Finite-Control-Set Model Predictive Control (FCS-MPC) for Islanded Hybrid Microgrids

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Yi, Zhehan ; Babqi, Abdulrahman J. ; Wang, Yishen ; Shi, Di ; Etemadi, Amir H. ; Wang, Zhiwei ; Huang, Bibin (2018)
  • Subject: Mathematics - Optimization and Control | Electrical Engineering and Systems Science - Signal Processing

Microgrids consisting of multiple distributed energy resources (DERs) provide a promising solution to integrate renewable energies, e.g., solar photovoltaic (PV) systems. Hybrid AC/DC microgrids leverage the merits of both AC and DC power systems. In this paper, a control strategy for islanded multi-bus hybrid microgrids is proposed based on the Finite-Control-Set Model Predictive Control (FCS-MPC) technologies. The control loops are expedited by predicting the future states and determining the optimal control action before switching signals are sent. The proposed algorithm eliminates the needs of PI, PWM, and droop components, and offers 1) accurate PV maximum power point tracking (MPPT) and battery charging/discharging control, 2) DC and multiple AC bus voltage/frequency regulation, 3) a precise power sharing scheme among DERs without voltage or frequency deviation, and 4) a unified MPC design flow for hybrid microgrids. Multiple case studies are carried out, which verify the satisfactory performance of the proposed method.
  • References (20)
    20 references, page 1 of 2

    [1] Z. Yi and A. H. Etemadi, “Line-to-line fault detection for photovoltaic arrays based on multiresolution signal decomposition and two-stage support vector machine,” IEEE Trans. Ind. Electron., vol. 64, no. 11, pp. 8546-8556, Nov 2017.

    [2] Z. Yi and A. H. Etemadi, “Fault detection for photovoltaic systems based on multi-resolution signal decomposition and fuzzy inference systems,” IEEE Trans. Smart Grid, vol. 8, no. 3, pp. 1274-1283, May 2017.

    [3] Z. Yi and A. H. Etemadi, “A novel detection algorithm for line-toline faults in photovoltaic (PV) arrays based on support vector machine (SVM),” in 2016 IEEE Power and Energy Society General Meeting (PESGM), July 2016, pp. 1-4.

    [4] D. Shi, X. Chen, Z. Wang, X. Zhang, Z. Yu, X. Wang, and D. Bian, “A distributed cooperative control framework for synchronized reconnection of a multi-bus microgrid,” IEEE Trans. Smart Grid, vol. PP, no. 99, pp. 1-1, 2017.

    [5] C. Yuan, M. A. Haj-ahmed, and M. S. Illindala, “Protection strategies for medium-voltage direct-current microgrid at a remote area mine site,” IEEE Trans. Ind. Appl., vol. 51, no. 4, pp. 2846-2853, July 2015.

    [6] A. Gupta, S. Doolla, and K. Chatterjee, “Hybrid AC-DC microgrid: Systematic evaluation of control strategies,” IEEE Trans. Smart Grid, vol. PP, no. 99, pp. 1-1, 2017.

    [7] S. Peyghami, H. Mokhtari, and F. Blaabjerg, “Autonomous operation of a hybrid AC/DC microgrid with multiple interlinking converters,” IEEE Trans. Smart Grid, vol. PP, no. 99, pp. 1-1, 2017.

    [8] P. Wang, C. Jin, D. Zhu, Y. Tang, P. C. Loh, and F. H. Choo, “Distributed control for autonomous operation of a three-port AC/DC/DS hybrid microgrid,” IEEE Trans. Ind. Electron., vol. 62, no. 2, pp. 1279-1290, Feb 2015.

    [9] Y. Xia, W. Wei, M. Yu, X. Wang, and Y. Peng, “Power management for a hybrid AC/DC microgrid with multiple subgrids,” IEEE Trans. Power Electron., vol. PP, no. 99, pp. 1-1, 2017.

    [10] T. Ma, M. H. Cintuglu, and O. A. Mohammed, “Control of a hybrid AC/DC microgrid involving energy storage and pulsed loads,” IEEE Trans. Ind. Appl., vol. 53, no. 1, pp. 567-575, Jan 2017.

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