Model Predictive Control of Grid-Connected Wind Energy Conversion System

References

• X. Li, H. Zhang, M. B. Shadmand, and R. S. Balog, “Model predictive control of a voltage-source inverter with seamless transition between islanded and grid-connected operations,” IEEE Trans. Ind. Electron., Vol. 64, no. 10, pp. 7906–18, 2017. doi: 10.1109/TIE.2017.2696459
   Web of Science ®Google Scholar
• M. Adam, Y. Chen, and X. Deng, “Harmonic current compensation using active power filter based on model predictive control technology,” JPE, Vol. 18, no. 6, pp. 1889–900, 2018.
   Google Scholar
• H.-J. Yoo, T.-T. Nguyen, and H.-M. Kim, “MPC with constant switching frequency for inverter-based distributed generations in microgrid using gradient descent,” Energies, Vol. 12, pp. 1–14, 2019. doi:10.3390/en12061156.
   Web of Science ®Google Scholar
• Y. Sangsefidi, A. Zabetian-Hosseini, and A. Mehrizi-Sani, “Model predictive control of single-phase grid-connected voltage-sourced converters,” IEEE International Conference, Portland, USA, 2018.
   Google Scholar
• T. Zhang, X. Chen, C. Qi, and Z. Lang, “Leg-by-leg-based finite-control-set model predictive control for two-level voltage-source inverters,” JPE, Vol. 19, no. 5, pp. 1162–70, 2019.
   Google Scholar
• A.-R. Youssef, E. E. M. Mohamed, and A. I. M. Ali, “Model predictive control for grid-tie wind-energy conversion system based PMSG,” in International Conference on Innovative Trends in Computer engineering, 2018.
   Google Scholar
• T. Dragicevi, “A model predictive control of power converters for robust and fast operation of ac microgrids,” IEEE Trans. Power Electron., Vol. 33, no. 7, p. 1, 2017.
   Web of Science ®Google Scholar
• A. Tavakoli, M. Negnevitsky, and K. M. Muttaqi, “A decentralized model predictive control for operation of multiple distributed generators in an islanded mode,” IEEE Trans. Ind. Appl., Vol. 53, pp. 1466–75, 2017. doi: 10.1109/TIA.2016.2616396
   Web of Science ®Google Scholar
• G. Lou, W. Gu, Y. Xu, M. Cheng, and W. Liu, “Distributed MPC-based secondary voltage control scheme for autonomous droop-controlled,” IEEE Trans. Sustain. Energy, Vol. 8, pp. 792–804, 2017. doi: 10.1109/TSTE.2016.2620283
   Web of Science ®Google Scholar
• M. B. Shadmand, R. S. Balog, and H. Abu-Rub, “Model predictive control of PV sources in a smart DC distribution system: Maximum power point tracking and droop control,” IEEE Trans. Energy Convers., Vol. 29, pp. 913–21, 2014. doi: 10.1109/TEC.2014.2362934
   Web of Science ®Google Scholar
• J. A. Rohten, J. R. Espinoza, J. A. Muñoz, M. A. Pérez, P. E. Melin, J. J. Silva, E. E. Espinosa, and M. E. Rivera, “Model predictive control for power converters in a distorted three-phase power supply,” IEEE Trans. Ind. Electron., Vol. 63, pp. 5838–48, 2016. doi: 10.1109/TIE.2016.2527732
   Web of Science ®Google Scholar
• N. Jin, S. Hu, C. Gan, and Z. Ling, “Finite states model predictive control for fault tolerant operation of three-phase bidirectional ac/dc converter under unbalanced grid voltages,” IEEE Trans. Ind. Electron (2018). doi:10.1109/TIE.2017.2686342.
   PubMed Web of Science ®Google Scholar
• A. J. Babqi, and A. H. Etemadi, “MPC-based microgrid control with supplementary fault current limitation and smooth transition mechanisms,” IET. Gener. Transm. Distrib., Vol. 11, pp. 2164–72, 2017. doi: 10.1049/iet-gtd.2016.1387
   Web of Science ®Google Scholar
• S. Ebrahimpanah, Q. Chen, L. Zhang, and M. Adam, “Model predictive voltage control with optimal duty cycle for three-phase grid-connected inverter,” J. Control Sci. Eng., Vol. Article ID 8951794, pp. 13, 2019. doi:10.1155/2019/8951794.
   Google Scholar
• A. Tavakoli, M. Negnevitsky, and K. M. Muttaqi, “A Decentralized model predictive control for operation of multiple distributed generators in an islanded mode,” IEEE Trans. Ind. Appl., Vol. 53, no. 2, pp. 1466–75, 2017. doi: 10.1109/TIA.2016.2616396
   Web of Science ®Google Scholar
• P. Santiprapan, K. Areerak, and K. Areerak, “A novel harmonic identification algorithm for the active power filters in n-n ideal voltage source systems,” JPE, Vol. 17, no. 6, pp. 1637–49, 2017.
   Google Scholar
• Y. Ding, L. Wang, Y. Li, and D. Li, “Model predictive control and its application in agriculture: A review,” Comput. Electron. Agric., Vol. 151, pp. 104–17, August 2018. doi:10.1016/j.compag.2018.06.004.
   Web of Science ®Google Scholar
• A. Srivastava, and R. S. Bajpai, “An efficient maximum power extraction algorithm for wind energy conversion system using model predictive control,” Int. J. Energy Convers., Vol. 7, no. 3, pp. 93–107, May 2019. ISSN 2281-5295.
   Google Scholar