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Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads

Author

Listed:
  • Hussain Sarwar Khan

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

  • Muhammad Aamir

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

  • Muhammad Ali

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

  • Asad Waqar

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

  • Syed Umaid Ali

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

  • Junaid Imtiaz

    (Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan)

Abstract

In this paper, the finite control set model predictive control (FCS–MPC) technique-based controller is proposed for the inverter of the uninterrupted power supply (UPS) system. The proposed controller uses the mathematical model of the system to forecast the response of voltage for each possible switching state for every sampling instant. Following this, the cost function was used to determine the switching state, applied to the next sampling instant. First, the proposed control strategy was implemented for the single inverter of the UPS system. Finally, the droop control strategy was implemented for parallel inverters to guarantee actual power sharing among a multiple-parallel UPS system. To validate the performance of the proposed controller under steady-state conditions and dynamic-transient conditions, extensive simulations were conducted using MATLAB/Simulink. The proposed work shows a low computational burden, good steady state performance, fast transient response, and robust results against parameter disturbances as compared to linear control. The simulation results showed that total harmonic distortion (THD) for the linear load was 0.9% and THD for the nonlinear load was 1.42%.

Suggested Citation

  • Hussain Sarwar Khan & Muhammad Aamir & Muhammad Ali & Asad Waqar & Syed Umaid Ali & Junaid Imtiaz, 2019. "Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads," Energies, MDPI, vol. 12(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:581-:d:205361
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    References listed on IDEAS

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    1. 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.
    2. Arahal, M.R. & Barrero, F. & Ortega, M.G. & Martin, C., 2016. "Harmonic analysis of direct digital control of voltage inverters," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 155-166.
    3. Tayab, Usman Bashir & Roslan, Mohd Azrik Bin & Hwai, Leong Jenn & Kashif, Muhammad, 2017. "A review of droop control techniques for microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 717-727.
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    Cited by:

    1. Tiago Oliveira & Luís Caseiro & André Mendes & Sérgio Cruz & Marina Perdigão, 2021. "Model Predictive Control for Paralleled Uninterruptible Power Supplies with an Additional Inverter Leg for Load-Side Neutral Connection," Energies, MDPI, vol. 14(8), pages 1-29, April.
    2. Luís Caseiro & André Mendes, 2021. "Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control," Energies, MDPI, vol. 14(8), pages 1-39, April.
    3. Agnieszka Kowal G. & Manuel R. Arahal & Cristina Martin & Federico Barrero, 2019. "Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers," Energies, MDPI, vol. 12(14), pages 1-9, July.
    4. Muhammad Zubair Asif Bhatti & Abubakar Siddique & Waseem Aslam & Shahid Atiq & Hussain Sarwar Khan, 2023. "Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids," Energies, MDPI, vol. 16(3), pages 1-22, February.
    5. Tiago Oliveira & Luís Caseiro & André Mendes & Sérgio Cruz, 2020. "Finite Control Set Model Predictive Control for Paralleled Uninterruptible Power Supplies," Energies, MDPI, vol. 13(13), pages 1-30, July.
    6. Vijay Kumar Singh & Ravi Nath Tripathi & Tsuyoshi Hanamoto, 2020. "FPGA-Based Implementation of Finite Set-MPC for a VSI System Using XSG-Based Modeling," Energies, MDPI, vol. 13(1), pages 1-18, January.

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