Optimal Reference Power Tracking Of DFIG Converters Analysis at Low Wind Speedand Grid Disturbances Using Internal Model Controller

D.V.N. Ananth*
Assistant Professor, Department of Electrical Engineering, DADI Institute of Engineering and Technology, Anakapalli, India.
Periodicity:March - May'2017
DOI : https://doi.org/10.26634/jcir.5.2.13661

Abstract

A pitch angle control based MPPT for turbine is modeled and a sensor-less rotor speed and torque estimation are proposed in this paper. Rotor Side Converter (RSC) proposed helps to achieve optimal real and reactive power from generator, which keeps rotor to rotate at optimal speed and quickly vary current flow from rotor and stator terminals. Grid Side Converter (GSC) proposed helps to track grid reactive power demand or to setup synchronism when grid voltage changes with better response than earlier techniques. The RSC and GSC are designed based on characteristic look up table technique for identifying the grid and turbine operating conditions and give instructions accordingly. Here RSC and GSC control loops is designed depending on characteristic based lookup table techniques. These controllers are intended to maintain equilibrium in rotor speed, generator torque, and stator and rotor voltages. It is obtained using stator voltage, current and derived torque is used to track rotor speed. Moreover, it is desired to meet optimal reference real and reactive power during the turbulences like sudden change in voltage or reactive power with concurrently changing wind speed. The control of real and reactive powers is independent of the proposed technique. The sensorless controller can be connected or disconnected from running conditions. The Maximum Power Point Tracking (MPPT) algorithm with rotor converter is designed to improve mechanical power extraction from turbine – generator set. An internal model controller is used in place of conventional converters for better performance during disturbances. The performance of DFIG is compared to three cases, change from wind speeds, and alter in reactive power and in final case with variation in grid voltage.

Keywords

Doubly Fed Induction Generator (DFIG), Maximum Power Point Tracking (MPPT), Real and Reactive Power Control, Rotor and Grid Side Converter (RSC & GSC), Sensor-less Speed and Torque Estimation, Wind Energy Conversion System (WECS)

How to Cite this Article?

Ananth, D. V. N. (2017). Optimal Reference Power Tracking Of DFIG Converters Analysis at Low Wind Speed and Grid Disturbances Using Internal Model Controller. i-manager’s Journal on Circuits and Systems, 5(2), 1-19. https://doi.org/10.26634/jcir.5.2.13661

References

[1]. Aghanoori, N., Mohseni, M., & Masoum, M. A. (2011, November). Fuzzy approach for reactive power control of DFIG-based wind turbines. In Innovative Smart Grid Technologies Asia (ISGT), 2011 IEEE PES (pp. 1-6). IEEE.
[2]. Aktarujjaman, M., Haque, M. E., Muttaqi, K. M., Negnevitsky, M., & Ledwich, G. (2008, July). Control dynamics of a doubly fed induction generator under sub-and super-synchronous modes of operation. In Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE (pp. 1-9). IEEE.
[3]. Åström, K. J., & Hägglund, T. (1995). PID controllers: theory, design, and tuning (Vol. 2). Research Triangle Park, NC: Isa.
[4]. Bhuiyan, F. A., & Yazdani, A. (2010). Reliability assessment of a wind-power system with integrated energy storage. IET Renewable Power Generation, 4(3), 211-220.
[5]. Bragard, M., Soltau, N., Thomas, S., & De Doncker, R. W. (2010). The balance of renewable sources and user demands in grids: Power electronics for modular battery energy storage systems. IEEE Transactions on Power Electronics, 25(12), 3049-3056.
[6]. Cárdenas, R., Peña, R., Pérez, M., Clare, J., Asher, G., & Wheeler, P. (2006). Power smoothing using a flywheel driven by a switched reluctance machine. IEEE Transactions on Industrial Electronics, 53(4), 1086-1093.
[7]. Chwa, D., & Lee, K. B. (2010). Variable structure control of the active and reactive powers for a DFIG in wind turbines. IEEE transactions on Industry Applications, 46(6), 2545-2555.
[8]. Díaz, G. (2012). Optimal primary reserve in DFIGs for frequency support. International Journal of Electrical Power & Energy Systems, 43(1), 1193-1195.
[9]. Engelhardt, S., Erlich, I., Feltes, C., Kretschmann, J., & Shewarega, F. (2011). Reactive power capability of wind turbines based on doubly fed induction generators. IEEE Transactions on Energy Conversion, 26(1), 364-372.
[10]. Fan, L., Yin, H., & Miao, Z. (2011). On active/reactive power modulation of DFIG-based wind generation for interarea oscillation damping. IEEE Transactions on Energy Conversion, 26(2), 513-521.
[11]. Geng, H., & Yang, G. (2009). Robust pitch controller for output power levelling of variable-speed variable-pitch wind turbine generator systems. IET Renewable Power Generation, 3(2), 168-179.
[12]. Geng, H., Liu, C., & Yang, G. (2013). LVRT capability of DFIG-based WECS under asymmetrical grid fault condition. IEEE transactions on Industrial electronics, 60(6), 2495-2509.
[13]. Iwanski, G., & Koczara, W. (2008). DFIG-based power generation system with UPS function for variable-speed applications. IEEE Transactions on Industrial Electronics, 55(8), 3047-3054.
[14]. Kayikci, M., & Milanovic, J. V. (2007). Reactive power control strategies for DFIG-based plants. IEEE Transactions on Energy Conversion, 22(2), 389-396.
[15]. Kazmi, S. M. R., Goto, H., Guo, H. J., & Ichinokura, O. (2011). A novel algorithm for fast and efficient speed-sensorless maximum power point tracking in wind energy conversion systems. IEEE Transactions on Industrial Electronics, 58(1), 29-36.
[16]. Li, S., & Gu, H. (2012). Fuzzy adaptive internal model control schemes for PMSM speed-regulation system. IEEE Transactions on Industrial Informatics, 8(4), 767-779.
[17]. Lin, W. M., & Hong, C. M. (2011). A new Elman neural network-based control algorithm for adjustable-pitch variable-speed wind-energy conversion systems. IEEE transactions on power electronics, 26(2), 473-481.
[18]. Mathiesen, B. V., & Lund, H. (2009). Comparative analyses of seven technologies to facilitate the integration of fluctuating renewable energy sources. IET Renewable Power Generation, 3(2), 190-204.
[19]. Muljadi, E., & Butterfield, C. P. (2001). Pitch-controlled variable-speed wind turbine generation. IEEE Transactions on Industry Applications, 37(1), 240-246.
[20]. Poitiers, F., Bouaouiche, T., & Machmoum, M. (2009). Advanced control of a doubly-fed induction generator for wind energy conversion. Electric Power Systems Research, 79(7), 1085-1096.
[21]. Qiao, W., Zhou, W., Aller, J. M., & Harley, R. G. (2008). Wind speed estimation based sensorless output maximization control for a wind turbine driving a DFIG. IEEE transactions on power electronics, 23(3), 1156-1169.
[22]. Sen, P. C., & Ma, K. H. J. (1978). Constant torque operation of induction motors using chopper in rotor circuit. IEEE Transactions on Industry Applications, (5), 408-414.
[23]. Sharma, S., & Singh, B. (2012). Control of permanent magnet synchronous generator-based stand-alone wind energy conversion system. IET Power Electronics, 5(8), 1519-1526.
[24]. Shukla, R. D., & Tripathi, R. K. (2012, March). Low voltage ride through (LVRT) ability of DFIG based wind energy conversion system II. In Engineering and Systems (SCES), 2012 Students Conference on (pp. 1-6). IEEE.
[25]. Takahashi, R., Kinoshita, H., Murata, T., Tamura, J., Sugimasa, M., Komura, A., ... & Ide, K. (2010). Output power smoothing and hydrogen production by using variable speed wind generators. IEEE Transactions on Industrial Electronics, 57(2), 485-493.
[26]. Tapia, G., Tapia, A., & Ostolaza, J. X. (2007). Proportional–integral regulator-based approach to wind farm reactive power management for secondary voltage control. IEEE Transactions on Energy Conversion, 22(2), 488-498.
[27]. Zhi, D., & Xu, L. (2007). Direct power control of DFIG with constant switching frequency and improved transient performance. IEEE Transactions on Energy Conversion, 22(1), 110-118.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.