Abstract
This paper presents the design and simulation of wind farm model using doubly-fed induction generation (DFIG) techniques and MATLAB platform. To control the output active power of DFIG, the rotor flux oriented vector has been used to improve the vector control strategy instead of stator flux oriented vector control. The rotor flux control technique provide better power tracking accuracy compared with traditional technique represented by stator flux vector control methods. The performance of DFIG under various wind farm grid disturbance has been evaluated and examined in this work. To overcome the stability of voltage in transmission system device, the implementation of dynamic reactive power compensators is used at the tip of ordinary combination to improve the DFIG during disturbances. This includes static VAR and synchronous compensators to improve the transient performance and keeping the turbine in services during the faults of grid. In term of time response, amount of reactive power injection and the cost of applications, the performance of both techniques has been compared and investigated. The suggested solution of integration between energy storage and GFIG grid connection shows better smoothing in the output power during wind rate variation. In addition, the principle of wind farm under twice fed asynchronous generation is connect through 3-phase converter type AC-DC-AC to the network and rotor.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zamzoum, O., et al.: Power control of variable speed wind turbine based on doubly fed induction generator using indirect field-oriented control with fuzzy logic controllers for performance optimization. Energ. Sci. Eng. 6(5), 408–423 (2018)
Bedoud, K., Rhif, A., Bahi, T., Merabet, H.: Study of a double fed induction generator using matrix converter: case of wind energy conversion system. Int. J. Hydrogen Energy 43(25), 11432–11441 (2017)
Mahmoud, M.S., Alyazidi, N.M., Abouheaf, M.I.: Adaptive intelligent techniques for microgrid control systems: a survey. Int. J. Electr. Power Energy Syst. 90, 292–305 (2017)
Moreira, A.B., Barros, T.A.S., Teixeira, V.S., Ruppert, E.: Power control for wind power generation and current harmonic filtering with doubly fed induction generator. Renew. Energy 107, 181–193 (2017)
Wickramasinghe, A., Perera, S., Agalgaonkar, A., Meegahapola, L.G.: Synchronous mode operation of DFIG based wind turbines for improvement of power system inertia. Renew. Energy 95, 152–161 (2016)
Raju, S.K., Pillai, G.N.: Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators. Renew. Energy 88, 40–50 (2016)
Rahimi, M.: Improvement of energy conversion efficiency and damping of wind turbine response in grid connected DFIG based wind turbines. Int. J. Electr. Power Energy Syst. 95, 11–25 (2018)
Beddar, A., Bouzekri, H., Babes, B., Afghoul, H.: Experimental enhancement of fuzzy fractional order PI+ I controller of grid connected variable speed wind energy conversion system. Energy Convers. Manage. 123, 569–580 (2016)
Aly, H.H.: Dynamic modeling and control of the tidal current turbine using DFIG and DDPMSG for power system stability analysis. Int. J. Electr. Power Energy Syst. 83, 525–540 (2016)
Ganjefar, S., Mohammadi, A.: Variable speed wind turbines with maximum power extraction using singular perturbation theory. Energy 106, 510–519 (2016)
Allouhi, A., Zamzoum, O., Islam, M.R., et al.: Evaluation of wind energy potential in Morocco’s coastal regions. Renew. Sustain. Energy Rev. 72, 311–324 (2017)
Ghoudelbourk, S., Dib, D., Omeiri, A.: New techniques to improve the power control in the double-fed induction generator wind turbine, wind engineering, 40(1) 2016
Hossain, M.M., Ali, M.H.: Future research directions for the wind turbine generator system. Renew. Sustain. Energy Rev. 49, 481–489 (2015)
Ghennam, T., Aliouane, K., Akel, F., Francois, B., Berkouk, E.M.: Advanced control system of DFIG based wind generators for reactive power production and integration in a wind farm dispatching. Energy Convers. Manage. 105, 240–250 (2015)
Ananth, D.V.N., Kumar, G.N.: Fault ride-through enhancement using an enhanced field oriented control technique for converters of grid connected DFIG and STATCOM for different types of faults. ISA Trans. 62, 2–18 (2016)
Mehdipour, C., Hajizadeh, A., Mehdipour, I.: Dynamic modeling and control of DFIG-based wind turbines under balanced network conditions. Int. J. Electr. Power Energy Syst. 83, 560–569 (2016)
Mahto, T., Mukherjee, V.: A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system. Energy 130, 339–350 (2017)
Civelek, Z., Lüy, M., Çam, E., Mamur, H.: A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation. Renew. Energy 111, 708–717 (2017)
Sudheer, H., Kodad, S.F., Sarvesh, B.: Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J. Electr. Syst. Inform. Technol. 2017, In press
Gupta, N., Garg, R.: Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid. Int. J. Hydrogen Energy 42(26), 16375–16385 (2017)
Yaakoubi, A., Asselman, A., Djebli, A., Aroudam, E.H.: A MPPT strategy based on fuzzy control for a wind energy conversion system. Proc. Technol. 22, 697–704 (2016)
Tir, Z., Malik, O.P., Eltamaly, A.M.: Fuzzy logic based speed control of indirect field oriented controlled double star induction motors connected in parallel to a single six-phase inverter supply. Electr. Power Syst. Res. 134, 126–133 (2016)
Salleh, Z., Sulaiman, M., Omar, R., Patakor, F.A.: Optimization of fuzzy logic based for vector control induction motor drives. In: 2016 8th Computer Science and Electronic Engineering (CEEC), pp. 83–88. IEEE (2006)
Ismail, M.M., Bendary, A.F.: Protection of DFIG wind turbine using fuzzy logic control. Alexandria Eng. J. 55(2), 941–949 (2016)
Kumar, D., Chatterjee, K.: A review of conventional and advanced MPPT algorithms for wind energy systems. Renew. Sustain. Energy Rev. 55, 957–970 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alzubaidi, O.H.A.A., Dawood, A.Q. (2022). Design and Simulation of Wind Farm Model Using Doubly-Fed Induction Generator Techniques. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-82616-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-82615-4
Online ISBN: 978-3-030-82616-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)