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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1756 Wind Turbine System Connected to a Permanent Magnet Synchronous Generator Priyanka Rajawat1, Dr. Vijay Bhuria2 1PG Scholar, Dept. of Electrical Engineering, M.I.T.S Gwalior, India 2Assistant Professor, Dept. of Electrical Engineering, M.I.T.S Gwalior, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In today’s world electricity generation using renewable sources are more popular. It includes sunlight, wind, biomass, rain, tides, waves and geothermal heatetc.This paper presents a mathematical modelling and simulation of a small wind turbine for extracting wind power and convert the kinetic energy of wind to electrical energy using permanent magnet synchronous generator (PMSG) without using gear box. For implementing the model of wind turbine system, basic mathematical equations are carried out and the tool used is Simulink/MATLAB. The technique used is Zero d-axis control. The simulation results here demonstrate the effectiveness of proposed mathematical model of the small wind turbine to determine its dynamic behaviors. Key Words: Doubly fed induction generator (DFIG), Maximum power point tracking (MPPT), Permanentmagnet synchronous generator (PMSG), and Windturbinegenerator (WTG). 1. INTRODUCTION Power generation by renewable energy sources is becoming more popular and economical than the traditional generation system to supply reliable power in areas not served by conventional power grids. The demand of global energy in 2040 will expand to be about 30% higher than in 2010[1]. In the last fifteen years the penetration of the wind turbine power generation is dramatically increased world-wide [2]. The wind turbine system is one of the most known and used source of renewable energy. It has not only a several environmental and economic advantages, but also, it can be installed in all regions. Around 83% of wind capacities are located in these five countries, German, United State of America, Denmark, India and Spain [3-4]. The wind turbine system produces the electrical energy from the wind speed after converting it to mechanical energy by the generator. For this purpose, we can find several types of generators such as the permanent magnet synchronous generator (PMSG) [5] [6], squirrel-cage induction generator (SCIG) [7] [8], doubly fed induction generator (DFIG) [9][10][11][12], and wound rotor induction generator (WRIG). PMSG has received much attention in wind energy applicationbecause of their property of self-excitation, which allows an operation at a high power factor and high efficiency. There are so many researcherswhose main focusisonthedynamic modelling and simulation of the small wind turbine system so as to get its dynamic physical model and the appropriate outputs such as the current, the voltage, and the power. Further, many control strategies can be applied to control the permanent magnet synchronous generator in order to achieve good results. In [13], a novel control strategy for the extraction of maximum power and operationofdirectdriven PMSG based stand-alone variable speedwindturbinesystem is shown. In some papersthe wind turbine model dealswith the mechanism of variable speed operation of the turbineby a pitch control. As in [14], the modelled system consists of a PMSG model, a pitch-angled controlled wind turbine model and a drive train model. The control scheme include a pitch angle control and a speed control of the generator. The pitch angle control uses wind speed signals and power output of the generator as the inputs and vector control is implemented for the speed control of the generator in the dq-synchronous rotating reference frame. The field orientation is realized by setting id (ref) =0 and q-axis component of the current iq controls the rotational speed. In [15] a dynamic modelling and simulation of wind turbine connected to PMSG generator is shown and two different control techniquesare compare: the fractional-orderandthe classical control. This paper consists of four sections, in which section II shows the aerodynamic and the electrical dynamics of a PMSG generator with control technique i.e. Zero d-axis current control (ZDC). Section III and IV shows the simulation results of mathematical model and the overall conclusion. Installed capacity of wind turbine system from 2000-2017
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1757 2. AERODYNAMIC MODEL OF SMALL WIND TURBINE SYSTEM In this part we are going to study the mathematical model of a wind turbine system connected to PMSG generator and an AC load. PMSG AC LOAD WIND TURBINE Fig.2.Wind turbine system connected to PMSG generator. The whole wind turbine system consists of: • Wind turbine. • PMSG generator. • AC load. Generally in grid connected wind turbine system, power electronic converters are required but here in this paper the wind turbine system isdirectly connected to ACloadwithout the power electronic converter. (Fig 2) 2.1 MODELLING OF THE WIND TURBINE The mechanical power captured by the wind turbine is given by Eq (1) ………………..... (1) Where, p = 1.225 is the air density, R (m) is the blade radius and Vw (m/s) is the wind speed. Cq represents the torque coefficient. It can be computed using Eq (2) ……… (2) Where, ………………….……... (3) The following coefficients were obtained: C1=0.5176, C2=116, C3=0.400, C4=4, C5=21, C6=0.0068 Where is the pitch angle and is the tip speed ratio, and given as Eq (4) …………….………………………….. (4) (rad/s) is the rotor speed. The power coefficient Cp can be given by Eq (5) ……………………………………. (5) The torque of the turbine Tw (N.m) can be obtainedbyEq(6) ………………………. (6) 2.2 MODELING OF THE PMSG GENERATOR The electromagnetic torque produced by the PMSG generator is given by Eq (7): ………..…. (7) Where, P is the number of pole pairs, 𝐿𝑑 (H) and 𝐿𝑞 (H) are the 𝑑𝑞-axisself-inductanceof the synchronousgenerator and 𝜆𝑟 (Wb (rms)) is the rotor flux linkages. 𝑖𝑑𝑠 And 𝑖𝑞𝑠 present the 𝑑𝑞-axisstatorcurrentofthePMSG generator: ………………….…. (8) ……....(9) 𝑅𝑠 is the stator winding resistance of the PMSG generator. 𝑣𝑑𝑠 and 𝑣𝑞𝑠 present the 𝑑𝑞-axis stator voltage: ……………….…... (10) ……. (11) Where, 𝜔𝑟 (rad/s) is the rotor speed. It can be written by using Eq (12). …………………………. (12) 𝐽 is the moment of inertia.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1758 2.3 CONTROLLING SCHEME (ZERO D-AXIS CURRENT CONTROL) here are several control schemes are used to control PMSG generator. In this paper a zero d-axis current (ZDC) control is applied, where the d-axis stator current of the generator 𝑖𝑑𝑠 is set to zero. The electromagnetic torque is given as (13): …………….……….(13) Where, the stator current 𝑖𝑠 calculated as: …………….…………(14) The 𝑑𝑞-axis stator reference current of the PMSG generator is given as: ………………..……….…….(15) 0 ……………………………………….….. (16) Where, Te* is the torque reference and given as: …………………………………….…. (17) The 𝑑𝑞-axis stator current and voltage of the PMSG generator can be written, by the following equation. …………………………….. (18) …………...(19) ……………………………………….. (20) ………………………………………… (21) Rs (ohm) is the stator winding resistance of the PMSG generator. The mechanical power of the PMSG generator is givenbythe Eq (22). ………………………. (22) Tm is the mechanical torque and 𝜔m is the rotor mechanical speed. Here the mechanical speed is equal to the rotor electrical speed 𝜔𝑟 because of no gearbox. The active power delivered to the load: ………………………………….(23) ………………….…….. (24) Where Pcu,s is the stator winding loss: ……………………………………… (25) The reactive power delivered to the load is determined by using Eq (26). ……………….. (26) and are rms stator current and voltage: ………………………………… (27) ………………………………... (28) PMSG (3P/ 2)*λr.is K.Wr^2 PI (P/J)(Tw- Te) 2/(3.P.λr) PI iqs Iqs* ids Ids* Te*Wr Te Tw Is,vs Fig 3.ZDC control scheme of PMSG generator. In this paper ZDC control strategy is used, in which d-axis stator current is made zero to get maximum torque with a minimum stator current. The ZDC control scheme of the PMSG generator is shown in fig.3. 3. SIMULATION RESULTS The model Simulink of the wind turbine systemconnectedto a PMSG generator during 10 s is shown in fig.4. It is carried out using MATLAB/Simulink.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1759 Fig.4. Model Simulink of wind turbine system. Figure 5 presents the model Simulink showed below the block “wind turbine” where its input parameters are the wind speed, pitch angle, which is equal to zero, and the generator speed which is equal to the rotor speed generated by the PMSG generator. Fig.5. Model Simulink under block “wind turbine”. The model Simulink below the block “PMSG” generator is plotted in Fig.6. Its Input parameter is the torque generated by the wind turbine and the output parameter are the rotor speed, electromagnetic torque, current, voltage, and mechanical, active and reactive power. Fig.6. Model Simulink under block “PMSG” The parametersof the wind turbine system are summarized in Table 1. Table -1: Parameters of Wind Turbine System Maximum wind speed 18.73 (m/s) Pitch angle 0 deg C 2.245 m Stator winding resistance of synchronous generator 2.87 ohm dq-axis self-inductance of synchronous generator. 0.05297 H Number of pole pairs 2 Rotor flux linkages 6.7302 Wb rms) Moment of inertia 0.1278 The most important parameter of wind turbine system is wind speed. Its variation is shown in Fig.7. Time (second) Fig.7.variation of wind speed. Fig.8 shows the variation of torque Tw (Nm) generated by wind turbine system. Time (second) Fig .8. Variation of torque generated by wind turbine
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1760 Time (second) Fig.9. Variation of mechanical power Time (second) Fig.10. Variation of active power Time (second) Fig.11. Variation of reactive power Time (second) Fig.12. Variation of current Time (second) Fig.13. Variation of voltage The simulation result show that the mechanical and active power vary according to the variation of wind speed. The maximum wind speed is 18.7 m/s. 3. CONCLUSION Simply, the enhancement of the renewable energy is the intension of numerous studies concerning its advantages in terms of efficiency, reliability and cost. The wind system is considered one of several power supplies which is used to supply energy with reduced pollution. This papersobjective is to expand a dynamic model of a small wind turbinesystem primarily based on PMSG generator. The simulation results display the efficiency of shown mathematical model to decide the expected dynamic behaviors along with: voltage, current and electricity using MATLAB/simulation. REFERENCES [1] J. Dashwood, “Australia’s Energy Options: Renewables and efficiency,” Aust. Energy Options Renewables Effic., no. May, pp. 45–52, 2012. [2] J. S. Thongam, P. Bouchard, R. Beguanne, A. F. Okou, A. F. Merabet, “Control of variable speed wind energy conversion system using a wind speed sensorless optimum speed MPPT control method”, in Proc. 37th Annual Conference on IEEE Industrial Electronics Society, IECON 2011, Melbourne, Australia, 70-10 Nov., 2011, pp. 855-860. [3] T. Ackermann. “Wind Power in Power Systems. New York: John Wiley &Sons, 2005. [4] The American Wind Energy Association. (2004 March). “Global Wind Power Growth Continues to strengthen [online]. Available: http://www.ewea.org. [5] M. A. Badr, A. M. Atallah, and M. A. Bayoumi, “Comparison between Aggregation Techniques for PMSG Wind Farm,” Energy Procedia, vol. 74, pp. 1162– 1173, 2015.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 08 | Aug 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1761 [6] X. Yang, X. Gong, and W. Qiao, “Mechanical sensorless maximum power tracking control for direct-drivePMSG Wind turbines,” 2010 IEEE EnergyConvers.Congr.Expo. ECCE 2010 - Proc., pp. 4091– 4098, 2010. [7] B. Wu, Y. Lang, N. Zargari, and S. Kouro, Power Conversion and Control of Wind Energy Systems. 2011. [8] M. Quan, F. Grimaccia, S. Leva, M. Mussetta, and E. Ogliari, “Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system,” Renew. Energy, 2014. [9] J. J. Justo, F. Mwasilu, and J.-W. Jung, “Doubly-fed induction generator based wind turbines: A comprehensive review of fault ridethrough strategies,” Renew. Sustain. Energy Rev., vol. 45, pp.447–467,2015. [10] A. El-Naggar and I. Erlich, “Analysis of fault current contribution of Doubly-Fed Induction Generator Wind Turbines during unbalanced grid faults,”Renew.Energy, vol. 91, pp. 137–146, 2016. [11] S. A. A. Shahriari, M. Raoofat, M. Mohammadi, M. Dehghani, and M. Saad, “Dynamic state estimation of a doubly fed induction generator based on a comprehensive nonlinear model,” Simul. Model. Pract. Theory, vol. 69, pp. 92–112, 2016. [12] G. Sarwar, J. Wang, and M. Hussain, “Active and reactive power control of the doubly fed induction generator based on wind energy conversion system,” Energy Reports, vol. 2, pp. 194–200, 2016. [13] R. Melício1, V.M.F. Mendes2, J.P.S. Catalão1, “Dynamic Stability of Wind Turbines with Permanent Magnet Machines and Power-Electronic Converters,”IEEE2009. [14] A.G.Sanchez, M.G.Molina, A.M Rizzato Lede, “Dynamic model of wind energy conversion systems with PMSG- based variable –speed wind turbines for power system studies,” International journal of hydrogen energy (2012). [15] M.Seixas,R. melicio, and V.M.F.Mendes, “simulation by discrete mass modeling of offshore wind turbinesystem with DC link,”int.J.Mar.energy,vol.14,pp.80-100,2016.
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