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A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation

Author

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  • Giulio Ferro

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy)

  • Michela Robba

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy)

  • Roberto Sacile

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy)

Abstract

In the last few years, one of the most important challenges of power technologies has been the integration of traditional energy production systems and distributed energy resources. Large-scale photovoltaic systems and wind farms may decrease the quality of the electrical grid service, mainly due to voltage and frequency peaks and fluctuations. Besides, new functionalities, such as the operation in islanded mode of some portions of the medium-voltage grid, are more and more required. In this respect, a model predictive control for voltage and frequency regulation in interconnected local distribution systems is presented. In the proposed model, each local system represents a collection of intelligent buildings and microgrids with a large capacity in active and reactive power regulation. The related model formalization includes a linear approximation of the power flow equations, based on stochastic variables related to the electrical load and to the production from renewable sources. A model predictive control problem is formalized, and a closed-loop linear control law has been obtained. In the results section, the proposed approach has been tested on the Institute of Electrical and Electronics Engineers(IEEE) 5 bus system, considering multiple loads and renewable sources variations on each local system.

Suggested Citation

  • Giulio Ferro & Michela Robba & Roberto Sacile, 2020. "A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation," Energies, MDPI, vol. 13(10), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2637-:d:361428
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    References listed on IDEAS

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    4. Giulio Ferro & Riccardo Minciardi & Luca Parodi & Michela Robba & Mansueto Rossi, 2020. "Optimal Control of Multiple Microgrids and Buildings by an Aggregator," Energies, MDPI, vol. 13(5), pages 1-23, February.
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    8. Gholam Ali Alizadeh & Tohid Rahimi & Mohsen Hasan Babayi Nozadian & Sanjeevikumar Padmanaban & Zbigniew Leonowicz, 2019. "Improving Microgrid Frequency Regulation Based on the Virtual Inertia Concept while Considering Communication System Delay," Energies, MDPI, vol. 12(10), pages 1-15, May.
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    Cited by:

    1. Kyunghwan Choi & Dong Soo Kim & Seok-Kyoon Kim, 2020. "Disturbance Observer-Based Offset-Free Global Tracking Control for Input-Constrained LTI Systems with DC/DC Buck Converter Applications," Energies, MDPI, vol. 13(16), pages 1-18, August.
    2. Shuchao Wang & Shenpeng Duan & Gaoxiang Mi & Yuping Lu, 2022. "Optimized Power Distribution Technology for Fast Frequency Response in Photovoltaic Power Stations," Energies, MDPI, vol. 15(23), pages 1-20, November.
    3. Giulio Ferro & Michela Robba & Roberto Sacile, 2021. "Optimal Control of Smart Distributed Power and Energy Systems," Energies, MDPI, vol. 15(1), pages 1-2, December.

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