Rotor Field-Oriented Control of Doubly Fed Induction Generator in Wind Energy Conversion System

Year 2023, , 1217 - 1229, 01.09.2023

Zeki Omaç , İrfan Erdem

https://doi.org/10.35378/gujs.987303

Cited By: 1

Abstract

In this study, robust and high-performance vector control of a rotor side converter (RSC) was performed for stability and efficient operation doubly fed induction generator (DFIG) based on the variable speed wind turbine (VSWT). The mathematical model of the DFIG is simulated in the computer. Amplitude and frequency of the voltage in the DFIG were controlled for different values of load and variable speeds. In the experimental study, a DFIG-based wind turbine system was set up in the laboratory. The field position of the stator was detected from stator voltages by a phase-locked loop (PLL) circuit. The rotor position was measured with an incremental encoder connected to the rotor shaft of the DFIG. The angular position of the slip was calculated by the difference between the rotor and the stator field positions. The frequency and amplitude of rotor currents were determined with the angular position of slip. To generate output voltages of converter feeding rotor windings, the space vector pulse width modulation (SVPWM) technique was used. In the experimental study, the RSC was controlled with the DS1103 board. The prepared experiment set was tested at different operating speeds.

Keywords

Doubly Fed Induction, Generator Wind, Energy Rotor Field, Oriented Control

Supporting Institution

Munzur University Scientific Research Projects Unit

Project Number

YLMUB017-14

References

• [1] Nair, A. R., Bhattarai, R., Smith, M., and Kamalasadan, S., “Parametrically robust identification based sensorless control approach for doubly fed induction generator”, IEEE Transactions on Industry Applications, 57 (1): 1024-1034, (2021).
• [2] Jerin, A.R.A., Kaliannan, P., Subramaniam, U., Moursi, M.S.E., “Review on FRT solutions for improving transient stability in DFIG-WTs”, IET Renewable Power Generation, 12(15): 1786-1799, (2018).
• [3] Hu, J., Li, Y., Zhu, J., “Multi-objective model predictive control of doubly-fed induction generators for wind energy conversion”, IET Generation, Transmission & Distribution, 13(1): 21-29, (2019).
• [4] Karakasis, N., Tsioumas, E., Jabbour, N., Bazzi, A.M., Mademlis, C., “Optimal efficiency control in a wind system with doubly fed induction generator”, IEEE Transactions on Power Electronics, 34(1): 356-368, (2019).
• [5] Ouyang, J., Tang, T., Diao, Y., Li, M., Yao, J., “Control method of doubly fed wind turbine for wind speed variation based on dynamic constraints of reactive power”, IET IET Renewable Power Generation, 12(9): 973-980, (2018).
• [6] Chau, T.K., Yu, S.S., Fernando, T.L., Lu, H.H.C., Small, M., “A novel control strategy of DFIG wind turbines in complex power systems for enhancement of primary frequency response and LFOD”, IEEE Transactions on Power Systems, 33(2): 1811-1823, (2018).
• [7] Bhattarai, R., Gurung, N., Thakallapelli, A., Kamalasadan, S., “Reduced-order state observer-based feedback control methodologies for doubly fed induction machine”, IEEE Transactions on Industry Applications, 54(3): 2845-2856, (2018).
• [8] Abo-Khalil, A.G., Alghamdi, A., Tlili, I., Eltamaly, A.M., “Current controller design for DFIG-based wind turbines using state feedback control”, IET Renewable Power Generation, 13(11):1938-1948, (2019).
• [9] Moreira, A.B., Dos Santos Barros, T.A., Teixeira, V.S.C., Souza, R.R., Paula, M.V., Filho, E.R., “Control of powers for wind power generation and grid current harmonics filtering from doubly fed induction generator: Comparison of two strategies”, IEEE Access, 7: 32703-32713, (2019).
• [10] Hu, Y.L., Wu, Y.K., “Approximation to frequency control capability of a DFIG-based wind farm using a simple linear gain droop control”, IEEE Transactions on Industry Applications, 55(3):2300-2309, (2019).
• [11] Cai, L.J., Erlich, I., “Doubly fed induction generator controller design for the stable operation in weak grids”, IEEE Transactions on Sustainable Energy, 6(3):1078-1084, (2015).
• [12] Wu, C., Nian, H., “Stator harmonic currents suppression for DFIG based on feed-forward regulator under distorted grid voltage”, IEEE Transactions on Power Electronics, 33(2):1211-1224, (2018).
• [13] Kashkooli, M.R.A., Madani, S.M., Lipo, T.A., “Improved direct torque control for a DFIG under symmetrical voltage dip with transient flux damping”, IEEE Transactions on Industrial Electronics, 67(1): 28-37, (2020).
• [14] Tiwari, S.K., Singh, B., Goel, P.K., “Design and control of autonomous wind–solar system with DFIG feeding 3-phase 4-wire loads”, IEEE Transactions on Industry Applications, 54 (2):1119-1127, (2018).
• [15] Tiwari, S.K., Singh, B., Goel, P.K., “Control of wind–diesel hybrid system with BESS for optimal operation”, IEEE Transactions on Industry Applications, 55(2):1863-1872, (2019).
• [16] Song, Y., Blaabjerg, F., “Analysis of middle frequency resonance in DFIG system considering phase-locked loop”, IEEE Transactions on Power Electronics, 33(1):343-356, (2018).
• [17] Sarma, N., Tuohy, P.M., Apsley, J.M., Wang, Y., Dijurovic, S., “DFIG stator flux-oriented control scheme execution for test facilities utilising commercial converters”, IET Renewable Power Generation, 12(12):1366-1374, (2018).
• [18] Shao, H., Cai, X., Li, Z., Zhou, D., Sun, S., Guo, L., Cao, Y., and Rao, F., “Stability enhancement and direct speed control of DFIG inertia emulation control strategy”, IEEE Access, 7: 120089-120105, (2019).
• [19] Li, L., Nian, H., Ding, L., Zhou, B., “Direct power control of DFIG system without phase-locked loop under unbalanced and harmonically distorted voltage”, IEEE Transactions on Energy Conversion, 33 (1): 395-404, (2018).
• [20] Zhou, D., Zhang, G., Blaabjegr, F., “Optimal selection of power converter in DFIG wind turbine with enhanced system-level reliability”, IEEE Transactions on Industry Applications, 54(4): 3637-3644, (2018).
• [21] Kou, P., Liang, D., Li, J., Gao, L., Ze, Q., “Finite-control-set model predictive control for DFIG wind turbine”, IEEE Transactions on Automation Science and Engineering, 15(3):1004-1013, (2018).
• [22] Cruz, S.M.A., Marques, G.D., Gonçalves, P.F.C., Iacchetti, M.F., “Predictive torque and rotor flux control of a DFIG-DC system for torque ripple compensation and loss minimization”, IEEE Transactions on Industrial Electronics, 65(12): 9301-9310, (2018).
• [23] Yang, J., Tang, W., Zhang, G., Sun, Y., Ademi, S., Blaabjerg, F., “Sensorless control of brushless doubly fed induction machine using a control winding current MRAS observer”, IEEE Transactions on Industrial Electronics, 66(1):728-738, (2019).
• [24] Subudhi, B., Ogeti, P.S., “Optimal preview stator voltage-oriented control of DFIG WECS”, IET Generation, Transmission & Distribution, 12(4):1004-1013, (2018).
• [25] Moradi, H., Alinejad-Beromi, Y., Yaghobi, H., “Bustan D. Sliding mode type-2 neuro-fuzzy power control of grid-connected DFIG for wind energy conversion system”, IET Renewable Power Generation, 13(13):2435-2442, (2019).
• [26] Djilali, L., Sanchez, E.N., Belkheiri, M., “Real-time neural sliding mode field oriented control for a DFIG-based wind turbine under balanced and unbalanced grid conditions”, IET Renewable Power Generation, 13(4): 618-632, (2019).