International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
46
Blade Pitch Angle Controlling of WT for Constant Power Generation Using PMSG
1
Saurabh Goel,
2Durgesh kumar
1
PG Scholar Electrical Engineering Department,SVS University Meerut
2
Assistant Professor Electrical Engineering Department,SVS University Meerut [email protected]
Abstract—Blade pitch angle control technique in Wind Turbine (WT) operation is very urgently require for gaining a constant output torque for stability of WT system. Therefore, accurate and effective controlling technique is described and implemented to attain constant torque of WT. A suitable controlling approach i.e. Proportional-Integral (PI) based blade pitch angle control is designed and considered for performance investigation in terms of torque stability and response time. The proposed system is implemented in MATLAB/Simulink environment. The performance of the system with these control techniques is investigated under variable wind speed conditions such as step and random variations. However, the performance of the system is found satisfactory with the PI controller.
Keywords
—
Wind energy, PI controller, PMSG, Pitch angle control technique, Renewable energy.I. INTRODUCTION
The demand of electrical energy is full fill by fossil fuels resources so their consumption rate is increasing exponentially also. There is urgent need to explore more alternative energy sources [1]. In this context, the renewable energy (RE) sources such as solar, wind turbine, fuel cell etc, are the best available options. Before the invention of the diesel, petrol and gases etc., wind power was primarily used for applications e.g. sailing ships, irrigation applications etc.
Now-a-days, a research interest is totally focussed on electricity generation through RE sources [2]. Wind power is utilized in various purposes e.g. agricultural activities, water transportation and electricity production etc. [3]. Wind power is reported as the fastest growing RE source in various types of RE sources.
The authors of [4-5] gave a concept on the controlling of wind turbine (WT) using the fuzzy logic controller (FLC) for gaining the maximum power at consumer side. The authors have also shown pitch angle controlling to the WT is suitable for the low level wind speed regions also. In [6], the authors have discussed a WT model and the mechanical torque is produced by the WT. The constant pitch angle of WT has been used for the purpose of electric power generation with
turbine generator system (WTGS) connected with a variable speed turbine generator.
The motivation of above literature review is forced to add the research novelty in this paper. Furthermore, an performance enhancement and comparative study of proportional-integral based control scheme is proposed for blade pitch angle control for torque optimization in WT system.
II. SYSTEM DESCRIPTION
The complete system is comprises mainly three major parts (a) Wind Turbine (b) Permanent magnet synchronous generator (c) Blade pitch angle controlling techniques (i) PI controller. The schematic diagram of complete system is shown in Fig. 1 as,
Fig. 1 Block diagram of blade pitch angle control of WT system.
The paper is scheduled as. In section III, the mathematical modeling of WT is presented. In section IV, PMSG is discussed. In section V, blade pitch angle control scheme is given. Furthermore, the results are reported in section VI and in last section VII concludes the paper briefly.
III. MODELING OF WIND TURBINE
A WT is a system that is used for converting the kinetic energy of wind into mechanical energy. The WT can function at steady speed with changeable blade pitch angle control that allows the system to generate the electrical power.
The wind power is derived in Eq. (1) as, permanent magnet synchronous generator (PMSG), but in 1 3
realistic condition wind has dynamic nature at all regions and Pwind A
Vw2 (1)
times. In [7-8], the authors presented the dynamic model of Wind Energy Conversion System (WECS) using PMSG system, and the authors investigated and found that the wind
Where, A is the swept area of WT blades,
is
the air density and Vw is wind speed (m/s).PI controller
Error signal
refWind Turbine
actTorque
Sensor PMSG
International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
47
i
The power and torque equations of a wind turbine are Where tem is the electromagnetic torque of the expressed in Eq. (2)-(3). The mechanical power (Pm) of the
WT can be calculated as, generator, and id and iq are the currents on d-q axis, and
f is the permanent magnetic flux.P 1
AC V 3m 2 p w
(2) V. B LADE PITCH ANGLE CONTROLLER The mechanical torque is calculated in Eq. (3) as, A. Proportional - Integral controller
T 1
AC V 2 R(3)
m 2 p w G
Where, Cp is performance of coefficient, R is rotor radius, G is gear ratio,
is tip speed ratio (TSR).The non-linear and dimensionless Cp is expressed in Eq.
(4)-(5) as [10],
The addition of proportional and integral gain increases the speed of the response and also to minimize the steady state error [12]. The block diagram of PI controller is shown in Fig.
2 as,
k 5
C
k k2k
k e i k
(4)p ( , ) 1
3 4 6 1 1i
0.035 (5) Fig. 2 Block diagram of PI controller.
0.08
3 1The tip speed ratio
is expressed in Eq. (6) as the ratio between the speed of the tips of the blades of a WT and theThe PI controller equation is given in Eq. (13) as,
d
Kpe(t) Ki
e(t)dt (13)wind speed. Where, Kp and Ki are used to control the steady state
V
R
= Vtip w = Vw(6) response and outputs of the system. The input of the PI controller is the error between Tref and Tactual and the output is Where, ω is the WT blade angular velocity (rad/s),
ispitch angle of the blade.
The new power coefficient equation is derived in Eq. (7) as [10],
change in blade pitch angle [13, 14].
VI. RESULTS AND DISCUSSION
The proposed system is simulated in MATLAB/Simulink.
The performance of the system under consideration is
116 210.735 analyzed for the PI controller under different wind speed Cp (
) 0.5176
9.06 e .0068
(7)
IV. PMSG
Permanent magnet synchronous generators are utilized for various commercial purposes in wide range. They are commonly used to convert the mechanical power output of turbines i.e. steam, gas and wind turbines into electrical power [11]. The mathematical model of the PMSG in the state equation form is given by Eq. (8)-(9) as,
condition, pitch angle, turbine torque and PMSG stator currents, rotor speed and electromagnetic torque. All the results are reported as,
System performance with PI controller for step wind speed pattern
System performance with controller for random wind speed pattern
A. System performance with PI controller did
1
(R i
(L L )i u ) (8) The transient response of various quantities with PI dt Lds Llss d e qs ls q d
controller is shown below for step change wind speed pattern.
The difference of wind speed is shown Fig. 3. The wind is diq
1 (R i
(L L )i u ) (9) varied in the range of 11-15 m/s. Both the cases of stepdt Lqs Lls s q e qs ls d q increase and decrease wind speed from reference point are
Where, R is the stator resistance, Ld and Lq are the inductances of the generator on the d and q axis and Lls is the leakage inductance of the generator, and ωe is the electrical rotating speed ( rad/s) of the generator, defined by the Eq. (10) as,
considered. This pattern of wind speed variation is applied to the systems with PI controller.
e p
g (10)Where, p is the pole pairs of the PMSG. The electromagnetic torque equation of PMSG is given by Eq. (11) as,
tem 1.5 p((Lds Lls )id iq iq
f ) (11)Proportional
Intergral gain Error
T
+ d
-
Tactual
International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
48
Rotor speed (rad/sec) Stator current I (amp) abc 16
10
14 5
0
12 -5
10
0 5 10 15
Time (sec)
-10
0 5 10 15
Time (sec) Fig. 3 Variable wind speed step pattern
When the wind speed pattern as shown in Fig. 3 is applied to the system, the change in pitch angle dβ and according change in torque is shown in Fig. 4(a)-(b) respectively. It is evident from Fig. 4(a) that increase in wind speed results into corresponding increase in pitch angle to maintain the torque at reference value. Similarly decrease in wind speed results into corresponding decrease in pitch angle to keep the torque at reference point. The effectiveness of PI controller is evident from this figure to track reference torque under variable wind speed conditions. The gain of PI controller is obtained using hit and trial method.
13
10 5 0 -5 -10
(a) Stator current Iabc (A)
2 2.002 2.004 2.006 2.008 2.01
Time (sec)
(b) Enlarge view of stator current (A)
12 800
11
600 10
9 400
8
-10
0 5 10 15
Time (sec) (a) Blade pitch angle (0)
200
0 5 10 15
Time (sec) (c) Rotor speed (rad/sec)
-15 -10
-20 -14
-25
0 5 10 15
Time (sec)
-18
-2
The stator currents (Iabc), rotor speed and electromagnetic torque of PMSG used in the system with PI conroller are shown in Fig. 5(a)-(d) as,
(d) EM torque of PMSG
Fig. 5(a)-(d) stator current, rotor speed and, electromagnatic torque of PMSG with PI controller.
It is observed from Fig. 6(a)-(c) that stator currents, rotor speed and electromagnetic torque of PMSG are constant with some transient at the time when there is a change in torque.
These transients are settled down quickly under the influence
WT torque (Nm)Blade pitch angle (o) Wind speed (m/s) Stator current I (amp) abc EM torque (Nm)
(b) WT torque (Nm) 2
0 5 10 15
Fig. 4(a)-(b) Transient response of pitch angle and torque with PI controller.
Time (sec)
International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
49
of PI controller used in the system. The overshoot in statorcurrents, rotor speed and EM torque at 8 sec is quite significant and observable due to large change in wind speed from 10 m/s to 15 m/s. Fig. 4 to 5 shows the satisfactory performance of considered system with PI controller.
Voltage, current and power at 3-phase resistive load is shown in Figure 7(a)-(c) as,
2000
1000
0
12
10
8
6
4
0 5 10 15
Time (sec) Fig. 8 Variable wind speed pattern
-1000
-2000
10 5
0 -5 -10
0 5 10 15
Time (sec) (a) Load voltage (V)
When the random wind speed pattern as shown in Fig. 8 is applied to the system, the change in pitch angle dβ and according change in torque is shown in Fig. 9(a)-(b) respectively. It is evident from Fig. 9(a) that increase in wind speed results into corresponding increase in pitch angle to maintain the torque at reference value. Similarly decrease in wind speed results into corresponding decrease in pitch angle to keep the torque at reference point. The effectiveness of PI controller is evident from this figure to track reference torque under variable wind speed conditions. The gain of PI controller is obtained using hit and trial method.
-0.8
-0.85
0 5 10 15
Time (sec) (b) Load current (A)
-0.9
-0.95 12000
8000 4000 0 -4000 -8000 -12000
0 5 10 15
Time (sec) (c) Load power (W)
-1
-12
-13
-14
0 5 10 15
Time (sec) (a)
Fig. 7(a)-(c) Load voltage, current and power
B. System performance with PI controller for random wind speed pattern
The transient response of various quantities with PI controller is shown below for random change wind speed
-15
-16 0 5 10 15
Time (sec) (b) WT torque (Nm) pattern. The difference of wind speed is shown Fig. 15. The
wind is varied in the range of 5.8-11.7 m/s. Both the cases of step increase and decrease wind speed from reference point are considered. This pattern of wind speed variation is applied to the systems with PI controller.
Fig. 9(a)-(b) Transient response of pitch angle and WT torque
The stator currents (Iabc), rotor speed and electromagnetic torque of PMSG used in the system with PI controller are shown in Fig. 10(a)-(c) as,
Load power (watt) Load voltage (volt) Load current (amp) Wind speed (m/s) Blade pitch angle (o) WT torque (Nm)
International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
50
10
5
0
-5
-10 0 5 10 15
Time (sec) (a) Stator current Iabc (A)
constant with low transient at the time when there is a change in torque. The transients are very low under the influence of PI controller used in the system. This random wind speed pattern is not effective on PMSG performance.
Voltage, current and power at 3-phase resistive load is shown in Figure 11(a)-(c) as,
1000 500
0 -500 10
-1000 5
0
0 5 10 15
Time (sec) (a) Load voltage (V)
-5
-10
350 340 330 320
1 1.002 1.004 1.006 1.008 1.01 Time (sec)
(b) Enlarge view of stator current Iabc (A)
5
0
-5
0 5 10 15
Time (sec) (b) Load current (A)
310
300 0 5 10 15
Time (sec) (c) Rotor speed (rad/sec)
4000
2000
0
-14 -14.2 -14.4 -14.6 -14.8
-2000
-4000
0 5 10 15
Time (sec) (c) Load power (W) Fig. 18(a)-(c) Load voltage, current and power
VII. CONCLUSIONS
-15 0 5 10 15
Time (sec) (d) EM torque (rad/sec)
In this paper, a study of WT based WECS has been carried out. The real value system model of WT along with the system components are built in MATLAB/Simulink environment. With the simulation of the complete WECS Fig. 10(a)-(d) Stator current, rotor speed and, EM torque of PMSG with PI
controller.
It is observed from Fig. 10(a)-(c) that stator currents, rotor speed and electromagnetic torque of PMSG are almost
using MATLAB/Simulink model, all the results have been obtained for PI based controller. A comparative study of step change and random pattern of wind speed is done for the system.
Rotor speed (rad/sec) Stator current I (amp) EM torque (Nm) Stator current I (amp) abc abc Load power (watt) Load voltage (volt) Load current (amp)
International Journal of Advanced Engineering Science and Technological Research (IJAESTR) ISSN: 2321-1202, www.aestjournal.org @2015 All rights reserved
51
The simulation results shows that the reference torque isconveniently achieved by adjusting the blade pitch angle by PI based controller. It is observed that the small random change in wind speed is less disturbed to the WT system in compare to the step change pattern of wind speed.
REFERENCES
[1] N. Yamamura, M. Ishida, T. Hori, “A Simple Wind Power Generating System with Permanent Magnet Type synchronous generator‖,” in Proc. IEEE International Conference on Power Electronics and Drive Systems, at PEDS ’99, Hong Kong ,on Jul. 1999, pp. 34-39.
[2] R. K. Pachauri and Y. K. Chauhan, “Assessment of Wind Energy Technology Potential in Indian Context,” International Journal of Renewable Energy Research, vol.2, no.4, pp. 774-780, Dec. 2012.
[3] P. Badoni, S. B. Prakash, “Modeling and Simulation of 2 MW PMSG Wind Energy Conversion Systems,” Journal of Electrical and Electronics Engineering, vol. 9, no. 4, pp. 53-58, Aug. 2014.
[4] A. Musyafa et al., “Pitch Angle Control of Variable Low Rated Speed Wind Turbine Using Fuzzy Logic Controller,” International Journal of Engineering & Technology, vol. 10, no. 5, pp. 22-25, Oct. 2010.
[5] S. A. Khan, M. I. Hossain and M. J. Hossain, “Fuzzy Logic Based Control Scheme for Power Optimization of a Small Wind Turbine System with DC-DC Converter,” International Journal of Electronics &
Communication Technology, vol. 2, no. 2, pp. 18-21, Jun. 2011.
[6] A. Rolan et al., “Modeling of a Variable Speed Wind Turbine with a Permanent Magnet Synchronous Generator,” in Proc. IEEE International Symposium on Industrial Electronics at Seoul Olympic Parktel, Seoul, Korea, on Jul. 5-8, 2009, pp. 734-739
[7] R. B. Gavino et al., “Development of an Automated Wind Turbine Using Fuzzy Logic,” DLSU Engineering e-Journal, vol. 1, no. 1, pp.
28-42, Mar. 2007.
[8] J. Verma et al., “Performance Analysis and Simulation of Wind Energy Conversion System Connected with Grid,” International Journal of Recent Technology and Engineering, vol. 2, no. 6, pp. 33-38, Jan. 2014.
[9] R. K. Pachauri and Y. K. Chauhan, “Mechanical Control Methods in Wind Turbine Operations for Power Generation,” Journal of Automation and Control Engineering, vol. 2, no. 3, Sep. 2014.
[10] J. Gupta and A. Kumar, “Fixed Pitch Wind Turbine-Based Permanent Magnet Synchronous Machine Model for Wind Energy Conversion Systems,” Journal of Engineering and Technology, vol. 2, no. 1, pp.
52-62, Jan. 2012
[11] S. Goyal, M. Gaur and S. Bhandari, “Power Regulation of a Wind Turbine Using Adaptive Fuzzy- PID Pitch Angle Controller,”
International Journal of Recent Technology and Engineering, vol. 2, no.
3, May 2013.
[12] S. Khajuria and J. Kaur., “Implementation of Pitch Control of Wind Turbine using Simulink (Matlab),” International Journal of Advanced Research in Computer Engineering & Technology, vol. 1, no. 4, pp.
196-200, Jun. 2012
[13] P. Udhayakumar, C. Saravanan and M. Lydia, “Stand-Alone Wind Energy Supply System Using Permanent Magnet Synchronous Generator,” International Journal of Innovative Technology and Exploring Engineering, vol. 2, no. 3, pp. 130-135, Feb. 2013.
[14] O. Belghazi and M. Cherkaoui, “Pitch Angle Control for Variable Speed Wind Turbines Using Genetic Algorithm Controller,” Journal of Theoretical and Applied Information Technology, vol. 39, no.1, pp. 6- 10, May 2012.
[15] C. Luo, H. Banakar, B. Shen and B.T. Ooi, “Strategies to Smooth Wind Power Fluctuations of Wind Turbine Generator,” IEEE Transactions on Energy Conversion. vol. 22, no. 2, pp. 341-349, Jun.
2007.
[16] F. D. Kanellos and N.D. Hatziargyriou, “Control of Variable Speed Wind Turbines in Isolated Mode of Operation,” IEEE Transactions on Energy Conversion., vol. 23, no. 2, pp. 535-543, Jun. 2008.
[17] T. Senjyu, R. Sakamoto, N. Urasaki, T. Funabashi, H. Fujita and H.
Sekine, “Output Power Leveling of Wind Turbine Generator for all Operating Regions by Pitch Angle Control,” IEEE Transactions on Energy Conversion., vol. 21, no. 2, pp. 467-475, Jun. 2006.
[18] A. Uehara et al. “A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS” IEEE Transactions on Energy Conversion, vol. 26, no. 2, pp. 550-558, Jun. 2011.