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Optimized Planning of Distribution Grids Considering Grid Expansion, Battery Systems and Dynamic Curtailment

Author

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  • Ouafa Laribi

    (Institute of Power Transmission and High Voltage Technology, University of Stuttgart, 70174 Stuttgart, Germany)

  • Krzysztof Rudion

    (Institute of Power Transmission and High Voltage Technology, University of Stuttgart, 70174 Stuttgart, Germany)

Abstract

The increasing integration of renewable energies into the grid is calling for the expansion of the power transport capacities in the distribution system. Yet, the expansion of the grid could require long authorization procedures and cannot be always asserted. Therefore, a higher utilization of the existing grid is becoming increasingly necessary today. This paper proposes a new time series-based planning method for distribution systems using classical grid expansion instruments as well as innovative planning instruments such as battery storage systems (BSS) and dynamic power curtailment (DPC). These planning instruments could be applied individually or combined. The aim of the BSS and DPC application is to enable a higher utilization of the grid at minimal costs. The proposed method, which has been implemented as an automated planning algorithm, determines the cost-optimal grid reinforcement measures that ensure the prevention of prognosticated congestions in the considered grid. Furthermore, the application of the proposed planning method on the considered power system has proven that a combination of BSS and grid expansion could be more economical than an individual application of BSS and grid expansion.

Suggested Citation

  • Ouafa Laribi & Krzysztof Rudion, 2021. "Optimized Planning of Distribution Grids Considering Grid Expansion, Battery Systems and Dynamic Curtailment," Energies, MDPI, vol. 14(17), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5242-:d:620921
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    References listed on IDEAS

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    1. Ioannis Mexis & Grazia Todeschini, 2020. "Battery Energy Storage Systems in the United Kingdom: A Review of Current State-of-the-Art and Future Applications," Energies, MDPI, vol. 13(14), pages 1-31, July.
    2. Resch, Matthias & Bühler, Jochen & Klausen, Mira & Sumper, Andreas, 2017. "Impact of operation strategies of large scale battery systems on distribution grid planning in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1042-1063.
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    Cited by:

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    2. Aswad Adib & Joao Onofre Pereira Pinto & Madhu S. Chinthavali, 2023. "GA-Based Voltage Optimization of Distribution Feeder with High-Penetration of DERs Using Megawatt-Scale Units," Energies, MDPI, vol. 16(13), pages 1-10, June.
    3. Bernd Thormann & Thomas Kienberger, 2022. "Estimation of Grid Reinforcement Costs Triggered by Future Grid Customers: Influence of the Quantification Method (Scaling vs. Large-Scale Simulation) and Coincidence Factors (Single vs. Multiple Appl," Energies, MDPI, vol. 15(4), pages 1-26, February.

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