Journal of Electrical Engineering and Automation
IRO Journals
Volume 5 — Issue 4 — December 2023

Model Predictive Control for Matrix Converters in Grid-Interactive Applications

https://doi.org/10.36548/jeea.2023.4.003
Rahul Kumar Jha
Department of Electrical Engineering, Tribhuvan University, Kathmandu, Nepal
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Jha, Rahul Kumar. 2023. “Model Predictive Control for Matrix Converters in Grid-Interactive Applications”. Journal of Electrical Engineering and Automation 5 (4): 419-38. https://doi.org/10.36548/jeea.2023.4.003.
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Keywords

— Model Predictive Control
— Matrix Converters
— Grid-Interactive Applications
— Power Electronics
— Renewable Energy
Published: 20-12-2023

Abstract

Model Predictive Control (MPC) is a promising control strategy for matrix converters in grid-interactive applications. MPC optimizes a cost function over a finite time horizon, considering system constraints like voltage and current limits, grid codes, and power factor requirements. This enables effective grid synchronization, power quality regulation, and efficient power conversion. Advancements in MPC include predictive modelling techniques, adaptive algorithms, optimization algorithm integration, hybrid control strategies, and multi-objective optimization formulations. Benefits include fast response to changes in grid conditions, robustness in handling uncertainties, and extended time-horizon optimization. This study provides insights into MPC techniques and highlights the potential for further research.

References

  1. Aghdam, Mahlagha Mahdavi, Li Li, and Jianguo Zhu. "Comprehensive study of finite control set model predictive control algorithms for power converter control in microgrids." IET Smart Grid 3, no. 1 (2020): 1-10.
  2. Babayomi, Oluleke, Yu Li, Zhenbin Zhang, Ralph Kennel, and Jinsong Kang. "Overview of model predictive control of converters for islanded AC microgrids." In 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia), pp. 1023-1028. IEEE, 2020..
  3. Lunardi, Angelo, Luís F. Normandia Lourenço, Enkhtsetseg Munkhchuluun, Lasantha Meegahapola, and Alfeu J. Sguarezi Filho. "Grid-Connected Power Converters: An Overview of Control Strategies for Renewable Energy." Energies 15, no. 11 (2022): 4151.
  4. Jiang, Yaoxi, Wentao Wang, Hongchun Shu, and Junjie Zhang. "Model Predictive PI Circulating Current Control for Modular Multilevel Converter." Electronics 12, no. 12 (2023): 2690..
  5. Khosravi, Mahyar, Masoume Amirbande, Davood A. Khaburi, Marco Rivera, Jose Riveros, Jose Rodriguez, Abolfazl Vahedi, and Patrick Wheeler. "Review of model predictive control strategies for matrix converters." IET Power Electronics 12, no. 12 (2019): 3021-3032.
  6. Fayyaz, Muhammad M., Irtaza M. Syed, Yi Meng, and Muhammad N. Aman. "Comprehensive Predictive Control Model for a Three-Phase Four-Legged Inverter." Energies 16, no. 6 (2023): 2650.
  7. Ali, Mohammad, Atif Iqbal, and Muhammad Khalid. "A review on recent advances in matrix converter technology: Topologies, control, applications, and future prospects." International Journal of Energy Research 2023 (2023).
  8. D. Kouzoupis, G. Frison, A. Zanelli, and M. Diehl, “Recent Advances in Quadratic Programming Algorithms for Nonlinear Model Predictive Control,” Vietnam J Math, vol. 46, no. 4, pp. 863–882, 2018, doi: 10.1007/s10013-018-0311-1.
  9. Z. Zhang et al., “Advances and opportunities in the model predictive control of microgrids: Part I–primary layer,” International Journal of Electrical Power & Energy Systems, vol. 134, p. 107411, 2022, doi: https://doi.org/10.1016/j.ijepes.2021.107411.
  10. T.-L. Nguyen and H.-H. Lee, “Improved model predictive control scheme for AC/DC matrix converters by considering input filter power ripple under imbalanced grid voltage conditions,” Journal of Power Electronics, vol. 20, no. 6, pp. 1364–1374, 2020, doi: 10.1007/s43236-020-00141-4.
  11. M. Rivera, P. Wheeler, A. Olloqui, and D. A. Khaburi, “A review of predictive control techniques for matrix converters — Part II,” in 2016 7th Power Electronics and Drive Systems Technologies Conference (PEDSTC), 2016, pp. 589–595. doi: 10.1109/PEDSTC.2016.7556926.
  12. Buijs, Jeroen, J. Ludlage, W. Van Brempt, and Bart De Moor. "Quadratic programming in model predictive control for large scale systems." IFAC Proceedings Volumes 35, no. 1 (2002): 301-306.
  13. G. Gontijo, M. Soares, T. Tricarico, R. Dias, M. Aredes, and J. Guerrero, “Direct matrix converter topologies with model predictive current control applied as power interfaces in AC, DC, and hybrid microgrids in islanded and grid-connected modes,” Energies (Basel), vol. 12, no. 17, Aug. 2019, doi: 10.3390/en12173302.
  14. D. Varajão and R. E. Araújo, “Modulation methods for direct and indirect matrix converters: A review,” Electronics (Switzerland), vol. 10, no. 7. MDPI AG, Apr. 01, 2021. doi: 10.3390/electronics10070812.
  15. Chlebis, P., P. Simonik, and M. Kabasta. "The comparison of direct and indirect matrix converters." PIERS Proceedings, Cambridge, USA (2010).
  16. Ozdemir, Engin, Mehmet Ucar, Metin Kesler, and Murat Kale. "The design and implementation of a shunt active power filter based on source current measurement." In 2007 IEEE International Electric Machines & Drives Conference, vol. 1, pp. 608-613. IEEE, 2007.
  17. Baliyan, Arjun, Majid Jamil, M. Rizwan, Ibrahim Alsaidan, and Muhannad Alaraj. "An intelligent PI Controller-based hybrid Series active power filter for power quality improvement." Mathematical Problems in Engineering 2021 (2021): 1-10.
  18. L. Empringham, J. W. Kolar, J. Rodriguez, P. W. Wheeler, and J. C. Clare, “Technological issues and industrial application of matrix converters: A review,” IEEE Transactions on Industrial Electronics, vol. 60, no. 10. Institute of Electrical and Electronics Engineers Inc., pp. 4260–4271, 2013. doi: 10.1109/TIE.2012.2216231.
  19. R. Muzzammel and U. Tahir, “Maximization of Transfer Ratio and Minimization of Harmonics in Three Phase AC/AC Matrix Converter,” Br J Appl Sci Technol, vol. 21, no. 2, pp. 1–20, Jan. 2017, doi: 10.9734/bjast/2017/33416.
  20. R. Kr Ahuja, P. Kumar, and L. Agarwal, “MODELING AND SIMULATION OF THREE-PHASE MATRIX CONVERTER USING MATLAB,”. International Journal Of Advance Research In Science And Engineering October, 2013, pp 220 -229,
  21. “Hemakesavulu, O., and T. Brahmananda Reddy. "Modeling and Simulation of Matrix Converter Using Space Vector PWM Technique." International Journal of Science and Research (IJSR) 6, no. 3 (2017): 1754-1758.
  22. Itoh, Jun-ichi, Akihiro Odaka, and Ikuya Sato. "High efficiency power conversion using a matrix converter." Fuji Electric Review 50, no. 3 (2004): 94-98.
  23. K. B. Tawfiq, A. F. Abdou, E. E. El-Kholy, and S. S. Shokrall, “Application of matrix converter connected to wind energy system,” in 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Jan. 2017, pp. 604–609. doi: 10.1109/MEPCON.2016.7836954.
  24. Tawfiq, Kotb B., A. F. Abdou, E. E. El-Kholy, and S. S. Shokrall. "Application of matrix converter connected to wind energy system." In 2016 Eighteenth international middle east power systems conference (MEPCON), pp. 604-609. IEEE, 2016.
  25. M. Schwenzer, M. Ay, T. Bergs, and D. Abel, “Review on model predictive control: an engineering perspective,” International Journal of Advanced Manufacturing Technology, vol. 117, no. 5–6. Springer Science and Business Media Deutschland GmbH, pp. 1327–1349, Nov. 01, 2021. doi: 10.1007/s00170-021-07682-3.
  26. https://www.mathworks.com/help/sps/ug/three-phase-matrix-converter-1.html