constrained Application Protocol (CoAP) in Smart Grids Based European Telecommunications Standard Institute Machine-to-Machine (M2M) Envir," Energies, MDPI, vol. 10(3), pages 1-13, March.
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    Cited by:

    1. Emilio Ghiani & Alessandro Serpi & Virginia Pilloni & Giuliana Sias & Marco Simone & Gianluca Marcialis & Giuliano Armano & Paolo Attilio Pegoraro, 2018. "A Multidisciplinary Approach for the Development of Smart Distribution Networks," Energies, MDPI, vol. 11(10), pages 1-29, September.

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