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A Coordinated Voltage Control for Overvoltage Mitigation in LV Distribution Grids

Author

Listed:
  • Edoardo De Din

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany)

  • Marco Pau

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany)

  • Ferdinanda Ponci

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany)

  • Antonello Monti

    (Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany)

Abstract

The design of intelligent strategies for grid management is a cost-effective solution to increase the hosting capacity of distribution grids without investing in the reinforcement of the grid assets. This paper presents a distributed voltage control algorithm to coordinate Energy Storage Systems (ESSs) and Distributed Generation (DG) in a scenario of high renewable penetration. The proposed control algorithm relies on a dual decomposition approach and aims at mitigating possible voltage rise events occurring in the Low Voltage (LV) grid by solving an optimization problem of power minimization. Instead of using local control strategies, in the proposed solution, the voltage control burden is distributed among all the available resources in the grid, which cooperate to resolve the existing voltage violations. The performance of the developed voltage control has been tested under realistic distribution grid scenarios, using stochastic load profiles together with photovoltaic generation profiles obtained in the presence of both clear sky and cloudy sky conditions. The algorithm is also compared to a strategy that considers only DG management, highlighting the benefits associated to the proposed coordination of DG and Energy Storage Systems (ESSs).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2007-:d:347112
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    References listed on IDEAS

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    1. 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.
    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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    Citations

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    Cited by:

    1. A.S. Jameel Hassan & Umar Marikkar & G.W. Kasun Prabhath & Aranee Balachandran & W.G. Chaminda Bandara & Parakrama B. Ekanayake & Roshan I. Godaliyadda & Janaka B. Ekanayake, 2021. "A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration," Energies, MDPI, vol. 14(20), pages 1-24, October.
    2. 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.
    3. Wasiak, Irena & Szypowski, Michał & Kelm, Paweł & Mieński, Rozmysław & Wędzik, Andrzej & Pawełek, Ryszard & Małaczek, Michał & Urbanek, Przemysław, 2022. "Innovative energy management system for low-voltage networks with distributed generation based on prosumers’ active participation," Applied Energy, Elsevier, vol. 312(C).
    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.

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