Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Gupta, Neha; Singh, Yaduvir

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 6 (June 2017), Pages: 50-55

Title: Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Author(s): Neha Gupta *, Yaduvir Singh

Affiliation(s):

Department of Electrical Engineering, School of Engineering, Harcourt Butlar Technical University, Kanpur (U.P.), India

https://doi.org/10.21833/ijaas.2017.06.007

Full Text - PDF XML

Abstract:

In this paper, we have presented maximum power point tracking (MPPT) algorithm for variable speed fixed pitch (VSFP) wind power plant connected to grid. The wind power plant is based on squirrel cage induction generator (SCIG) fed by a matrix converter (MC). Matrix converter is a power electronic interface between generator and grid, which facilitates the mechanism of MPPT algorithm. For maximum power point tracking, we have used extremum seeking scheme, which, unlike other MPPT techniques is a non-model based MPPT algorithm. In this paper sinusoidal signal has been used as a search disturbance signal. The performance of the ES algorithm has been checked for different wind velocities. In the latter section of this paper, we have done stability analysis of extremum seeking for wind energy conversion system (WECS) using single perturbation method.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Wind generator, Extremum seeking, MPPT, Stability, SCIG

Article History: Received 8 December 2016, Received in revised form 29 April 2017, Accepted 29 April 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.06.007

Citation:

Gupta N and Singh Y (2017). Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS. International Journal of Advanced and Applied Sciences, 4(6): 50-55

http://www.science-gate.com/IJAAS/V4I6/Gupta.html

References:

Arani MFM and El-Saadany EF (2013). Implementing virtual inertia in DFIG-based wind power generation. IEEE Transactions on Power Systems, 28(2): 1373-1384. https://doi.org/10.1109/TPWRS.2012.2207972

Barakati SM (2008). Modeling and controller design of a wind energy conversion system including a matrix converter. Ph.D. Dissertation, University of Waterloo, Ontario, Canada.

Barote L, Marinescu C, and Cirstea MN (2013). Control structure for single-phase stand-alone wind-based energy sources. IEEE Transactions on Industrial Electronics, 60(2): 764-772. https://doi.org/10.1109/TIE.2012.2206346

Bratcu AI, Munteanu I, Ceanga E, and Epure S (2007). Energetic optimization of variable speed wind energy conversion systems by extremum seeking control. In the International Conference on "Computer as a Tool" EUROCON, IEEE: 2536-2541. https://doi.org/10.1109/eurcon.2007.4400523

Chen J, Chen J, and Gong C (2013). On optimizing the transient load of variable speed wind energy conversion system during MPP tracking process. IEEE Transaction on Industrial Electronics, 61(9): 4698-4706. https://doi.org/10.1109/TIE.2013.2293699

Ghaffari A, Krstic M, and Seshagiri S (2014). Power optimization and control in wind energy conversion systems using extremum seeking. IEEE Transactions on Control Systems Technology, 22(5): 1684-1695. https://doi.org/10.1109/TCST.2014.2303112

Khalil HK (1996). Noninear systems. Prentice-Hall, New Jersey, USA.

Komatsu M, Miyamoto H, Ohmori H, and Sano A (2001). Output maximization control of wind turbine based on extremum control strategy. In the Conference of the American Control, 2: 1739-1740. https://doi.org/10.1109/ACC.2001.945982

Krause PC, Wasynczuk O, Sudhoff SD, and Pekarek S (2013). Analysis of electric machinery and drive systems. John Wiley and Sons, New York, USA. https://doi.org/10.1002/9781118524336

Krstić M and Wang HH (2000). Stability of extremum seeking feedback for general nonlinear dynamic systems. Automatica, 36(4): 595-601. https://doi.org/10.1016/S0005-1098(99)00183-1

Kumar V, Joshi RR, and Bansal RC (2009). Optimal control of matrix-converter-based WECS for performance enhancement and efficiency optimization. IEEE Transactions on Energy Conversion, 24(1): 264-273. https://doi.org/10.1109/TEC.2008.2008921

Li S, Haskew TA, Williams KA, and Swatloski RP (2012). Control of DFIG wind turbine with direct-current vector control configuration. IEEE Transactions on Sustainable Energy, 3(1): 1-11. https://doi.org/10.1109/TSTE.2011.2167001

Luca AD and Ulivi G (1988). Dynamic decoupling of voltage frequency controlled induction motors. In the 8th International Conference on Analysis and Optimization of Systems, 111: 127–137. https://doi.org/10.1007/BFb0042208

Luca AD and Ulivi G (1989). Design of an exact nonlinear controller for induction motors. IEEE Transactions on Automatic Control, 34(12): 1304-1307. https://doi.org/10.1109/9.40783

Marino R, Peresada S, and Valigi P (1993). Adaptive input-output linearizing control of induction motors. IEEE Transactions on Automatic control, 38(2): 208-221. https://doi.org/10.1109/9.250510

Nguyen TH and Lee DC (2013). Advanced fault ride-through technique for PMSG wind turbine systems using line-side converter as STATCOM. IEEE Transactions on Industrial Electronics, 60(7): 2842-2850. https://doi.org/10.1109/TIE.2012.2229673

Pan T, Ji Z, and Jiang Z (2008). Maximum power point tracking of wind energy conversion systems based on sliding mode extremum seeking control. In the IEEE Energy 2030 Conference, IEEE: 1-5. https://doi.org/10.1109/ENERGY.2008.4781032

She X, Huang AQ, Wang F, and Burgos R (2013). Wind energy system with integrated functions of active power transfer, reactive power compensation, and voltage conversion. IEEE Transactions on Industrial Electronics, 60(10): 4512-4524. https://doi.org/10.1109/TIE.2012.2216245

Wang N, Johnson KE, and Wright AD (2013). Comparison of strategies for enhancing energy capture and reducing loads using LIDAR and feed forward control. IEEE Transactions on Control Systems Technology, 21(4): 1129-1142. https://doi.org/10.1109/TCST.2013.2258670

Zhang S, Tseng KJ, and Nguyen TD (2009). May. Modeling of AC-AC matrix converter for wind energy conversion system. In the 4th IEEE Conference on Industrial Electronics and Applications (ICIEA 2009). IEEE: 184-191. https://doi.org/10.1109/ICIEA.2009.5138193