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Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Author

Listed:
  • Thiago Mota Soares

    (Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil)

  • Ubiratan Holanda Bezerra

    (Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil)

  • Maria Emília de Lima Tostes

    (Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém, PA 66075-110, Brazil)

Abstract

This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

Suggested Citation

  • Thiago Mota Soares & Ubiratan Holanda Bezerra & Maria Emília de Lima Tostes, 2019. "Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids," Energies, MDPI, vol. 12(7), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1327-:d:220558
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    Citations

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    Cited by:

    1. Giovanni Artale & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Salvatore Guaiana & Enrico Telaretti & Nicola Panzavecchia & Giovanni Tinè, 2019. "Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems," Energies, MDPI, vol. 12(20), pages 1-17, October.
    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.
    3. Karthikeyan Nainar & Florin Iov, 2021. "Three-Phase State Estimation for Distribution-Grid Analytics," Clean Technol., MDPI, vol. 3(2), pages 1-14, May.
    4. Giovanni Artale & Giuseppe Caravello & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Salvatore Guaiana & Ninh Nguyen Quang & Marco Palmeri & Nicola Panzavecchia & Giovanni Tinè, 2020. "A Virtual Tool for Load Flow Analysis in a Micro-Grid," Energies, MDPI, vol. 13(12), pages 1-26, June.
    5. David Macii & Daniele Fontanelli & Grazia Barchi, 2020. "A Distribution System State Estimator Based on an Extended Kalman Filter Enhanced with a Prior Evaluation of Power Injections at Unmonitored Buses," Energies, MDPI, vol. 13(22), pages 1-25, November.

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