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Robust Linear Control of Boost and Buck-Boost DC-DC Converters in Micro-Grids with Constant Power Loads

Author

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  • Christos Yfoulis

    (Department of Industrial Engineering and Management (IEM), International Hellenic University (IHU), 57400 Thessaloniki, Greece
    Chemical Process Engineering Research Institute (CPERI) of the Centre for Research & Technology - Hellas (CERTH), 57001 Thermi, Thessaloniki, Greece)

  • Simira Papadopoulou

    (Department of Industrial Engineering and Management (IEM), International Hellenic University (IHU), 57400 Thessaloniki, Greece
    Chemical Process Engineering Research Institute (CPERI) of the Centre for Research & Technology - Hellas (CERTH), 57001 Thermi, Thessaloniki, Greece)

  • Spyridon Voutetakis

    (Chemical Process Engineering Research Institute (CPERI) of the Centre for Research & Technology - Hellas (CERTH), 57001 Thermi, Thessaloniki, Greece)

Abstract

Power distribution systems nowadays are highly penetrated by renewable energy sources, and this explains the dominant role of power electronic converters in their operation. However, the presence of multiple power electronic conversion units gives rise to the so-called phenomenon of Constant Power Loads (CPLs), which poses a serious stability challenge in the overall operation of a DC micro-grid. This article addresses the problem of enhancing the stability margin of boost and buck-boost DC-DC converters employed in DC micro-grids under uncertain mixed load conditions. This is done with a recently proposed methodology that relies on a two-degree-of-freedom (2-DOF) controller, comprised by a voltage-mode Proportional Integral Derivative (PID) (Type-III) primary controller and a reference governor (RG) secondary controller. This complementary scheme adjusts the imposed voltage reference dynamically and is designed in an optimal fashion via the Model Predictive Control (MPC) methodology based on a specialized composite (current and power) estimator. The outcome is a robust linear MPC controller in an explicit form that is shown to possess interesting robustness properties in a wide operating range and under various disturbances and mixed load conditions. The robustness and performance of the proposed controller/observer pair under steady-state, line, and mixed load variations is validated through extensive Matlab/Simulink simulations.

Suggested Citation

  • Christos Yfoulis & Simira Papadopoulou & Spyridon Voutetakis, 2020. "Robust Linear Control of Boost and Buck-Boost DC-DC Converters in Micro-Grids with Constant Power Loads," Energies, MDPI, vol. 13(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4829-:d:414058
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    References listed on IDEAS

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    1. Singh, Suresh & Gautam, Aditya R. & Fulwani, Deepak, 2017. "Constant power loads and their effects in DC distributed power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 407-421.
    2. Abdelali El Aroudi & Blanca Areli Martínez-Treviño & Enric Vidal-Idiarte & Angel Cid-Pastor, 2019. "Fixed Switching Frequency Digital Sliding-Mode Control of DC-DC Power Supplies Loaded by Constant Power Loads with Inrush Current Limitation Capability," Energies, MDPI, vol. 12(6), pages 1-27, March.
    3. Christos Yfoulis, 2019. "An MPC Reference Governor Approach for Enhancing the Performance of Precompensated Boost DC–DC Converters," Energies, MDPI, vol. 12(3), pages 1-18, February.
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    1. Erickson Diogo Pereira Puchta & Priscilla Bassetto & Lucas Henrique Biuk & Marco Antônio Itaborahy Filho & Attilio Converti & Mauricio dos Santos Kaster & Hugo Valadares Siqueira, 2021. "Swarm-Inspired Algorithms to Optimize a Nonlinear Gaussian Adaptive PID Controller," Energies, MDPI, vol. 14(12), pages 1-20, June.
    2. Xiaocong Li & Xin Chen, 2021. "A Multi-Index Feedback Linearization Control for a Buck-Boost Converter," Energies, MDPI, vol. 14(5), pages 1-14, March.
    3. Jaime A. Rohten & Javier E. Muñoz & Esteban S. Pulido & José J. Silva & Felipe A. Villarroel & José R. Espinoza, 2021. "Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications," Energies, MDPI, vol. 14(1), pages 1-18, January.

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