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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 816
SOLAR POWER FED ADJUSTUABLE SPEED DRIVE SYSTEM
B.Madan lal1
, U.Raja Kiran2
, Sushma Gupta3
, Savita Nema4
1
M.Tech scholar, Department of Electrical Engineering, MANIT, Bhopal, India
2
M.Tech scholar, Department of Electrical Engineering, MANIT, Bhopal, India
3
Professor, Department of Electrical Engineering, MANIT, Bhopal, India
4
Professor, Department of Electrical Engineering, MANIT, Bhopal, India
Abstract
The conventional energy resources are widely used in power generation but they are environmentally unfriendly. The use of
renewable energy resources is an alternative solution for overcoming the global warming. Solar energy has significant potential
among all the renewable energy resources. As photo voltaic array has low configurable efficiency, by tracking the maximum power
point by means of boost converter we can get maximum DC power. In this paper, Maximum power point Tracking (MPPT) is used by
boost converter and its output is fed to the inverter for adjustable speed drive (ASD) system. The gate pulses of inverter are generated
by the variable voltage and frequency control of induction motor. The developed model is simulated in MATLAB/SIMULINK.
Keywords: Adjustable speed drive, MPPT, Renewable energy, V /f control.
----------------------------------------------------------------------***------------------------------------------------------------------------
1. INTRODUCTION
The power generation from conventional energy resources like
coal, gas, petrol, etc raises environmental concerns, which
leads to global warming. A movement towards the generation
of renewable energy resources like biogas, geothermal, solar,
wind, etc; is therefore solution to reduce greenhouse gas
emissions globally. Solar energy has a significant potential
among all the renewable energy resources. The main
applications of solar energy are photo voltaic, solar heating,
solar cookers and food processors, solar thermal electricity,
satellites, etc. In industries they are used for ASD’s, dryers,
chilling, electrification, electric furnace, steam processing,
water pumping, etc. The advantages of photovoltaic are low
maintenance, provides cost effective electricity for remote
areas, long life [1].
The ASD plays a vital role in industries [8-12]. The main
purpose to vary the speed with standard induction motor is to
improve process control and saving of energy. Its advantages
are longer life, high efficiency, high starting torque with
suitable wide range of applications, low cost and maintenance,
and simple to reverse the direction of rotation.
In this paper, the developed model has two stages, as shown in
figure 1. In the first stage, DC supply to inverter was fed from
the solar panel; the maximum power was tracked by means of
boost converter. In the second stage, the speed of the induction
machine is controlled by the volts/hertz (V/f) control. The
paper is organized as follows, section II presents about the
MPPT based solar power module, section III discusses about
ASD control scheme. Section IV presents the simulation
model and results of developed system, finally section V
concludes the solar power fed ASD system with its
applications.
2. MPPT BASED SOLAR POWER MODULE
The MPPT based solar power module has three main parts;
namely PV array, controller (MPPT), and boost converter.
V/F control
INVERTERBOOST CONVERTER
PV ARRAY
IM
MPPT
Fig.1. Block diagram of solar power fed ASD system
The modeling of PV array is given in [5] and its V-I
characteristics equation is given by,
))((
)(
shs
nkT
IRv
q
osc RIRvIeIII k
s









 






 
(1)
Where,
V and I represent the output voltage and current of the PV,
respectively.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 817
Rs and Rsh are the series and shunt resistance of the cell.
q is the electronic charge.
ISC is the light-generated current.
Io is the reverse saturation current.
n is a dimensionless factor.
k is the Boltzman constant, and
Tk is the temperature in o
K.
MPPT is algorithm that includes in charge controllers used for
extract maximum available power from PV model under
certain considerations. The voltage at which maximum has
tracked is called MPPT point. It varies with ambient
temperature, radiation and solar cell temperature. The main
different types of MPPT algorithms available are perturb and
observe (P&O), incremental conductance (INC), current shift
method, and constant voltage [2,3]. There some special
algorithms based on fuzzy, neural networks, PSO and pilot
cells [6,7]. In spite of these, P&O and INC techniques are
mostly used for low cost implementation. Maximum power is
tracked by periodically incrementing and decrementing the PV
array voltage. If a given perturbation results in
increase/decrease output power of PV, then the subsequent
perturbation is generated in same/opposite direction [4].
Figure 2 flowchart shows the P&O algorithm technique
Set duty out
Read V,I
Pnew = V*I
Duty=Duty*
Pnew Pold
Duty=Duty*
Start
Pnew > Pold
NO
YES
Fig.2 Flow chart of P&O algorithm
The boost converter is used to boost up the DC voltage of PV
array to the DC link of inverter. The duty ratio is set by the
MPPT. The boost converter topology and its waveforms are
shown in figure 3.
The equations of boost converter are given by,
inout VV *))1/(1(  (2)
Tton (3)
)( offon ttT 
(4)
Where,
Vin and Vout are the input and output voltage of boost converter
respectively
T is time period of pulse
vin
Iin
MOSFET
D
INDUCTOR IL
c
load
Gate pulse of boost converter
Photovoltaic current
Photovoltaic voltage
Converter output voltage
t
t
t
t
V
TONTOFF
T
Fig.3 Boost converter circuit and its wave forms
3. ADJUSTABLE SPEED DRIVE SYSTEM
The main parts of ASD system are three phase inverter,
induction motor, and controller. The block diagram of speed
control of induction motor (ASD system) is shown in figure 4.
The inverter is a conventional three leg IGBT module
connected with squirrel cage induction motor. The controller
used here is a closed loop V/f control. As the flux is
proportional to the ratio of voltage and frequency, when the
voltage is kept as constant and frequency is decreased, IM
draws more magnetizing current which leads to deep
saturation. If frequency is kept constant and increase the
supply voltage to motor leads to insulation failure. So always
V/f should be maintained constant In the closed loop control,
the actual speed is compared with the reference speed and then
the error is processed by PI controller. The PI output is used to
create reference signal for generating sinusoidal pulse width
modulation (SPWM) pulses to the inverter.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 818
PI
controller
PWM
Generation
Inverter
IM
Saturation
W ref
W actual
IntegratorConstant
V/f
V* f*
Fig.4 Block diagram of speed control of Induction motor (ASD system)
4. SIMULATION MODEL AND RESULTS
The simulation model of solar power fed ASD system is shown in figure 5.
Fig.5. Simulink model of solar power fed ASD system
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 819
The output voltage, current, power waveforms of PV array is shown in figures 6,7 and 8 respectively.
Time (sec)
PVarrayVoltage(volts)
Fig.6 PV array output Voltage waveform
Time (sec)
PVarraycurrent(amps)
Fig.7 PV array output current waveform
PVarrayPOWER
Time (sec)
Fig.8 PV array output power waveform
Time (sec)
Voltage
Fig. 9 Boost converter output voltage waveform
The speed response and torque developed by the solar power
fed ASD system are shown in figure 10 and 11.
Fig.10 Step size speed control of solar power fed ASD system
Time (sec)
Tem(Nm)
Fig.11 Electromagnetic Torque developed by solar power fed
ASD system
The step size speed control of induction motor shows the
characteristics of ASD system. Thus by this response the solar
power fed ASD system is applicable in HVAC, fans and water
pumps, food processing, petro chemicals, Mining and metals,
pulp and paper/forest producers, machine tools, transportation.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 820
5. CONCLUSIONS
The solar power fed adjustable speed drive system has been
simulated in MATLAB/SIMULINK and its results are
discussed. As the solar has significant potential among all the
renewable energy resources, solar power modules should be
installed in domestic and industries for electrification or
various applications which are listed. By utilizing solar power
for ASD system, reduces losses, reduces power supply
problems, reduces motor heating and stress, increases
efficiency, high saving in energy, low maintenance, long life
and improves the process of control. Thus the developed
model is robust and energy saving system.
REFERENCES
[1] Joe-Air Jiang,Tsong-Liang Huang, Ying-Tung Hsiao
and Chia-Hong Chen, “Maximum Power Tracking for
Photovoltaic Power Systems,” Tamkang Journal of
Science and Engineering, Vol. 8, No 2, pp. 147-153,
2005
[2] Elgendy M. A, Zahawi, B and Atkinson D. J,
”Evaluation of perturb and observe MPPT algorithm
implementation techniques,” IET International
Conference on Power Electronics, Machines and
Drives, 2012
[3] A. Chouder, F. Guijoan and S. Silvestre, “Simulation
of fuzzy-based MPP tracker and performance
comparison with perturb &observe method‖,” Revue
des Energies Renouvelables Vol. 11, No. 4, pp. 577-
586, 2008
[4] Nicola Femia, Giovanni Petrone, Giovanni Spagnuolo
and Massimo Vitelli, “Optimization of Perturb and
Observe Maximum Power Point Tracking Method,”
IEEE Transactions on Power Electronics, Vol. 20, No.
4, 2005
[5] Savita Nema, R.K. Nema, Gayatri Agnihotri,
“MATLAB/Simulink based study of photovoltaic cells
/ modules / array and their experimental verification”,
International journal of Energy and Environment, vol.1,
No.3, pp.487-500, 2010.
[6] Bidyadhar subudhi and raseswari Pradhan,”A
Comparative study on Maximum Power PointTracking
Techniques for Photovoltaic Power Systems,” IEEE
Transactions On Sustainable Energy, Vol. 4, No. 1,
JANUARY 2013.
[7] Esram T and Chapman P L, "Comparison of
Photovoltaic Array Maximum Power Point Tracking
Techniques," IEEE Transactions on Energy
Conversion, , vol.22, no.2, pp.439-449, June 2007.
[8] Bimal Bose, “Induction Motor Drives,” in Power
Electronics and Motor Drives Advances and Trends,
Academic Press publications, 2006, pp.391-476
[9] Bose, B.K., "High performance control and estimation
in AC drives," 23rd International Conference on
Industrial Electronics, Control and Instrumentation
(IECON 97), vol.2, no., pp.377,385 vol.2, 9-14 Nov
1997
[10] Bazzi A.M and Krein P T., "Review of Methods for
Real-Time Loss Minimization in
Induction Machines," IEEE Transactions on Industry
Applications, vol.46, no.6, pp.2319,2328, Nov.-Dec.
2010.
[11] Nafisa Binte Yousuf, Khosru M. Salim, Rafid Haider,
Md. Rajin Alam, Fatima Binte Zia “Development of a
Three Phase Induction Motor Controller for Solar
Powered Water Pump” IEEE Trans. Power Electron.,
vol. 24, no. 5, pp. 1198–1208, May 2009.
[12] Nejib Hamrouni, Moncef Jraidi and Adnene Cherif,
“Theoretical and experimental analysis of the
behaviour of a photovoltaic pumping system,” Solar
Energy 83(2009), pp. 335–1344, 2009

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Solar power fed adjustuable speed drive system

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 816 SOLAR POWER FED ADJUSTUABLE SPEED DRIVE SYSTEM B.Madan lal1 , U.Raja Kiran2 , Sushma Gupta3 , Savita Nema4 1 M.Tech scholar, Department of Electrical Engineering, MANIT, Bhopal, India 2 M.Tech scholar, Department of Electrical Engineering, MANIT, Bhopal, India 3 Professor, Department of Electrical Engineering, MANIT, Bhopal, India 4 Professor, Department of Electrical Engineering, MANIT, Bhopal, India Abstract The conventional energy resources are widely used in power generation but they are environmentally unfriendly. The use of renewable energy resources is an alternative solution for overcoming the global warming. Solar energy has significant potential among all the renewable energy resources. As photo voltaic array has low configurable efficiency, by tracking the maximum power point by means of boost converter we can get maximum DC power. In this paper, Maximum power point Tracking (MPPT) is used by boost converter and its output is fed to the inverter for adjustable speed drive (ASD) system. The gate pulses of inverter are generated by the variable voltage and frequency control of induction motor. The developed model is simulated in MATLAB/SIMULINK. Keywords: Adjustable speed drive, MPPT, Renewable energy, V /f control. ----------------------------------------------------------------------***------------------------------------------------------------------------ 1. INTRODUCTION The power generation from conventional energy resources like coal, gas, petrol, etc raises environmental concerns, which leads to global warming. A movement towards the generation of renewable energy resources like biogas, geothermal, solar, wind, etc; is therefore solution to reduce greenhouse gas emissions globally. Solar energy has a significant potential among all the renewable energy resources. The main applications of solar energy are photo voltaic, solar heating, solar cookers and food processors, solar thermal electricity, satellites, etc. In industries they are used for ASD’s, dryers, chilling, electrification, electric furnace, steam processing, water pumping, etc. The advantages of photovoltaic are low maintenance, provides cost effective electricity for remote areas, long life [1]. The ASD plays a vital role in industries [8-12]. The main purpose to vary the speed with standard induction motor is to improve process control and saving of energy. Its advantages are longer life, high efficiency, high starting torque with suitable wide range of applications, low cost and maintenance, and simple to reverse the direction of rotation. In this paper, the developed model has two stages, as shown in figure 1. In the first stage, DC supply to inverter was fed from the solar panel; the maximum power was tracked by means of boost converter. In the second stage, the speed of the induction machine is controlled by the volts/hertz (V/f) control. The paper is organized as follows, section II presents about the MPPT based solar power module, section III discusses about ASD control scheme. Section IV presents the simulation model and results of developed system, finally section V concludes the solar power fed ASD system with its applications. 2. MPPT BASED SOLAR POWER MODULE The MPPT based solar power module has three main parts; namely PV array, controller (MPPT), and boost converter. V/F control INVERTERBOOST CONVERTER PV ARRAY IM MPPT Fig.1. Block diagram of solar power fed ASD system The modeling of PV array is given in [5] and its V-I characteristics equation is given by, ))(( )( shs nkT IRv q osc RIRvIeIII k s                    (1) Where, V and I represent the output voltage and current of the PV, respectively.
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 817 Rs and Rsh are the series and shunt resistance of the cell. q is the electronic charge. ISC is the light-generated current. Io is the reverse saturation current. n is a dimensionless factor. k is the Boltzman constant, and Tk is the temperature in o K. MPPT is algorithm that includes in charge controllers used for extract maximum available power from PV model under certain considerations. The voltage at which maximum has tracked is called MPPT point. It varies with ambient temperature, radiation and solar cell temperature. The main different types of MPPT algorithms available are perturb and observe (P&O), incremental conductance (INC), current shift method, and constant voltage [2,3]. There some special algorithms based on fuzzy, neural networks, PSO and pilot cells [6,7]. In spite of these, P&O and INC techniques are mostly used for low cost implementation. Maximum power is tracked by periodically incrementing and decrementing the PV array voltage. If a given perturbation results in increase/decrease output power of PV, then the subsequent perturbation is generated in same/opposite direction [4]. Figure 2 flowchart shows the P&O algorithm technique Set duty out Read V,I Pnew = V*I Duty=Duty* Pnew Pold Duty=Duty* Start Pnew > Pold NO YES Fig.2 Flow chart of P&O algorithm The boost converter is used to boost up the DC voltage of PV array to the DC link of inverter. The duty ratio is set by the MPPT. The boost converter topology and its waveforms are shown in figure 3. The equations of boost converter are given by, inout VV *))1/(1(  (2) Tton (3) )( offon ttT  (4) Where, Vin and Vout are the input and output voltage of boost converter respectively T is time period of pulse vin Iin MOSFET D INDUCTOR IL c load Gate pulse of boost converter Photovoltaic current Photovoltaic voltage Converter output voltage t t t t V TONTOFF T Fig.3 Boost converter circuit and its wave forms 3. ADJUSTABLE SPEED DRIVE SYSTEM The main parts of ASD system are three phase inverter, induction motor, and controller. The block diagram of speed control of induction motor (ASD system) is shown in figure 4. The inverter is a conventional three leg IGBT module connected with squirrel cage induction motor. The controller used here is a closed loop V/f control. As the flux is proportional to the ratio of voltage and frequency, when the voltage is kept as constant and frequency is decreased, IM draws more magnetizing current which leads to deep saturation. If frequency is kept constant and increase the supply voltage to motor leads to insulation failure. So always V/f should be maintained constant In the closed loop control, the actual speed is compared with the reference speed and then the error is processed by PI controller. The PI output is used to create reference signal for generating sinusoidal pulse width modulation (SPWM) pulses to the inverter.
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 818 PI controller PWM Generation Inverter IM Saturation W ref W actual IntegratorConstant V/f V* f* Fig.4 Block diagram of speed control of Induction motor (ASD system) 4. SIMULATION MODEL AND RESULTS The simulation model of solar power fed ASD system is shown in figure 5. Fig.5. Simulink model of solar power fed ASD system
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 819 The output voltage, current, power waveforms of PV array is shown in figures 6,7 and 8 respectively. Time (sec) PVarrayVoltage(volts) Fig.6 PV array output Voltage waveform Time (sec) PVarraycurrent(amps) Fig.7 PV array output current waveform PVarrayPOWER Time (sec) Fig.8 PV array output power waveform Time (sec) Voltage Fig. 9 Boost converter output voltage waveform The speed response and torque developed by the solar power fed ASD system are shown in figure 10 and 11. Fig.10 Step size speed control of solar power fed ASD system Time (sec) Tem(Nm) Fig.11 Electromagnetic Torque developed by solar power fed ASD system The step size speed control of induction motor shows the characteristics of ASD system. Thus by this response the solar power fed ASD system is applicable in HVAC, fans and water pumps, food processing, petro chemicals, Mining and metals, pulp and paper/forest producers, machine tools, transportation.
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 820 5. CONCLUSIONS The solar power fed adjustable speed drive system has been simulated in MATLAB/SIMULINK and its results are discussed. As the solar has significant potential among all the renewable energy resources, solar power modules should be installed in domestic and industries for electrification or various applications which are listed. By utilizing solar power for ASD system, reduces losses, reduces power supply problems, reduces motor heating and stress, increases efficiency, high saving in energy, low maintenance, long life and improves the process of control. Thus the developed model is robust and energy saving system. REFERENCES [1] Joe-Air Jiang,Tsong-Liang Huang, Ying-Tung Hsiao and Chia-Hong Chen, “Maximum Power Tracking for Photovoltaic Power Systems,” Tamkang Journal of Science and Engineering, Vol. 8, No 2, pp. 147-153, 2005 [2] Elgendy M. A, Zahawi, B and Atkinson D. J, ”Evaluation of perturb and observe MPPT algorithm implementation techniques,” IET International Conference on Power Electronics, Machines and Drives, 2012 [3] A. Chouder, F. Guijoan and S. Silvestre, “Simulation of fuzzy-based MPP tracker and performance comparison with perturb &observe method‖,” Revue des Energies Renouvelables Vol. 11, No. 4, pp. 577- 586, 2008 [4] Nicola Femia, Giovanni Petrone, Giovanni Spagnuolo and Massimo Vitelli, “Optimization of Perturb and Observe Maximum Power Point Tracking Method,” IEEE Transactions on Power Electronics, Vol. 20, No. 4, 2005 [5] Savita Nema, R.K. Nema, Gayatri Agnihotri, “MATLAB/Simulink based study of photovoltaic cells / modules / array and their experimental verification”, International journal of Energy and Environment, vol.1, No.3, pp.487-500, 2010. [6] Bidyadhar subudhi and raseswari Pradhan,”A Comparative study on Maximum Power PointTracking Techniques for Photovoltaic Power Systems,” IEEE Transactions On Sustainable Energy, Vol. 4, No. 1, JANUARY 2013. [7] Esram T and Chapman P L, "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques," IEEE Transactions on Energy Conversion, , vol.22, no.2, pp.439-449, June 2007. [8] Bimal Bose, “Induction Motor Drives,” in Power Electronics and Motor Drives Advances and Trends, Academic Press publications, 2006, pp.391-476 [9] Bose, B.K., "High performance control and estimation in AC drives," 23rd International Conference on Industrial Electronics, Control and Instrumentation (IECON 97), vol.2, no., pp.377,385 vol.2, 9-14 Nov 1997 [10] Bazzi A.M and Krein P T., "Review of Methods for Real-Time Loss Minimization in Induction Machines," IEEE Transactions on Industry Applications, vol.46, no.6, pp.2319,2328, Nov.-Dec. 2010. [11] Nafisa Binte Yousuf, Khosru M. Salim, Rafid Haider, Md. Rajin Alam, Fatima Binte Zia “Development of a Three Phase Induction Motor Controller for Solar Powered Water Pump” IEEE Trans. Power Electron., vol. 24, no. 5, pp. 1198–1208, May 2009. [12] Nejib Hamrouni, Moncef Jraidi and Adnene Cherif, “Theoretical and experimental analysis of the behaviour of a photovoltaic pumping system,” Solar Energy 83(2009), pp. 335–1344, 2009