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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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    1. O., Yugeswar Reddy & J., Jithendranath & Chakraborty, Ajoy Kumar & Guerrero, Josep M., 2022. "Stochastic optimal power flow in islanded DC microgrids with correlated load and solar PV uncertainties," Applied Energy, Elsevier, vol. 307(C).
    2. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2015. "Application of Model Predictive Control to BESS for Microgrid Control," Energies, MDPI, vol. 8(8), pages 1-16, August.
    3. Mishra, Manohar & Patnaik, Bhaskar & Biswal, Monalisa & Hasan, Shazia & Bansal, Ramesh C., 2022. "A systematic review on DC-microgrid protection and grounding techniques: Issues, challenges and future perspective," Applied Energy, Elsevier, vol. 313(C).
    4. Wilson Pavon & Esteban Inga & Silvio Simani & Maddalena Nonato, 2021. "A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability," Energies, MDPI, vol. 14(24), pages 1-15, December.
    5. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    6. Ariel Villalón & Marco Rivera & Yamisleydi Salgueiro & Javier Muñoz & Tomislav Dragičević & Frede Blaabjerg, 2020. "Predictive Control for Microgrid Applications: A Review Study," Energies, MDPI, vol. 13(10), pages 1-32, May.
    7. Alagoz, B. Baykant & Kaygusuz, Asim & Akcin, Murat & Alagoz, Serkan, 2013. "A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market," Energy, Elsevier, vol. 59(C), pages 95-104.
    8. Guodong Liu & Zhi Li & Yaosuo Xue & Kevin Tomsovic, 2022. "Microgrid Assisted Design for Remote Areas," Energies, MDPI, vol. 15(10), pages 1-23, May.
    9. Bruno Domenech & Laia Ferrer-Martí & Facundo García & Georgina Hidalgo & Rafael Pastor & Antonin Ponsich, 2022. "Optimizing PV Microgrid Isolated Electrification Projects—A Case Study in Ecuador," Mathematics, MDPI, vol. 10(8), pages 1-24, April.
    10. Vo-Van Thanh & Wencong Su & Bin Wang, 2022. "Optimal DC Microgrid Operation with Model Predictive Control-Based Voltage-Dependent Demand Response and Optimal Battery Dispatch," Energies, MDPI, vol. 15(6), pages 1-19, March.
    11. Wilson Pavón & Esteban Inga & Silvio Simani, 2019. "Optimal Routing an Ungrounded Electrical Distribution System Based on Heuristic Method with Micro Grids Integration," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    12. Sabrina Yeasmin & Tushar Kanti Roy & Subarto Kumar Ghosh, 2022. "Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    13. Jamila Aourir & Fabrice Locment & Manuela Sechilariu, 2022. "Power and Energy Management of a DC Microgrid for a Renewable Curtailment Case Due to the Integration of a Small-Scale Wind Turbine," Energies, MDPI, vol. 15(9), pages 1-24, May.
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    Cited by:

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    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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