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Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter

Author

Listed:
  • Fabio Napolitano

    (Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy)

  • Juan Diego Rios Penaloza

    (Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy)

  • Fabio Tossani

    (Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy)

  • Alberto Borghetti

    (Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy)

  • Carlo Alberto Nucci

    (Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy)

Abstract

The state estimation of distribution networks has long been considered a challenging task for the reduced availability of real-time measures with respect to the transmission network case. This issue is expected to be improved by the deployment of modern smart meters that can be polled at relatively short time intervals. On the other hand, the management of the information coming from many heterogeneous meters still poses major issues. If low-voltage distribution systems are of interest, a three-phase formulation should be employed for the state estimation due to the typical load imbalance. Moreover, smart meter data may not be perfectly synchronized. This paper presents the implementation of a three-phase state estimation algorithm of a real portion of a low-voltage distribution network with distributed generation equipped with smart meters. The paper compares the typical state estimation algorithm that implements the weighted least squares method with an algorithm based on an iterated Kalman filter. The influence of nonsynchronicity of measurements and of delays in communication and processing is analyzed for both approaches.

Suggested Citation

  • Fabio Napolitano & Juan Diego Rios Penaloza & Fabio Tossani & Alberto Borghetti & Carlo Alberto Nucci, 2021. "Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter," Energies, MDPI, vol. 14(21), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7421-:d:674293
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    References listed on IDEAS

    as
    1. Ahmad, Fiaz & Rasool, Akhtar & Ozsoy, Emre & Sekar, Raja & Sabanovic, Asif & Elitaş, Meltem, 2018. "Distribution system state estimation-A step towards smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2659-2671.
    2. Karthikeyan Nainar & Florin Iov, 2020. "Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids," Energies, MDPI, vol. 13(20), pages 1-18, October.
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