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Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability

Author

Listed:
  • Marvin Lema

    (Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador)

  • Wilson Pavon

    (Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador)

  • Leony Ortiz

    (Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador)

  • Ama Baduba Asiedu-Asante

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Silvio Simani

    (Engineering Department, Università degli Studi di Ferrara, 050031 Ferrara, Italy)

Abstract

The paper presents the design and control strategy of an isolated DC microgrid, which is based on classical control techniques, predictive control and iterative algorithms. The design control parameters are maximum overshoot, settling time and voltage ripple. The strategy is designed to operate in two different modes, end-users minimum and maximum demand scenarios, and this is achieved through the incorporation of network dynamic loads. The control methodology developed allows to obtain a fast response of the design set points, and an efficient control for disturbance rejection. The simulation results obtained satisfy the proposed design guidelines by obtaining a maximum overshoot of 4.8%, settling time of 0.012 seconds and a voltage ripple of 0.1 percentage. The implemented system simulation was developed in Matlab-Simulink software.

Suggested Citation

  • Marvin Lema & Wilson Pavon & Leony Ortiz & Ama Baduba Asiedu-Asante & Silvio Simani, 2022. "Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability," Energies, MDPI, vol. 15(15), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5442-:d:873234
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    References listed on IDEAS

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    Cited by:

    1. Shangping Lin & Yujie Huang & Changming Liaw, 2023. "Wind SRG-Based Bipolar DC Microgrid with Grid-Connected and Plug-In Energy Supporting Functions," Energies, MDPI, vol. 16(7), pages 1-32, March.
    2. Ahmed H. EL-Ebiary & Mohamed Mokhtar & Atef M. Mansour & Fathy H. Awad & Mostafa I. Marei & Mahmoud A. Attia, 2022. "Distributed Mitigation Layers for Voltages and Currents Cyber-Attacks on DC Microgrids Interfacing Converters," Energies, MDPI, vol. 15(24), pages 1-32, December.
    3. Anees Vettuparambil & Praveen Raveendran Nair Prasannakumari & Walied Alharbi & Abdullah S. Bin Humayd & Ahmed Bilal Awan, 2022. "Buck-Boost-Integrated, Dual-Active Bridge-Based Four-Port Interface for Hybrid Energy Systems," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    4. Wilson Pavon & Esteban Inga & Silvio Simani & Matthew Armstrong, 2023. "Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System," Energies, MDPI, vol. 16(5), pages 1-16, March.

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