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A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid

Author

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  • Igyso Zafeiratou

    (Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France)

  • Ionela Prodan

    (Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France)

  • Laurent Lefévre

    (Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France)

Abstract

This work considers the DC part of a hybrid AC/DC microgrid with a meshed topology. We address cost minimization, battery scheduling and the power loss minimization within the power distribution network through constrained optimization. The novelty comes from applying differential flatness properties to the microgrid components and formulating the cost and constraints in terms of the associated B-splines parametrization of the flat outputs (the voltages and currents of the system). This allows us to obtain optimal power profiles to minimize the power dissipation and the cost of the electricity purchase from the external grid. These profiles are tracked by a model predictive controller at the higher level, while at a a lower level a controller deals with the operation of the switches within the DC/DC converters. Extensive simulations under nominal and fault-affected scenarios using realistic data validate the proposed approach.

Suggested Citation

  • Igyso Zafeiratou & Ionela Prodan & Laurent Lefévre, 2021. "A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid," Energies, MDPI, vol. 14(16), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4846-:d:610995
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    References listed on IDEAS

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    1. Meng, Lexuan & Sanseverino, Eleonora Riva & Luna, Adriana & Dragicevic, Tomislav & Vasquez, Juan C. & Guerrero, Josep M., 2016. "Microgrid supervisory controllers and energy management systems: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1263-1273.
    2. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Juan C. Vasquez & Josep M. Guerrero, 2018. "Energy Storage Systems for Shipboard Microgrids—A Review," Energies, MDPI, vol. 11(12), pages 1-32, December.
    3. Michael D. Cook & Eddy H. Trinklein & Gordon G. Parker & Rush D. Robinett & Wayne W. Weaver, 2019. "Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids," Energies, MDPI, vol. 12(18), pages 1-20, September.
    4. Eleonora Riva Sanseverino & Maria Luisa Di Silvestre & Romina Badalamenti & Ninh Quang Nguyen & Josep Maria Guerrero & Lexuan Meng, 2015. "Optimal Power Flow in Islanded Microgrids Using a Simple Distributed Algorithm," Energies, MDPI, vol. 8(10), pages 1-22, October.
    5. Gamarra, Carlos & Guerrero, Josep M., 2015. "Computational optimization techniques applied to microgrids planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 413-424.
    6. Kuo Feng & Chunhua Liu & Zaixin Song, 2019. "Hour-Ahead Energy Trading Management with Demand Forecasting in Microgrid Considering Power Flow Constraints," Energies, MDPI, vol. 12(18), pages 1-15, September.
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    Cited by:

    1. Paolo Tenti & Tommaso Caldognetto, 2022. "Generalized Control of the Power Flow in Local Area Energy Networks," Energies, MDPI, vol. 15(4), pages 1-21, February.
    2. Basma Salah & Hany M. Hasanien & Fadia M. A. Ghali & Yasser M. Alsayed & Shady H. E. Abdel Aleem & Adel El-Shahat, 2022. "African Vulture Optimization-Based Optimal Control Strategy for Voltage Control of Islanded DC Microgrids," Sustainability, MDPI, vol. 14(19), pages 1-26, September.

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