Position Sensorless Predictive Power Control of Doubly-fed Induction Generator Based on Rotor Current Model Reference Adaptive System

doi:10.11985/2021.04.013

Abstract

Abstract:

Doubly-fed induction generators have been widely used in wind power generation systems due to their low converter power, flexible active and reactive power control, and two way flow of energy. The existing vector control needs to tune multiple PI coefficients, and additionally needs to install a position sensor to obtain the rotor position and speed, which increases the volume and cost of the generator while reducing the reliability of the system. Therefore, a new solution that does not require PI setting and installation of position sensors is proposed. First, on the basis of analytically deriving the complex power differential on the stator side, the voltage reference value on the rotor side is directly calculated based on the idea of power deadbeat control without any controller setting work. Secondly, by comparing the measured rotor current with the estimated rotor current based on the stator flux current model, a position estimation method based on the rotor current model reference adaptive is constructed, thereby realizing the position sensorless control. The experimental results show that the method proposed can track the actual position and speed well under various working conditions such as sub-synchronization, super-synchronization and power step, and has excellent steady-state performance and fast dynamic response and provides the doubly-fed wind power generation system provides a low-cost, high-performance, and easy-to-apply solution.

Key words: Doubly-fed induction generator, position observer, deadbeat predictive control

CLC Number:

TM561

ZHANG Shengan, ZHANG Yongchang, JIAO Jian, JIANG Tao. Position Sensorless Predictive Power Control of Doubly-fed Induction Generator Based on Rotor Current Model Reference Adaptive System[J]. Journal of Electrical Engineering, 2021, 16(4): 101-107.

Figures/Tables 8

References 16

[1]	WANG X, SUN D. Three-vector-based low-complexity model predictive direct power control strategy for doubly fed induction generators[J]. IEEE Transactions on Power Electronics, 2017, 32(1):773-782. doi: 10.1109/TPEL.2016.2532387
[2]	JACOMINI R V, SGUAREZI FILHO A J. Finite control set applied to the direct power control of a DFIG operating under voltage sags[J]. IEEE Transactions on Sustainable Energy, 2019, 10(2):952-960. doi: 10.1109/TSTE.5165391
[3]	ZHANG Y, JIAO J, XU D. Direct power control of doubly fed induction generator using extended power theory under unbalanced network[J]. IEEE Transactions on Power Electronics, 2019, 34(12):12024-12037. doi: 10.1109/TPEL.63
[4]	KRZEMINSKI Z. Sensorless multiscalar control of double fed machine for wind power generators[C]// Proceedings of the Power Conversion Conference-Osaka 2002, 2002, 1(1):334-339.
[5]	TOUAITI B, AZZA H B, JEMLI M. A MRAS observer for sensorless control of wind-driven doubly fed induction generator in remote areas[C]// 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA),Sousse,Tunisia, 2016:526-531.
[6]	IWANSKI G, SZYPULSKI M, LUSZCZYK T, et al. Cross and dot product based MRAS observer of the rotor position of doubly fed induction machine[C]// Proceedings of 2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2014:1-5.
[7]	LU L, AVILA N F, CHU C, et al. Model reference adaptive back-electromotive-force estimators for sensorless control of grid-connected DFIGs[J]. IEEE Transactions on Industry Applications, 2018, 54(2):1701-1711. doi: 10.1109/TIA.28
[8]	MBUKANI M W K, GULE N. PLL-based sliding mode observer estimators for sensorless control of rotor-tied DFIG systems[J]. IEEE Transactions on Industry Applications, 2019, 55(6):5960-5970. doi: 10.1109/TIA.28
[9]	PUCHALAPALLI S, SINGH B. A novel control scheme for wind turbine driven DFIG interfaced to utility grid[J]. IEEE Transactions on Industry Applications, 2020, 56(3):2925-2937. doi: 10.1109/TIA.28
[10]	MARQUES G D, PIRES V F, SOUSA S, et al. A DFIG sensorless rotor-position detector based on a hysteresis controller[J]. IEEE Transactions on Energy Conversion, 2011, 26(1):9-17. doi: 10.1109/TEC.2010.2070507
[11]	陈燕东, 罗安, 彭自强, 等. 光伏并网发电与无功补偿的鲁棒预测控制[J]. 电工技术学报, 2013, 28(11):239-246,253.
	CHEN Yandong, LUO An, PENG Ziqiang, et al. Robust predictive control strategy for photovoltaic grid-connected generation and reactive power compensation[J]. Transactions of China Electrotechnical Society, 2013, 28(11):239-246,253.
[12]	孙丹, 方扬, 孙士涛, 等. 双馈异步风力发电机无差拍直接功率控制及延时补偿[J]. 电工技术学报, 2013, 28(11):70-77.
	SUN Dan, FANG Yang, SUN Shitao, et al. Dead-beat direct power control of doubly fed induction generators with delay compensation[J]. Transactions of China Electrotechnical Society, 2013, 28(11):70-77.
[13]	DATTA R, RANGANATHAN V T. Direct power control of grid-connected wound rotor induction machine without rotor position sensors[J]. IEEE Transactions on Power Electronics, 2001, 16(3):390-399. doi: 10.1109/TPEL.63
[14]	YANG S, AJJARAPU V. A speed-adaptive reduced-order observer for sensorless vector control of doubly fed induction generator-based variable-speed wind turbines[J]. IEEE Transactions on Energy Conversion, 2010, 25(3):891-900. doi: 10.1109/TEC.2009.2032589
[15]	ZHANG Y, ZHU J, XU W, et al. A simple method to reduce torque ripple in direct torque-controlled permanent-magnet synchronous motor by using vectors with variable amplitude and angle[J]. IEEE Transactions on Industrial Electronics, 2011, 58(7):2848-2859. doi: 10.1109/TIE.2010.2076413
[16]	杨俊华, 吕惠子, 吴捷, 等. 基于波波夫超稳定性的无刷双馈电机直接转矩控制[J]. 中国电机工程学报, 2009, 29(15):107-113.
	YANG Junhua, LÜ Huizi, WU Jie, et al. Direct torque control strategy for brushless doubly-fed machines based on Popov hyperstability theory[J]. Proceedings of the CSEE, 2009, 29(15):107-113.

系统参数	数值
电网电压u_g/V	150
额定功率P_s/W	1 500
额定频率f_s/Hz	50
极对数p	3
定子电阻R_s/Ω	4.57
定子漏感L_σs/mH	10.83
转子电阻R_r/Ω	3.228
转子漏感L_σr/mH	10.83
互感L_m/mH	214.57
定转子匝比k	3.36
直流母线电压U_dc/V	100