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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 6 Issue: 6 36- 40
______________________________________________________________________________________
36
IJRITCC | June 2018, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Active and Reactive Power Control for PV based Water Pumping System
Anjali Torgal
Department of Electrical and Electronics Engineering
DSCE, Bengaluru, India
torgalanjali@gmail.com
Harsha Anantwar
Department of Electrical and Electronics Engineering
DSCE,Bengaluru, India
K. Shanmukha Sundar
Department of Electrical and Electronics Engineering
DSCE
Bengaluru, India
Abstract— The scarcity of fossil fuels and lack of electrification of several rural areas in developing countries like India has encouraged the use
of renewable energy sources in recent times. The solar photovoltaic power is of great relevance in areas where electric lines are not yet laid.
Since agriculture is generally the main source of income in most of rural India, irrigation is one of the biggest challenges. PV powered pumping
systems have gained popularity in the past few decades. The nature of the load demands an active and reactive power control in standalone
systems powered by renewable sources. There are several techniques to achieve active and reactive power control in a microgrid. In this paper a
technique to control PQ is employed to a PV powered composite load and results are evaluated using MATLAB/SIMULINK.
Keywords- Active power, Boost converter, Induction motor, Inverter, Reactive power
__________________________________________________*****_________________________________________________
I. INTRODUCTION
One of the most important and widely accepted applications
of photovoltaic(PV) standalone systems is for water pumping.
A particularly in rural area, where solar irradiation is in
abundance but a supply from the national grid is lacking. Low
power pumps ranging from 200–2000W are generally
employed in PV pumping systems. They are employed in
several places for supplying water for livestock or domestic
purposes. They are also used for water and energy conservation
such as low head drip irrigation systems[1]. The energy
utilization efficiency of PV panels is often quite low. This
efficiency can be significantly improved even in commercial
photovoltaic pumping systems by employing suitable
algorithms for maximum power point tracking. The choice of
motor for rural irrigation is generally a squirrel cage induction
motor. The renewable source in this paper supplies to a load
that is composite. An induction motor operating in parallel with
a static RL load is considered. Since the system consists of both
a static and dynamic load, both active and reactive power is
needed to be controlled in particular scenarios. Although some
work has been carried out previously by with a grid connected
PV system, not much has been done in case of a standalone
system which is powering a composite load. This paper aims at
providing a novel active and reactive power control strategy in
the case of a standalone system considering the requirements of
static and dynamic loads.
A. PV Panel
The basic generation unit in a PV system is the Photovoltaic
cell. These cells are connected in series and parallel to increase
the voltage and current respectively and consequently output
power of the PV panel. The single-diode mathematical model
is applicable to simulate silicon photovoltaic cells which
consist of a photocurrent source denoted by Iph, a nonlinear
diode D, internal resistances Rs in series and Rsh connected in
shunt. The equivalent circuit is shown in Fig. 1.
Fig. 1. Single diode model of PV cell
The mathematical relationship between the output current I
and output voltage V in the single-diode equivalent circuit can
be described as:
I=Iph-Is(e^(((qV+IRs))/∆kT)-1)-(V+IRs)/Rsh (1)
where, Iph is photocurrent; Is is diode saturation current; q is
coulomb constant (1.602e-19C); k is Boltzman’s constant
(1.381e-23 J/K); T is cell temperature (K); A is P-N junction
ideality factor; Rs and Rsh are intrinsic series and shunt
resistances. The PV panel characteristics of power and current
are non linear with varying conditions of solar irradiance and
temperature.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 6 Issue: 6 36- 38
_____________________________________________________________________________________
37
IJRITCC | June 2018, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
B. DC-DC Boost converter
In Figure. 2. the circuit diagram of a dc-dc boost converter is
shown. The voltage output of the converter is equal to or
greater than the input voltage.
Fig. 2. Boost converter circuit
The relationship between output voltage Vo and input
voltage Vi is given by
Vo/Vi=(1/(1-D)) (2)
The duty cycle D of the switch is increased or decreased
which causes the voltage change. Two modes of operation are
present. The first when the switch is closed. In this mode the
inductor is charged through the switch with the same polarity
as the source. The charging current is assumed to be linearly
varying. The diode restricts the flow of current from the source
to the load. The load demand is met by the discharging of the
capacitor. The second mode is when the switch is open. The
diode is in forward biased condition. The inductor discharges.
The inductor and source together charge the capacitor and
meets load demands. The load current is assumed constant
throughout the operation as it is very small. For designing the
inductor and capacitor the following equations are used:
For inductor
L=(Vo*D)/(∆I*f) (3)
For capacitor
C=D/(R*(∆Vo⁄Vo)*f) (4)
Where R is load resistance, f is the switching frequency and
∆Vo/Vo is the output ripple voltage.
C. Induction Motor
Induction motors are used in pump applications worldwide.
The model of a typical Induction model was taken[17]. They
are versatile and cost-effective. Although the induction motors
manufactured are designed to operate at 400V, for this
demonstration, an induction motor that has a rating of 1kVA
and operates at 100V is chosen.
D. RL load
A three phase RL load with R of 1kΩ and L of 1mH is
connected in parallel to the Induction motor load.
II. PROPOSED METHODOLOGY
A. PV Module
The PV model chosen is the Kyocera KC200GT which is
readily available in the MATLAB/SIMULINK library. The
Maximum power point at 1000W/m2
of the KC200GT is
200W. To generate a power of 100kW at STC, 125 strings
were connected in parallel with 4 panels in each string. The IV
characteristics and power v/s voltage curves of the designed
PV module with the MPP marked for various values of
irradiance is shown in Fig. 3.
Fig. 3. The I-V and P-V characteristics of PV panel for
various values of irradiance
The PV module is provided with a simple Perturb and
Observe based Maximum Power Point tracking module. The
algorithm for the MPPT module is as shown in Fig. 4
Fig. 4. P and O algorithm for MPPT
B. Battery charging and discharging
In order to make the system standalone and self sufficient a
lead acid battery which is capable of providing back up for up
to one hour in absence of adequate irradiance was chosen. The
MATLAB SimPowerSyetms library battery model was taken.
Care is taken that the battery SOC is always between 20% and
80%. When the PV panel generates excess power compared to
load demand, the battery is charged up to 80%. When there is a
shortage of PV power generation, the battery discharges and
supplies the load requirement.
C. Inverter
An oversized inverter was designed in order to ensure that it
is capable of supplying both active and reactive power required
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 6 Issue: 6 36- 38
_____________________________________________________________________________________
38
IJRITCC | June 2018, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
by the load. The control loop used to achieve this consists of
Proportional Integral controllers which are fed with errors in
both AC and DC power, voltage in order to control the active
reactive power.
III. SIMULATION RESULTS
The simulation was carried out in MATLAB/SIMULINK.
The results were observed for motor torque load of 100% of
maximum torque load. The settling time is noted to be 3.2
seconds. The diagram of the proposed model is as shown in Fig.
5. The various subsystems are subsequently shown in the
figures that follow.
Fig. 5. PV panel with MPPT powering a composite load
The selection criteria for battery are demonstrated in
Fig. 6 below. The battery converter is shown in Fig.7. The
converter connected to the battery either operates in buck or
boost most while the battery is in charging or discharging state
respectively.
Fig. 6. Battery converter buck and boost mode control
Fig. 7. Battery converter
The active and reactive power is controller based on the
demand of the loads. The reference values are chosen
depending on the type of load and demand. The control loop
for active reactive power control is shown in Fig. 8. This loop
provides the six pulse signal required for the inverter
MOSFETs.
Fig. 8. Active and reactive power control loop
The output voltage, current, power, irradiance and temperature
of the PV panel is shown in Fig. 9
Fig. 9. PV panel output, irradiance and temperature
Fig. 10 shows the output power of the DC converter
connecting the PV panel and battery to load.
Fig. 10 Output power of the DC-DC converter
The output voltage and current of the three phase inverter
when PV panel is generating excess power than load
requirement is shown in Fig. 11
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 6 Issue: 6 36- 38
_____________________________________________________________________________________
39
IJRITCC | June 2018, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Fig. 11 Output voltage and current of inverter
The active and reactive power as measured at the output of the
inverter is shown in Fig. 12 and Fig. 13 respectively.
Fig. 12 Active power as measured at output of inverter
Fig. 13 Reactive power as measured at output of inverter
IV. CONCLUSION
The active and reactive power control methodology was
applied to a standalone system consisting of composite load.
The induction motor torque was varied and the control loop was
observed to be effective. The MATLAB/SIMULINK
simulation results demonstrate results for a model that can be
implemented for an agricultural water pumping system powered
by PV panel with battery backup of up to 1 hour.
V. REFERENCES
[1] Elgendy, Mohammed Ali, Bashar Zahawi, and David John
Atkinson. "Comparison of directly connected and constant
voltage controlled photovoltaic pumping systems." IEEE
Transactions on sustainable energy 1.3 (2010): 184-192.
[2] E. Koutroulis and K. Kalaitzakis, “Design of a Maximum
PowerPoint Tracking System for Wind Energy Conversion
Applications”, IEEE Transactions on Industrial Electronics,
Vol. 53, No. 2, pp. 486-494, April 2006.
[3] J. Plaza Castillo, C. Daza Mafiolis, E. Coral Escobar, A.
Garcia Barrientos and R. Villafuerte Segura, "Design,
Construction and Implementation of a Low Cost Solar-
Wind Hybrid Energy System," in IEEE Latin America
Transactions, vol. 13, no. 10, pp. 3304-3309, Oct. 2015.
[4] A. V. P. Kumar, A. M. Parimi and K. U. Rao,
"Implementation of MPPT control using fuzzy logic in
solar-wind hybrid power system," 2015 IEEE International
Conference on Signal Processing, Informatics,
Communication and Energy Systems (SPICES), Kozhikode,
2015, pp. 1- 5.
[5] K. Strunz, E. Abbasi, and D. N. Huu, “DC micro grid for
wind and solar power integration,” IEEE J. Emerg. Sel.
Topics Power Electron., vol. 2, no. 1, pp. 115–126, Mar.
2014.
[6] A. V. Pavan Kumar, A. M. Parimi and K. Uma Rao,
"Performance Analysis of a Two-Diode model of PV cell
for PV based generation in MATLAB," 2014 IEEE
International Conference on Advanced Communications,
Control and Computing Technologies, Ramanathapuram,
2014, pp. 68-72.
[7] T. H. Rini and M. A. Razzak, "Voltage and power
regulation in a solar wind hybrid energy system," 2015
IEEE International WIE Conference on Electrical and
Computer Engineering (WIECON-ECE), Dhaka, 2015, pp.
231-234.
[8] H. Patsamatla, V. Karthikeyan and R. Gupta, "Universal
maximum power point tracking in wind-solar hybrid system
for battery storage application," 2014 International
Conference on Embedded Systems (ICES), Coimbatore,
2014, pp. 194-199.
[9] M. Y. Zargar, M. u. D. Mufti and S. A. Lone, "Modelling
and control of wind solar hybrid system using energy
storage system," 2016 International Conference on
Computing, Communication and Automation (ICCCA),
Noida, 2016, pp. 965-970.
[10] K. Sujatha, R. Nagaraj and M. M. Ismail, "Real time
supervisory control for hybrid power system," 2013
International Conference on Green Computing,
Communication and Conservation of Energy (ICGCE),
Chennai, 2013, pp. 415-418.
[11] C. Liwen, W. Jiadan and D. Qingtang, "Simulation
research of a novel wind and solar hybrid power system,"
2012 Power Engineering and Automation Conference,
Wuhan, 2012, pp. 1-4.
[12] E. M. Natsheh, Member, A. Albarbar, Member and J.
Yazdani, Member, “Modeling and Control for Smart Grid
Integration of Solar/Wind Energy Conversion System”,
Innovative Smart Grid Technologies (ISGT Europe), 2011
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 6 Issue: 6 36- 38
_____________________________________________________________________________________
40
IJRITCC | June 2018, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
2nd IEEE PES International Conference, Manchester 2011,
pp. 1-8.
[13] T. Jacob and S. Arun, "Maximum Power Point Tracking of
hybrid PV and wind energy systems using a new converter
topology," 2012 International Conference on Green
Technologies (ICGT), Trivandrum, 2012, pp. 280-287.
[14] S. K. Tiwari, B. Singh and P. K. Goel, "Design and control
of micro-grid fed by renewable energy generating sources,"
2016 IEEE 6th
International Conference on Power Systems
(ICPS), New Delhi, 2016, pp. 1-6.
[15] M. R. A. Hamadi, A. Chandra and B. Singh, "Hybrid AC-
DC standalone system based on PV array and wind
turbine," IECON 2014 - 40th
Annual Conference of the
IEEE Industrial Electronics Society, Dallas, TX, 2014, pp.
5533-5539.
[16] R. Benadli, B. Khiari and A. Sellami, "Predictive current
control strategy for a three-phase grid connected
photovoltaic-wind hybrid system," 2016 7th International
Renewable Energy Congress (IREC), Hammamet, 2016, pp.
1-6.
[17] Dr. Siva Ganesh Malla, Member IEEE, "A Review on
Direct Torque Control (DTC) of Induction Motor: with
Applications of Fuzzy," International Conference on
Electrical, Electronics, and Optimization Techniques
(ICEEOT) – 2016, pp.4558-4567

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Active and Reactive Power Control for PV based Water Pumping System

  • 1. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 6 36- 40 ______________________________________________________________________________________ 36 IJRITCC | June 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Active and Reactive Power Control for PV based Water Pumping System Anjali Torgal Department of Electrical and Electronics Engineering DSCE, Bengaluru, India torgalanjali@gmail.com Harsha Anantwar Department of Electrical and Electronics Engineering DSCE,Bengaluru, India K. Shanmukha Sundar Department of Electrical and Electronics Engineering DSCE Bengaluru, India Abstract— The scarcity of fossil fuels and lack of electrification of several rural areas in developing countries like India has encouraged the use of renewable energy sources in recent times. The solar photovoltaic power is of great relevance in areas where electric lines are not yet laid. Since agriculture is generally the main source of income in most of rural India, irrigation is one of the biggest challenges. PV powered pumping systems have gained popularity in the past few decades. The nature of the load demands an active and reactive power control in standalone systems powered by renewable sources. There are several techniques to achieve active and reactive power control in a microgrid. In this paper a technique to control PQ is employed to a PV powered composite load and results are evaluated using MATLAB/SIMULINK. Keywords- Active power, Boost converter, Induction motor, Inverter, Reactive power __________________________________________________*****_________________________________________________ I. INTRODUCTION One of the most important and widely accepted applications of photovoltaic(PV) standalone systems is for water pumping. A particularly in rural area, where solar irradiation is in abundance but a supply from the national grid is lacking. Low power pumps ranging from 200–2000W are generally employed in PV pumping systems. They are employed in several places for supplying water for livestock or domestic purposes. They are also used for water and energy conservation such as low head drip irrigation systems[1]. The energy utilization efficiency of PV panels is often quite low. This efficiency can be significantly improved even in commercial photovoltaic pumping systems by employing suitable algorithms for maximum power point tracking. The choice of motor for rural irrigation is generally a squirrel cage induction motor. The renewable source in this paper supplies to a load that is composite. An induction motor operating in parallel with a static RL load is considered. Since the system consists of both a static and dynamic load, both active and reactive power is needed to be controlled in particular scenarios. Although some work has been carried out previously by with a grid connected PV system, not much has been done in case of a standalone system which is powering a composite load. This paper aims at providing a novel active and reactive power control strategy in the case of a standalone system considering the requirements of static and dynamic loads. A. PV Panel The basic generation unit in a PV system is the Photovoltaic cell. These cells are connected in series and parallel to increase the voltage and current respectively and consequently output power of the PV panel. The single-diode mathematical model is applicable to simulate silicon photovoltaic cells which consist of a photocurrent source denoted by Iph, a nonlinear diode D, internal resistances Rs in series and Rsh connected in shunt. The equivalent circuit is shown in Fig. 1. Fig. 1. Single diode model of PV cell The mathematical relationship between the output current I and output voltage V in the single-diode equivalent circuit can be described as: I=Iph-Is(e^(((qV+IRs))/∆kT)-1)-(V+IRs)/Rsh (1) where, Iph is photocurrent; Is is diode saturation current; q is coulomb constant (1.602e-19C); k is Boltzman’s constant (1.381e-23 J/K); T is cell temperature (K); A is P-N junction ideality factor; Rs and Rsh are intrinsic series and shunt resistances. The PV panel characteristics of power and current are non linear with varying conditions of solar irradiance and temperature.
  • 2. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 6 36- 38 _____________________________________________________________________________________ 37 IJRITCC | June 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ B. DC-DC Boost converter In Figure. 2. the circuit diagram of a dc-dc boost converter is shown. The voltage output of the converter is equal to or greater than the input voltage. Fig. 2. Boost converter circuit The relationship between output voltage Vo and input voltage Vi is given by Vo/Vi=(1/(1-D)) (2) The duty cycle D of the switch is increased or decreased which causes the voltage change. Two modes of operation are present. The first when the switch is closed. In this mode the inductor is charged through the switch with the same polarity as the source. The charging current is assumed to be linearly varying. The diode restricts the flow of current from the source to the load. The load demand is met by the discharging of the capacitor. The second mode is when the switch is open. The diode is in forward biased condition. The inductor discharges. The inductor and source together charge the capacitor and meets load demands. The load current is assumed constant throughout the operation as it is very small. For designing the inductor and capacitor the following equations are used: For inductor L=(Vo*D)/(∆I*f) (3) For capacitor C=D/(R*(∆Vo⁄Vo)*f) (4) Where R is load resistance, f is the switching frequency and ∆Vo/Vo is the output ripple voltage. C. Induction Motor Induction motors are used in pump applications worldwide. The model of a typical Induction model was taken[17]. They are versatile and cost-effective. Although the induction motors manufactured are designed to operate at 400V, for this demonstration, an induction motor that has a rating of 1kVA and operates at 100V is chosen. D. RL load A three phase RL load with R of 1kΩ and L of 1mH is connected in parallel to the Induction motor load. II. PROPOSED METHODOLOGY A. PV Module The PV model chosen is the Kyocera KC200GT which is readily available in the MATLAB/SIMULINK library. The Maximum power point at 1000W/m2 of the KC200GT is 200W. To generate a power of 100kW at STC, 125 strings were connected in parallel with 4 panels in each string. The IV characteristics and power v/s voltage curves of the designed PV module with the MPP marked for various values of irradiance is shown in Fig. 3. Fig. 3. The I-V and P-V characteristics of PV panel for various values of irradiance The PV module is provided with a simple Perturb and Observe based Maximum Power Point tracking module. The algorithm for the MPPT module is as shown in Fig. 4 Fig. 4. P and O algorithm for MPPT B. Battery charging and discharging In order to make the system standalone and self sufficient a lead acid battery which is capable of providing back up for up to one hour in absence of adequate irradiance was chosen. The MATLAB SimPowerSyetms library battery model was taken. Care is taken that the battery SOC is always between 20% and 80%. When the PV panel generates excess power compared to load demand, the battery is charged up to 80%. When there is a shortage of PV power generation, the battery discharges and supplies the load requirement. C. Inverter An oversized inverter was designed in order to ensure that it is capable of supplying both active and reactive power required
  • 3. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 6 36- 38 _____________________________________________________________________________________ 38 IJRITCC | June 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ by the load. The control loop used to achieve this consists of Proportional Integral controllers which are fed with errors in both AC and DC power, voltage in order to control the active reactive power. III. SIMULATION RESULTS The simulation was carried out in MATLAB/SIMULINK. The results were observed for motor torque load of 100% of maximum torque load. The settling time is noted to be 3.2 seconds. The diagram of the proposed model is as shown in Fig. 5. The various subsystems are subsequently shown in the figures that follow. Fig. 5. PV panel with MPPT powering a composite load The selection criteria for battery are demonstrated in Fig. 6 below. The battery converter is shown in Fig.7. The converter connected to the battery either operates in buck or boost most while the battery is in charging or discharging state respectively. Fig. 6. Battery converter buck and boost mode control Fig. 7. Battery converter The active and reactive power is controller based on the demand of the loads. The reference values are chosen depending on the type of load and demand. The control loop for active reactive power control is shown in Fig. 8. This loop provides the six pulse signal required for the inverter MOSFETs. Fig. 8. Active and reactive power control loop The output voltage, current, power, irradiance and temperature of the PV panel is shown in Fig. 9 Fig. 9. PV panel output, irradiance and temperature Fig. 10 shows the output power of the DC converter connecting the PV panel and battery to load. Fig. 10 Output power of the DC-DC converter The output voltage and current of the three phase inverter when PV panel is generating excess power than load requirement is shown in Fig. 11
  • 4. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 6 36- 38 _____________________________________________________________________________________ 39 IJRITCC | June 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Fig. 11 Output voltage and current of inverter The active and reactive power as measured at the output of the inverter is shown in Fig. 12 and Fig. 13 respectively. Fig. 12 Active power as measured at output of inverter Fig. 13 Reactive power as measured at output of inverter IV. CONCLUSION The active and reactive power control methodology was applied to a standalone system consisting of composite load. The induction motor torque was varied and the control loop was observed to be effective. The MATLAB/SIMULINK simulation results demonstrate results for a model that can be implemented for an agricultural water pumping system powered by PV panel with battery backup of up to 1 hour. V. REFERENCES [1] Elgendy, Mohammed Ali, Bashar Zahawi, and David John Atkinson. "Comparison of directly connected and constant voltage controlled photovoltaic pumping systems." IEEE Transactions on sustainable energy 1.3 (2010): 184-192. [2] E. Koutroulis and K. Kalaitzakis, “Design of a Maximum PowerPoint Tracking System for Wind Energy Conversion Applications”, IEEE Transactions on Industrial Electronics, Vol. 53, No. 2, pp. 486-494, April 2006. [3] J. Plaza Castillo, C. Daza Mafiolis, E. Coral Escobar, A. Garcia Barrientos and R. Villafuerte Segura, "Design, Construction and Implementation of a Low Cost Solar- Wind Hybrid Energy System," in IEEE Latin America Transactions, vol. 13, no. 10, pp. 3304-3309, Oct. 2015. [4] A. V. P. Kumar, A. M. Parimi and K. U. Rao, "Implementation of MPPT control using fuzzy logic in solar-wind hybrid power system," 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), Kozhikode, 2015, pp. 1- 5. [5] K. Strunz, E. Abbasi, and D. N. Huu, “DC micro grid for wind and solar power integration,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 2, no. 1, pp. 115–126, Mar. 2014. [6] A. V. Pavan Kumar, A. M. Parimi and K. Uma Rao, "Performance Analysis of a Two-Diode model of PV cell for PV based generation in MATLAB," 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, Ramanathapuram, 2014, pp. 68-72. [7] T. H. Rini and M. A. Razzak, "Voltage and power regulation in a solar wind hybrid energy system," 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), Dhaka, 2015, pp. 231-234. [8] H. Patsamatla, V. Karthikeyan and R. Gupta, "Universal maximum power point tracking in wind-solar hybrid system for battery storage application," 2014 International Conference on Embedded Systems (ICES), Coimbatore, 2014, pp. 194-199. [9] M. Y. Zargar, M. u. D. Mufti and S. A. Lone, "Modelling and control of wind solar hybrid system using energy storage system," 2016 International Conference on Computing, Communication and Automation (ICCCA), Noida, 2016, pp. 965-970. [10] K. Sujatha, R. Nagaraj and M. M. Ismail, "Real time supervisory control for hybrid power system," 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, 2013, pp. 415-418. [11] C. Liwen, W. Jiadan and D. Qingtang, "Simulation research of a novel wind and solar hybrid power system," 2012 Power Engineering and Automation Conference, Wuhan, 2012, pp. 1-4. [12] E. M. Natsheh, Member, A. Albarbar, Member and J. Yazdani, Member, “Modeling and Control for Smart Grid Integration of Solar/Wind Energy Conversion System”, Innovative Smart Grid Technologies (ISGT Europe), 2011
  • 5. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 6 36- 38 _____________________________________________________________________________________ 40 IJRITCC | June 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ 2nd IEEE PES International Conference, Manchester 2011, pp. 1-8. [13] T. Jacob and S. Arun, "Maximum Power Point Tracking of hybrid PV and wind energy systems using a new converter topology," 2012 International Conference on Green Technologies (ICGT), Trivandrum, 2012, pp. 280-287. [14] S. K. Tiwari, B. Singh and P. K. Goel, "Design and control of micro-grid fed by renewable energy generating sources," 2016 IEEE 6th International Conference on Power Systems (ICPS), New Delhi, 2016, pp. 1-6. [15] M. R. A. Hamadi, A. Chandra and B. Singh, "Hybrid AC- DC standalone system based on PV array and wind turbine," IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, 2014, pp. 5533-5539. [16] R. Benadli, B. Khiari and A. Sellami, "Predictive current control strategy for a three-phase grid connected photovoltaic-wind hybrid system," 2016 7th International Renewable Energy Congress (IREC), Hammamet, 2016, pp. 1-6. [17] Dr. Siva Ganesh Malla, Member IEEE, "A Review on Direct Torque Control (DTC) of Induction Motor: with Applications of Fuzzy," International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) – 2016, pp.4558-4567