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A finite control set model predictive controller for single-phase transformerless T-type dynamic voltage restorer

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Abstract

This paper presents a five-level T-type multilevel inverter (MLI) with a finite control set model predictive control (FCS-MPC) scheme for a single-phase transformerless dynamic voltage restorer (DVR). Typical two-level voltage source inverters are not suitable for high-power and medium-voltage applications due to high dv/dt, large size, and high cost of the filter, as well as high voltage stress on all switches. To overcome these issues, a reduced switch count T-type MLI-based transformerless DVR is proposed. The literature does not yet describe an FCS-MPC control scheme for transformerless T-type DVR. The FCS-MPC controller predicts the future of the trajectory of the controlled variables based on a prediction model. The optimal state is then selected using a cost function that is formed by combining predicted and reference variables. The proposed control technique minimizes the total harmonic distortion to a very low value compared to a linear PI controller. In addition, this control scheme is not dependent on a modulation scheme and linear control technique. The proposed system is validated by both simulation and experimental results.

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References

  1. Biricik S, Komurcugil H, Ahmed H, Babaei E (2021) Super twisting sliding mode control of DVR with frequency-adaptive Brockett oscillator. IEEE Trans Ind Electron 68(11):10730–10739

    Article  Google Scholar 

  2. Moghassemi A, Padmanaban S, Ramachandaramurthy VK, Mitolo M, Benbouzid M (2021) A novel solar photovoltaic fed TransZSI-DVR for power quality improvement of grid-connected PV systems. IEEE Access 9:7263–7269

    Article  Google Scholar 

  3. Masetti C (2010) Revision of European Standard EN 50160. In: 14th international conference on harmonics and quality of power pp 1-9

  4. Webb JC, Neighbours T, Karandikar H (2020) IEEE ANSI MV switchgear matching the standard to the application. In: 56th industrial and commercial power systems technical conference, New York, USA pp 1-6

  5. IEEE Guide for Identifying and Improving Voltage Quality in Power Systems. (2018) IEEE Std. pp 1250-2018

  6. Remya VK, Parthiban P, Ansal V, Babu C (2018) Dynamic voltage restorer (DVR)-a review. J Green Eng 8(4):519–572

    Article  Google Scholar 

  7. Moghassemi A, Padmanaban S (2020) Dynamic voltage restorer (DVR): a comprehensive review of topologies, power converters, control methods, and modified configurations. Energies 13(16):4152

    Article  Google Scholar 

  8. Karthikeyan A , Krishna DA, Kurra S, Prabhakaran KK (2018) Uncertainity and disturbance estimator based control of transformerless DVR. In: IEEE international telecommunications energy conference pp 1-6

  9. Farhadi-Kangarlu M, Neyshabouri Y, Sotudeh A (2021) Design and application of a five-level cross-switched inverter in low-voltage distribution system voltage compensation. In: Iranian conference on electrical engineering pp 274–278

  10. Rajkumar K, Parthiban P, Lokesh N (2020) Real-time implementation of transformerless dynamic voltage restorer based on T-type multilevel inverter with reduced switch count. Int Trans Electr Energ Syst 30(4):1–18

    Article  Google Scholar 

  11. Farhadi-Kangarlu M, Babaei E, Blaabjerg F (2017) A comprehensive review of dynamic voltage restorers. Int J Electr Power Energy Syst 92:136–155

    Article  Google Scholar 

  12. Behrooz F, Mariun N, Marhaban MH, Radzi MAM, Ramli AR (2018) Review of control techniques for HVAC systems nonlinearity approaches based on Fuzzy cognitive maps. Energies 11(3):1–41

    Article  Google Scholar 

  13. Rajkumar K, Parthiban P, Lokesh N (2021) Control of transformerless T-type DVR using multiple delayed signal cancellation PLL under unbalanced and distorted grid condition. Eng Sci Technol Int J 1-11

  14. Krishna DGA, Anbalagan K, Prabhakaran KK, Kumar S (2020) An efficient pseudo-derivative-feedback-based voltage controller for DVR under distorted grid conditions. IEEE J Emerg Sel Top Power Electron 2(1):71–81

    Article  Google Scholar 

  15. Singh JK, Behera RK (2018) Hysteresis current controllers for grid connected inverter: review and experimental implementation. In: IEEE international conference on power electronics, drives and energy systems (PEDES) pp 1-6

  16. Abu-Siada A, Budiri J, Abdou AF (2018) Solid state transformers topologies, controllers, and applications state-of-the-art literature review. Electronics 7(11):1–18

    Article  Google Scholar 

  17. Busada CA, Jorge SG, Solsona JA (2020) Synchronous reference frame PI current controller with dead beat response. IEEE Trans Power Electron 35(3):3097–3105

    Article  Google Scholar 

  18. Kapoor R, Sushama M (2015) Fault current control using a repetitive controller based DVR. In: Second international conference on advances in computing and communication engineering pp 224–227

  19. Athari H, Niroomand M, Ataei M (2017) Review and classification of control systems in grid-tied inverters. Renew Sustain Energy Rev 72:1167–1176

    Article  Google Scholar 

  20. Li YW, Blaabjerg F, Vilathgamuwa DM, Loh PC (2007) Design and comparison of high performance stationary-frame controllers for DVR implementation. IEEE Trans Power Electron 22(2):602–612

    Article  Google Scholar 

  21. Singh SP, Bhat AH, Kumar A (2016) Fuzzy logic based dynamic voltage restorer for addressing various power quality problems. In: IEEE power India international conference pp 1–5

  22. Mallick N, Mukherjee V (2018) Self tuned fuzzy proportional-integral compensated zero/minimum active power algorithm based dynamic voltage restorer. IET Gen Transm Distr 12(11):2778–2787

    Article  Google Scholar 

  23. Sunny MSH, Hossain E, Ahmed M, Un-Noor F (2018) Artificial neural network based dynamic voltage restorer for improvement of power quality. In: IEEE energy conversion congress and exposition pp 5565–5572

  24. Biricik S, Komurcugil H (2016) Optimized sliding mode control to maximize existence region for single-phase dynamic voltage restorers. IEEE Trans Ind Inform 12(4):1486–1497

    Article  Google Scholar 

  25. Biricik S, Komurcugil H, Tuyen N, Basu M (2018) Protection of sensitive loads using sliding mode controlled three-phase DVR with adaptive notch filter. IEEE Trans Ind Electron 66(7):5465–5475

    Article  Google Scholar 

  26. Biricik S, Komurcugil H (2016) Time-varying and constant switching frequency-based sliding-mode control methods for transformerless DVR employing half-bridge VSI. IEEE Trans Ind Electron 64(4):2570–2579

    Google Scholar 

  27. Kouro S, Cortes P, Vargas R, Ammann U, Rodriguez J (2009) Model predictive control A simple and powerful method to control power converters. IEEE Trans Ind Electron 56(6):1826–1838

    Article  Google Scholar 

  28. Dekka A, Bin W, Yaramasu V, Fuentes RL, Zargari NR (2018) Model predictive control of high-power modular multilevel converters an overview. IEEE J Emerg Sel Top Power 7(1):168–183

    Article  Google Scholar 

  29. Kumar C, Mishra MK (2021) Predictive voltage control of transformerless dynamic voltage restorer. IEEE Trans Ind Electron 62(5):2693–2697

    Article  Google Scholar 

  30. Innocent LA, Lamine DM, Joseph SM, Yaramasu, V. (2018) Finite control set-model predictive control for power converters multilevel symmetric cascaded H-bridge inverters-fed drive. In: 14th international conference on ecological vehicles and renewable energies pp 1-7

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, National Institute of Technology Karnatka Surathkal, Mangalore, 575025, India

    Kodari Rajkumar & P. Parthiban

  2. Department of Mechanical engineering, University College London, London, UK

    Ferdinand Grimm & Mehdi Baghdadi

  3. Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, Tamilnadu, 600036, India

    Nalla Lokesh

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  1. Kodari Rajkumar
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  2. Ferdinand Grimm
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  3. P. Parthiban
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  4. Mehdi Baghdadi
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  5. Nalla Lokesh
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Correspondence to Kodari Rajkumar.

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Rajkumar, K., Grimm, F., Parthiban, P. et al. A finite control set model predictive controller for single-phase transformerless T-type dynamic voltage restorer. Electr Eng 105, 1287–1297 (2023). https://doi.org/10.1007/s00202-022-01731-0

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  • DOI: https://doi.org/10.1007/s00202-022-01731-0

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