Abstract
The rapidly increasing energy demand is compelling the humankind for an alternative source of electrical energy generation and that leads to one thought, which is nothing but employing renewable energy generation. The incorporation of renewable energy generation into the existing grid system overlooks at some of the technical challenges and difficulties. The modern wind power plants use the methodology of Doubly Fed Induction Generator (DFIG) based Wind Turbine Generator (WTG). This framework focuses on the performance of a new control mechanism incorporated with grid fused DFIG based WTG. The fuzzy-based Rotor Side Converter (RSC) is developed to achieve maximum power delivery from DFIG using slip frequency control mechanism. To assist the slip frequency control, the PI-based Grid Side Converter (GSC) of DFIG is also proposed to maintain constant DC link voltage under grid voltage variations. The efficacy of the controller is validated using MATLAB/Simulink for the different operating conditions such as varying wind speed, grid voltage variations, etc. A unique feature of the controller is that it adapts to variations in wind velocities for achieving Maximum power output. The laboratory prototype model of RSC and GSC converter controller is developed and the hardware setup along with the results are examined.
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Mohammadpour HA, Santi E (2015) Analysis of sub-synchronous resonance in doubly fed induction generator based wind farms. University of South Carolina
Fan L, Miao ZL (2015) An eBook on “Modelling and analysis of doubly fed induction generator wind energy systems”. Elsevier Ltd
Moharana A, Varma RK, Seethapathy R (2012) SSR mitigation in wind farm connected to series compensated transmission line using STATCOM. In: 2012 IEEE power electronics and machines in wind applications, Denver, pp 1–8
Pena R, Clare J, Asher G (1996) Doubly fed induction generators using back-to-back PWM converters and its application to variable speed wind energy generation. IEE Proc Electr Power Appl 143(3)
Li S, Haskew TA, Williams KA, Swatloski RP (2012) Control of DFIG wind turbine with direct-current vector control configuration. IEEE Trans Sustain Energy 3(1):1–11
Meng W, Yang Q, Sun Y (2016) Guaranteed performance control of DFIG variable-speed wind turbines. IEEE Trans Control Syst Technol 24(6):2215–2223
Fan L, Yuvarajan S (2008) Modeling and slip control of a doubly fed induction wind turbine generator. In: 2008 40th North American power symposium, Calgary, AB, pp 1–6
Mahalakshmi R, Viknesh J, Ramesh MG, Vignesh MR, Thampatty KCS (2016) Fuzzy logic based rotor side converter for constant power control of grid connected DFIG, In: 2016 IEEE international conference on power electronics, drives and energy systems (PEDES), Trivandrum, pp 1–6
Venu Madhav G, Obulesu YP (2014) A fuzzy logic control strategy for doubly fed induction generator for improved performance under faulty operating conditions. Int J Power Electr Drive Syst 4(4):419–429
Mahalakshmi R, Aswin Kumar A, Kumar A (2014) Design of fuzzy logic based maximum power point tracking controller for solar array for cloudy weather conditions. In: IEEE power and energy systems conference: towards sustainable energy, Bangalore, pp 1–4
Dida A, Attous DB (2014) Fuzzy logic control of grid connected DFIG system using back-to-back converters. Int J Syst Assur Eng Manag 8(1):129–136
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Appendix
Appendix
Rst—4.781 Ω | \(R^{\prime}_{\text{rt}}\)—3.91 Ω | Xls, Xlr—0.025H | Xm—0.46H |
Rated voltage—415 V | Rated power—3730 W | Rated speed—1440 rpm | Synchronous speed—1500 rpm |
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Mahalakshmi, R., Sindhu Thampatty, K.C. (2020). Slip Frequency Control Technique for DFIG Based Wind Turbine Generators. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-15-5558-9_107
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DOI: https://doi.org/10.1007/978-981-15-5558-9_107
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