American Journal of Renewable and Sustainable Energy
Articles Information
American Journal of Renewable and Sustainable Energy, Vol.1, No.3, Sep. 2015, Pub. Date: Aug. 5, 2015
Optimal Power Control for Distributed DFIG Based WECS Using Genetic Algorithm Technique
Pages: 115-127 Views: 4605 Downloads: 2248
[01] Hanan M. Askaria, Egyptian Electricity Transmission Company, Abbasia Area, Cairo, Egypt.
[02] M. A. Eldessouki, Faculty of Engineering, Department of Elec. Power, University of Ain Shams, Cairo, Egypt.
[03] M. A. Mostaf, Faculty of Engineering, Department of Elec. Power, University of Ain Shams, Cairo, Egypt.
This paper presents an improved control strategy for both the rotor side converter (RSC) and grid side converter (GSC) of a distributed doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) using Genetic Algorithm (GA) technique. The primary objective of this control scheme is to track the optimal power extracted from the wind according to the power- speed curve characteristic of the wind turbine. Based on genetic algorithm technique, specific fitness functions related to both rotor and stator currents and voltages are presented in order to obtain the best values for controller gains of both RSC and GSC controllers in order to achieve an optimal output power and maintaining system dynamic stability. MATLAB /Simulink were used to build the dynamic model and simulate the system. The model performance was also compared with the detailed model developed by matlab simulink to show the validity of presented study.
Index Terms - DFIG, GA Technique, Objective Function, PI Controller
[01] Eriksen, P.B., Ackermann, T., Abildgaard, H., Smith, P., Winter, W., and Rodriguez Garcia, J.M.,‘System operation with high wind penetration’, IEEE Power Energy Mag., 2005, 3, (6), pp. 65–74.
[02] Dongkyoung Chwa and Kyo-Beum Lee, “Variable Structure Control of the Active and Reactive Powers for a DFIG in Wind Turbines”, IEEE Transactions on industry applications, Vol. 46, NO. 6, Nov/Dec 2010, 2545.
[03] Yamamoto, M., and Motoyoshi, O.,‘Active and reactive power control for doubly-fed wound rotor induction generator’, IEEE Trans. Power Electron., 1991, 6, (4), pp. 624–629.
[04] R. Datta and V. T. Ranganathan, “A simple position sensorless algorithm for rotor side field oriented control of wound rotor induction machine,” IEEE Trans. Ind. Electron. Soc., vol. 48, pp. 786–793, Aug. 2001.
[05] Rajib Datta and V. T. Ranganathan, “Direct Power Control of Grid-Connected Wound Rotor Induction Machine Without Rotor Position Sensors “, IEEE Transactions on power electonics, Vol. 16, No. 3, May 2001.
[06] Hassan Abniki1, Mahmood Abolhasani, and Mohammad Ehsan Kargahi, “Vector Control Analysis of Doubly-Fed Induction Generator in Wind Farms”, Energy and Power 2013, 3(2): 18-25 DOI: 10.5923/j.ep.20130302.02.
[07] Gilsung Byeon, and Gilsoo Jang , “Modeling and control of a doubly-fed induction generator (DFIG) wind power generation system for real-time simulations”, Journal of Electrical Engineering and Technology vol. 5, No. 1, pp. 61~69, 2010, 61.
[08] Amit Kumar Jain, and V. T. Ranganathan, “Wound Rotor Induction Generator With Sensorless Control and Integrated Active Filter for Feeding Nonlinear Loads in a Stand-Alone Grid”, IEEE Transaction on industrial electronics, vol. 55, No. 1, January 2008.
[09] Radia Abdelli, Toufik Rekioua, AbdelmounaïmTounzi, “Iomproved direct torque control of an induction generator used in a wind conversion system connected to the grid radia”, ISA Transactions52 (2013) 525–538.
[10] Hany M. Hasanien, Essam A. Al-Ammar, “Dynamic response improvment of doubly fed induction generator–based wind farm using Fuzzy logic controller”, Journal of Electrical Engineering, vol. 63, NO. 5, 2012, 281–288.
[11] Abido M. A., “Robust design of multimachine power system stabilizers using simulated annealing”,IEEE Trans Energy Conver 2000; 15(3): 297-304.
[12] Ruiz-Cruz R, Sanchez EN, Ornelas-Tellez F, Loukianov AG, “Particle Swarm Optimization for Discrete-Time Inverse Optimal Control of a Doubly Fed Induction Generator” , IEEE Trans Cybernet 2012; 99: 1-12.
[13] Adel A.A. Elgammal, “Optimal Design of PID Controller for Doubly-Fed Induction Generator-Based Wave Energy Conversion System Using Multi- Objective Particle Swarm Optimization”,Journal of Technology Innovations in Renewable Energy, 2014, 3, 21-30.
[14] João P. A. Vieira, Marcus V. A. Nunes and Ubiratan H. Bezerra (2011). “Using Genetic Algorithm to Obtain Optimal Controllers for the DFIG Converters to Enhance Power System Operational Security”, Wind Turbines,Dr. Ibrahim Al-Bahadly (Ed.), ISBN: 978-953-307-221-0, InTech, Available from:
[15] Ju, P., Handschin, E., and Reyer, F., ‘Genetic algorithm aided controller design with application to SVC’, IEE Proc., Gener. Transm. Distrib., 1996, 143, (3), pp. 258–262.
[16] Lansberry, J.E., and Wozniak, L., ‘Adaptive hydrogenator governor tuning with a genetic algorithm’, IEEE Trans. Power Syst., 1994, 9, (1), pp. 179–183.
[17] Hany M. Hasanien, and S. M. Muyeen., “Design Optimization of Controller Parameters Used in Variable Speed Wind Energy Conversion System by Genetic Algorithms”, IEEE Transactions on Sustainable Energy, vol. 3, NO. 2, April 2012.
[18] Qiao, W., Venayagamoorthy, G.K., and Harley, R.G., "Design of optimal PI controllers for doubly fed induction generators driven by wind turbines using particle swarm optimization". 2006 Int. Joint Conf. on Neural Networks, July 2006, Vancouver, BC, Canada, pp. 1982–1987.
[19] Abido, M.A., "Optimal design of power-system stabilizer using particle swarm optimization", IEEE Trans. Energy Convers., 2002, 17, (3), pp. 406–413.
[20] Wu F., Zhang X. P., Godfrey K., and Ju P., “Small Signal Stability Analysis and Optimal Control of a Wind Turbine with Doubly Fed Induction Generator”, IET Generation, Transmission and Distribution. Vol. 1, No. 5. pp. 751-760, 2007.
[21] Lei Tian, Qiang Lu, Wen-zhuo Wang, “A Gaussian RBF Network Based Wind Speed Estimation Algorithm for Maximum Power Point Tracking”, Lei Tian et al./ Energy Procedia 12 (2011) 828 – 836.
[22] Mathwork Matlab R2008.
[23] Jogendra Singh Thomas and Mohand Ouhrouche (2011). MPPT Control Methods in Wind Energy Conversion Systems, Fundamental and Advanced Topics in Wind Power,Dr. Rupp Carriveau (Ed.), ISBN: 978-953-307-508-2, InTech, Available from: in-wind-power/mppt-control-methods-in-wind-energy-conversion-systems.
[24] E. Bounadjaa, A. Djahbarb, Z. Boudjemac, "Variable structure control of a doubly fed induction generator for wind energy conversion systems",Energy Procedia 50 ( 2014 ) 999 – 1007.
[25] Soens, J. Driesen, J. Belmans, R., " A Comprehensive Model of a Doubly Fed Induction Generator for Dynamic Simulations and Power System Studies", in Proc. International Conference on Renewable Energies and Power Quality, Vigo, Spain, April 2003
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