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Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids

Author

Listed:
  • Edoardo De Din

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany)

  • Fabian Bigalke

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany)

  • Marco Pau

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany)

  • Ferdinanda Ponci

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany)

  • Antonello Monti

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52062 Aachen, Germany)

Abstract

The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. The multi-timescale solution is based on three levels that coordinate Distributed Generation (DG) and Energy Storage Systems (ESSs), but differs in terms of the timescales and objectives of the control levels. Realistic load and photovoltaic generation profiles were created for cloudy and clean sky conditions to evaluate the performance features of the multi-timescale framework. The proposed solution was also compared with different frameworks featuring two of the three levels, to highlight the contribution of the combination of the three levels in achieving the best performance.

Suggested Citation

  • Edoardo De Din & Fabian Bigalke & Marco Pau & Ferdinanda Ponci & Antonello Monti, 2021. "Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids," Energies, MDPI, vol. 14(7), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1965-:d:528860
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    References listed on IDEAS

    as
    1. Masoud Babaei & Ahmadreza Abazari & S. M. Muyeen, 2020. "Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid," Energies, MDPI, vol. 13(2), pages 1-23, January.
    2. Edoardo De Din & Marco Pau & Ferdinanda Ponci & Antonello Monti, 2020. "A Coordinated Voltage Control for Overvoltage Mitigation in LV Distribution Grids," Energies, MDPI, vol. 13(8), pages 1-20, April.
    3. Pol Olivella-Rosell & Pau Lloret-Gallego & Íngrid Munné-Collado & Roberto Villafafila-Robles & Andreas Sumper & Stig Ødegaard Ottessen & Jayaprakash Rajasekharan & Bernt A. Bremdal, 2018. "Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level," Energies, MDPI, vol. 11(4), pages 1-19, April.
    4. Holger C. Hesse & Michael Schimpe & Daniel Kucevic & Andreas Jossen, 2017. "Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids," Energies, MDPI, vol. 10(12), pages 1-42, December.
    5. Bayer, Benjamin & Matschoss, Patrick & Thomas, Heiko & Marian, Adela, 2018. "The German experience with integrating photovoltaic systems into the low-voltage grids," Renewable Energy, Elsevier, vol. 119(C), pages 129-141.
    6. Ghassem Mokhtari & Ghavameddin Nourbakhsh & Amjad Anvari-Moghadam & Negareh Ghasemi & Aminmohammad Saberian, 2017. "Optimal Cooperative Management of Energy Storage Systems to Deal with Over- and Under-Voltages," Energies, MDPI, vol. 10(3), pages 1-17, March.
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    Cited by:

    1. Muhammed Sait Aydin & Sahban W. Alnaser & Sereen Z. Althaher, 2022. "Using OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach," Energies, MDPI, vol. 15(13), pages 1-19, July.

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