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Model predictive control of NPC three-level grid-tied converter based on reconstructed current

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The neutral point clamped (NPC) three-level grid-tied converter is the key equipment connecting renewable energy and power grids. The current sensor fault caused by harsh environment may lead to the split of renewable energy. The existing sensor fault-tolerant methods will reduce the modulation ratio index of the converter system. To ensure continuous operation of the converter system and improve the modulation index, a model predictive control method based on reconstructed current is proposed in this paper. According to the relationship between fault phase current and a voltage vector, the original voltage vector is combined and classified. To maintain the stable operation of the converter and improve the utilization rate of DC voltage, two kinds of fault phase current are reconstructed with DC current, normal phase current and predicted current, respectively. Based on reconstructed three-phase current, a current predictive control model is designed, and a model predictive control method is proposed. The proposed method selects the optimal voltage vector with the cost function and reduces time delay with the current reconstruction sector. The simulation and experimental results show that the proposed strategy can keep the NPC converter running stably with one AC sensor, and the modulation index is increased from 57.7% to 100%.
Rocznik
Strony
363--377
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
  • College of Electrical and Information Engineering, Zhengzhou University of Light Industry China
autor
  • College of Electrical and Information Engineering, Zhengzhou University of Light Industry China
autor
  • College of Electrical and Information Engineering, Zhengzhou University of Light Industry China
autor
  • College of Electrical and Information Engineering, Zhengzhou University of Light Industry China
  • Nanyang Cigarette Factory, China Tobacco Henan Industrial Co., Ltd. China
Bibliografia
  • [1] Erdiwansyah M., H Husin., Nasaruddin., A critical review of the integration of renewable energy sources with various technologies, Protection and Control of Modern Power Systems, vol. 6, no. 1, pp. 3945–3948 (2021), DOI: 10.1186/s41601-021-00181-3.
  • [2] Kaniewski J.Z., Power flow controller based on bipolar direct PWM AC/AC converter operation with active load, Archives of Electrical Engineering, vol. 68, no. 2, pp. 341–356 (2019), DOI: 10.24425/aee.2019.128272.
  • [3] Bouakoura M. et al., Novel speed and current sensor FDI schemes with an improved AFTC for induction motor drives, Advances in Electrical and Electronic Engineering, vol. 16, no. 1, pp. 1–14 (2018), DOI: 10.15598/aeee.v16i1.2573.
  • [4] Adamczyk M., Orlowska-Kowalska T., Virtual current sensor in the fault-tolerant field-oriented control structure of an induction motor drive, Sensors, vol. 19, no. 22 (2019), DOI: 10.3390/s19224979.
  • [5] Wang X.Q., Wang Z., Xu Z.X., Comprehensive diagnosis and tolerance strategies for electrical faults and sensor faults in dual three-phase PMSM drives, IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6669–6684 (2019), DOI: 10.1109/TPEL.2018.2876400.
  • [6] Nebeluk R., Marusak P., Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors, Archives of Control Sciences, vol. 30, no. 2, pp. 325–363 (2020), DOI: 10.24425/acs.2020.133502.
  • [7] Li Y., Diao F., Zhao Y., Simplified two-stage model predictive control for a hybrid multilevel converter with floating h-bridge, IEEE Transactions on Power Electronics, vol. 36, no. 4, pp. 4839–4850 (2021), DOI: 10.1109/TPEL.2020.3018956.
  • [8] Falkowski P., Sikorski A., Kulikowski K. et al., Model predictive control of power converters for robust and fast operation of AC microgrids, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 68, no. 1, pp. 51–60 (2020), DOI: 10.24425/bpasts.2020.131836.
  • [9] Teng Q., Xu R., Han X., Properties of active rectifier with LCL filter in the selection process of the weighting factors in finite control set-MPC, IEEE Transactions on Energy Conversion, vol. 35, no. 4, pp. 2249–2260 (2020), DOI: 10.1109/TEC.2020.3015984.
  • [10] Zhang Z.L., Xiao B.X., Sensor fault diagnosis and fault tolerant control for forklift based on sliding mode theory, IEEE Access, vol. 8, pp. 84858–84866 (2020), DOI: 10.1109/ACCESS.2020.2991188.
  • [11] Wang X.Q., Wang Z., Xu Z.X., Comprehensive Diagnosis and tolerance strategies for electrical faults and sensor faults in dual three-phase PMSM drives, IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6669–6684 (2019), DOI: 10.1109/TPEL.2018.2876400.
  • [12] Gong Z.F., Huang D.Q., Jadoon H.U.K., Sensor-fault-estimation-based tolerant control for singlephase two-level PWM rectifier in electric traction system, IEEE Transactions on Power Electronics, vol. 35, no. 11, pp. 12274–12284 (2020), DOI: 10.1109/TPEL.2020.2982689.
  • [13] Yao G., Li Y.Y., Li Q., Model predictive power control for a fault-tolerant grid-tied converter using reconstructed currents, IET Power Electronics, vol. 13, no. 6, pp. 1181–1190 (2020), DOI: 10.1049/ietpel.2019.0465.
  • [14] Jamel W., Khedher A., Ben O.K., Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults, International Journal of Modelling, Identification and Control, vol. 27, no. 1, pp. 22–30 (2017), DOI: 10.1504/IJMIC.2017.10003318.
  • [15] Li H.M., Yao H.Y., Hou S.H., Current sensor fault diagnosis and adaptive fault-tolerant control of PMSM drive system based on differential algebraic method, International Journal of Applied Electromagnetics and Mechanics, vol. 53, no. 3, pp. 551–565 (2017), DOI: 10.3233/JAE-160090.
  • [16] Yu Y., Zhao Y.Z., Wang B., Current sensor fault diagnosis and tolerant control for VSI-based induction motor drives, IEEE Transactions on Power Electronics, vol. 33, no. 5, pp. 4238–4248 (2018), DOI: 10.1109/TPEL.2017.2713482.
  • [17] Soukaina E.D., Loubna L., Mustapha A.L., Sliding mode approach applied to sensorless direct torque control of cage asynchronous motor via multi-level inverter, Protection and Control of Modern Power Systems, vol. 5, no. 1 (2020), DOI: 10.1186/s41601-020-00159-7.
  • [18] Jin N., Pan C., Li Y.Y., Model predictive control for virtual synchronous generator with improved vector selection and reconstructed current, Energies, vol. 13, no. 20 (2020), DOI: 10.3390/en13205435.
  • [19] Li J., Zhang D.F., Wang Z.Q., Novel MPC-based fault tolerant tracking control against sensor faults, Asian Journal of Control, vol. 22, no. 2, pp. 841–854 (2020), DOI: 10.1002/asjc.1966.
  • [20] Zhang H., Liang J., Zhang Z.Y., Active fault tolerant control of adaptive cruise control system considering vehicle-borne millimeter wave radar sensor failure, IEEE Access, vol. 8, pp. 11228–11240 (2020), DOI: 10.1109/ACCESS.2020.2964947.
  • [21] Ghanbarpour K., Bayat F., Jalilvand A., Wind turbines sustainable power generation subject to sensor faults: observer-based MPC approach, International Transactions on Electrical Energy Systems, vol. 30, no. 1 (2019), DOI: 10.1002/2050-7038.12174.
  • [22] Huang C., Naghdy F., Du H.P., Observer-based fault-tolerant controller for uncertain steer-bywire systems using the delta operator, IEEE-ASME Transactions on Mechatronics, vol. 23, no. 6, pp. 2587–2598 (2018), DOI: 10.1109/TMECH.2018.2820091.
  • [23] Zheng Y., Liu Z.L., Liu L.Y., Robust MPC-based fault-tolerant control for trajectory tracking of surface vessel, IEEE Access, vol. 6, pp. 14755–14763 (2018), DOI: 10.1109/ACCESS.2018.281734
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fa6f37c9-c81b-439a-b568-f729b87ee01d
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