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Review of Steady-State Electric Power Distribution System Datasets

Author

Listed:
  • Steffen Meinecke

    (Department of Energy Management and Power System Operation (e 2 n), University Kassel, 34121 Kassel, Germany)

  • Leon Thurner

    (Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), 34119 Kassel, Germany)

  • Martin Braun

    (Department of Energy Management and Power System Operation (e 2 n), University Kassel, 34121 Kassel, Germany
    Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), 34119 Kassel, Germany)

Abstract

Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools and algorithms. Such algorithms are essential to analyze and improve the integration of distributed energy resources (DERs) in electrical power systems. Increased penetration of DERs, new technologies, and changing regulatory frameworks require the continuous development of the grid infrastructure. As a result, the number and versatility of grid datasets, which are required in power system research, increases. Furthermore, the used grids are created by different methods and intentions. This paper gives orientation within these developments: First, a concise overview of well-known, publicly available grid datasets is provided. Second, background information on the compilation of the grid datasets, including different methods, intentions and data origins, is reviewed and characterized. Third, common terms to describe electric steady-state distribution grids, such as representative grid or benchmark grid , are assembled and reviewed. Recommendations for the use of these grid terms are made.

Suggested Citation

  • Steffen Meinecke & Leon Thurner & Martin Braun, 2020. "Review of Steady-State Electric Power Distribution System Datasets," Energies, MDPI, vol. 13(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4826-:d:413973
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    References listed on IDEAS

    as
    1. Steffen Meinecke & Džanan Sarajlić & Simon Ruben Drauz & Annika Klettke & Lars-Peter Lauven & Christian Rehtanz & Albert Moser & Martin Braun, 2020. "SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis," Energies, MDPI, vol. 13(12), pages 1-19, June.
    2. Fernando E. Postigo Marcos & Carlos Mateo Domingo & Tomás Gómez San Román & Bryan Palmintier & Bri-Mathias Hodge & Venkat Krishnan & Fernando De Cuadra García & Barry Mather, 2017. "A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks," Energies, MDPI, vol. 10(11), pages 1-14, November.
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    Cited by:

    1. Steffen Meinecke & Džanan Sarajlić & Simon Ruben Drauz & Annika Klettke & Lars-Peter Lauven & Christian Rehtanz & Albert Moser & Martin Braun, 2020. "SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis," Energies, MDPI, vol. 13(12), pages 1-19, June.
    2. Robson Porsch Delavechia & Bibiana P. Ferraz & Raul Scapini Weiand & Leonardo Silveira & Maicon Jaderson Silveira Ramos & Laura Lisiane Callai dos Santos & Daniel Pinheiro Bernardon & Rui Anderson Fer, 2023. "Electricity Supply Regulations in South America: A Review of Regulatory Aspects," Energies, MDPI, vol. 16(2), pages 1-33, January.
    3. Steffen Meinecke & David Sebastian Stock & Martin Braun, 2023. "New Distributed Optimization Method for TSO–DSO Coordinated Grid Operation Preserving Power System Operator Sovereignty," Energies, MDPI, vol. 16(12), pages 1-18, June.
    4. Jolando M. Kisse & Martin Braun & Simon Letzgus & Tanja M. Kneiske, 2020. "A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios," Energies, MDPI, vol. 13(16), pages 1-31, August.

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