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Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

Author

Listed:
  • Giovanni Artale

    (Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy)

  • Antonio Cataliotti

    (Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy)

  • Valentina Cosentino

    (Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy)

  • Dario Di Cara

    (Institute of Marine Engineering (INM), National Research Council (CNR), 90146 Palermo, Italy)

  • Salvatore Guaiana

    (Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy)

  • Enrico Telaretti

    (Department of Engineering, Università degli Studi di Palermo, 90128 Palermo, Italy)

  • Nicola Panzavecchia

    (Institute of Marine Engineering (INM), National Research Council (CNR), 90146 Palermo, Italy)

  • Giovanni Tinè

    (Institute of Marine Engineering (INM), National Research Council (CNR), 90146 Palermo, Italy)

Abstract

The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by the authors, which allows the evaluation of medium-voltage power flows starting from low-voltage load measurements. This allows the reduction of the overall costs of measurement equipment and setup. The IHMP method was tested in the real 25-bus medium-voltage (MV) radial distribution network of the Island of Ustica (Mediterranean Sea). The proposed method is useful both for finding the best measurement configuration in a new distribution network and also for implementing an incremental enhancement of an existing measurement configuration, reaching a good tradeoff between instrumentation costs and measurement uncertainty.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3917-:d:277020
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    References listed on IDEAS

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    1. 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.

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