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Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 123 | P a g e
Simulation of generalized hybrid model for solar and wind power
generation
Vankadara Sampath kumar*, Dr. A. Srinivasa rao**
*(M. Tech, Department of electrical and electronics engineering, GITAM University, Visakhapatnam, INDIA)
**(Professor, Department of electrical and electronics engineering, GITAM University, Visakhapatnam,
INDIA)
ABSTRACT
Due to urbanization, globalization and industrialization the demand for energy is rapidly increasing allows the
world and India is not an exception. Out of all energies electrical energy is playing a major role in developed as
well as developing countries. The energy is mostly produced by fossil fuels which are developing day his is to by
day .they also produce lot of pollutants which totally damage the environment the alternative to this is to
encourage renewable energy source. Now days the energy production at domestic level is becoming popular with
the help of solar and wind energies . These technologies are widely used now days in the present paper an
attempt has been made to simulate a generalized hybrid model including solar and wind.
Keywords – DC Link, PMSG, WECS , Hybrid.
I. INTRODUCTION
In this paper main objective of our work is to
Generate Electricity in eco-friendly way. Increasing
population results rise in Energy demands day by day
we have only limited conventional resources. In this
crucial stage of energy availability, alternative way of
power generation has to be taught of Solar and wind
are clean renewable energy sources. It is one time
investment and prevents global warming.
For optimal sizing of all the components and to
minimize cost of wind diesel electrical power
generation an algorithm is developed [15].Small
autonomous power systems (SAPS) like solar and
wind power sources are well-being accessed with
systematic analytical approach avoids the cost
concern and shortage of conventional resources
To minimize the life cycle cost a generalized
model is developed based on different system
components of a hybrid energy system and an
optimal combination of energy components for a
typical rural community [16].Small-scale hybrid PV-
Wind generation system works only in standalone
mode with batteries. The power conditioning unit is
used to maximize the output power from both the
wind and the PV generators to the batteries the power
ratings and load management are not taken into
account. A design supervisory controller based on the
sliding mode control is presented in reference [8].
In this paper the generalized block diagram
consists of 5.6kW PMSG based wind energy
conversion system and solar array of 2.7kw. At the
load individual boost converters are used . Two
sources are connected in parallel to a common DC
bus link. Output of this common DC link is
connected to a three Phase SPWM Inverter. Power
will be generated with the help of both photovoltaic
& wind energy and will be supplied to the bus bar
from where power is supplied to the load. Flow of
power scheme can be observed as PV array—DC/DC
Boost converter—Common DC link. For wind
energy, Power flow can be observed as Wind
energy—Turbine—PMSG—Rectifier—Boost
Converter— Common DC Link. DC link common
voltage is given as an input to the 3 phase SPWM
Inverter. Operation of Boost converter takes place in
a closed loop to maintain the constant DC output
voltage. The entire circuit simulation is done by using
MATLAB/SIMULINK environment.
II. Original Diagram and Description
The complete layout of wind-solar hybrid system
which supplies either ac or dc or both is shown
figure-1
Figure-1 Hybrid Model Block Diagram
RESEARCH ARTICLE OPEN ACCESS
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 124 | P a g e
A. Photovoltaic (P.V) Solar Modules
Figure2 indicates typical block diagram of PV
system Using silicon being a main constituent of sand
which one of the most abundant element on earth is
used in the manufacturing of solar cell also known as
photovoltaic cell. Combination of several solar cells
design is said to be solar module and it is also an
weather proof unit. Incident light is absorbed by the
solar cell which is diode and it is converted into
electricity. Physically and electrically connected solar
modules will give rise of solar panels. Energy
consumption must be estimated to determine the size
of PV modules. Therefore size of PV module is
calculated as Wp [5].
Energy consumption measures in watts or
kilowatts where isolation is in KWh/m2
/Day.
Figure 2 Photovoltaic System
Block diagram consists of solar panels which it
absorbs the light energy from sunlight by using
MPPT controller and the obtained electrical energy is
converted from dc to ac and it is given to load the
controller is assisted by battery for continuous
supply. The ratings of the solar cell in the panel is
given below.
Specification of single solar cell: Nominal Power
Pmax =85W, Voltage at maximum power =29.12V,
Current at maximum power =5.95A, Open circuit
voltage of single module =36.02V, Short circuit
current =7.78A, Solar cell per module =36, Open
circuit voltage of single solar cell =0.6V, Irradiance
=1000W/m2, So in order to obtain the 2.2kW power
output we connected 17 module in series.
B. Wind Power Modelling
Conversion of wind energy to electrical Energy
and to predict the output production of wind turbine
generators (WTG) various mathematical models have
been developed. For this purpose a statistical function
found which known as Weibull distribution function
is used to find the wind distributed in the site selected
of the case study and monthly/annually mean speed
of the wind at the site. Therefore the Weibull
distribution function accepted more for this
purpose.[10,11] .The two parameter Weibull
distribution function mathematically expressed in
Eq[2],the cumulative distribution function it has in
Eq 4 is given as Speed of wind is V-shape parameter
is k which is dimension less, scale parameter of the
distribution function is C (m/s),
To determine C and K widely accepted
approximations are given in equations 1 and 2
respectively [11,12]
(1)
C= (2)
Where V´ = mean speed (ms-1
)
Area swept out by the rotor and the density of the air
and the cube of the wind speed is directly
proportional to the amount of power transferred to a
wind turbine, the power P in the Wind is given by
The power P in the wind is given by
P = ½ Cp. ρ.A. V´3
(3)
Power coefficient of the turbine is given by Cp,
A maximum theoretical value of 0.593 been proposed
for Cp[8,9]
ρ = Air density (kg/m3),
A (Rotor swept area) = (m2
) (4)
Where D is diameter of rotor blade(m) and
V1
=Mean speed of wind(ms-1)
Wind Energy Conversion System
Pm (watts) = 1/2 ρ*A*V3
*Cp
Pm is the mechanical output power of the turbine.
Cp is the turbine power coefficient,
ρ is the air density,
A is the turbine swept area,
V is the wind speed
Function of tip speed ratio λ given by:
λ = Ω*R/V
Ω: Rotational speed of blades
R: Radius of turbine blades
V: Wind speed
Figure-4 Simulink model of wind energy conversion
system
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 125 | P a g e
C. Battery Subsystem
In enhancing systems which are hybrid battery
energy storage system (BESS) has a great
significance which stabilizes and permits the system
to maintain at a constant and stable output despite of
load fluctuations .It also covers the deficient energy
in case where there is a lack of primary energy
sources like sun and wind. To meet the challenges of
utility application battery technology have been
improved significantly. The high energy density,
round trip efficiency, high energy capability, cycling
capability, initial cost and life span are key factors of
battery for storage applications. Various types of
battery technologies are available for large scale
storage energy system, but the lead acid technology is
a low cost option and mature technology which is
suitable in rapid discharge/charge large bulk storage
system but limited life cycle and the low energy
density are to be the main disadvantage of this
technology
Battery simulation model:
Figure-5:Simulink model of battery bank
Figure-6 Simulink model
D. Modelling of 3 phase SPWM inverter
DC electricity from sources such as solar panels,
batteries, or fuel cells to AC electricity by an
inverter.at any required voltage in particular
operation AC equipment is designed for mains
operation electricity.in the presence of main supply
the battery voltage is maintained constant by using
controlled chargers however in the absence of mains
the output voltage can be decreased by decreasing the
battery voltage. Output voltage can be changed by
variation of load. Web browsers, industrial
instrumentation, note book computers, entertainment
systems and automotive are used this constant current
output voltage inverters. Wide range of topologies
are available in the sine wave inverters.by using
toroidal transformer with an output filter high
frequency switching is possible with a DC link in the
CVT(Current voltage transformer) and secondary .the
common goal is to bring the sinusoidal output. But
the output waveforms get distorted and efficiency
gets effect due to certain critical loads such as
computers, fluorescent lights with electronic ballasts,
television, microwave ovens etc.
Figure-7 Simulation model of spwm inverter
E. Modelling of boost converter
Boost converter is used to step-up the dc output
voltage of both the energy systems. Boost converter
used here is operating in a closed loop which
maintains the dc output voltage at the common dc
link as constant irrespective of the environmental
variation. That results in the fluctuation of dc output
from both the energy systems. Closed loop operation
is done by using PID controller. Here for example
435V as an output of boost converter so we fixed the
reference input of PID controller as 435V and this
reference is compared with the output voltage of
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 126 | P a g e
boost converter, and the error signal is goes to the
PWM block, inside the PWM block we have a carrier
signal of very high frequency which is compared
with the error signal of PID controller. Frequency of
carrier signal is kept at 20 KHz.
Figure-8 Circuit Diagram of Boost Converter
Basic Configuration of a Boost Converter:
Shows the basic configuration of a boost
converter where the switch is integrated in the used
Integrated circuit. Lower power converters which are
having the diode are replaced by a second switch
which is integrated to the converter. If this is the
case, all equations in this document apply besides the
power dissipation equation of the diode.
Figure9-boost converter-close loop
Necessary Parameters of the Power Stage
1. Input voltage range: Vin (max) and Vin (min)
2. Nominal output voltage: Vout
3. Maximum output current: Iout(max)
4. Integrated circuit which uses to develop the
boost converter
By knowing the above parameters power stage
calculation can be done by mat lab program given
below
USER DEFINED PROGRAM FOR BOOST
CONVERTER
% the following are four parameters needed to
calculate the power stage:
%1.input voltage range: Vin (max) and Vin (min)
%2.Nominal output voltage: out
%3.maximum output current: out(max)
clc;
disp('boost converter calculation')
Vin=input('ener the minimum input voltage::');
Vin1=input('ener the maximum input voltage::');
Vout=input('enter the output voltage::');
I=input('enter the maximum output current::');
fs=input('enter the switching frequency;;');
%calculation of maximum switch current
n=0.9;
D=1-((Vin*n)/Vout);%duty cycle
di=2*I*(Vout/Vin);%inductor ripple current
L=(Vin*(Vout-Vin))/(di*fs*Vout);%inductor value
%dv=(I/(1-D))+(di/2);
dv=0.5
c=I*D/(fs*dv);%output capacitor value
R=Vout/I;
disp('duty cycle')
D
disp('INDUCTOR VALUE::::')
L
disp('voltage ripple:::')
dv
disp('capacitor value microfarad:::')
C=c;
C
R
disp('*****')
F.Rectifier Simulink modelling
Figure10-rectifier simulink model
III. ANALYSIS OF RESULTS:
Simulating the above circuits we get the
following results
A. PV Module power ,current and voltage out puts
in hybrid model is given below the parameters
are also given to obtain the desired output and
the output of the PV is given to the boost
converter as shown in the main block diagram
Output Voltage = 505 V getting constant
corresponding to 1000 insolation Each PV
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 127 | P a g e
module produces =32.97V
Output Power = 2022 W getting constant
corresponding to 1000 insolation
Each PV module produces 131.88W
Figure11-pv results
B.
Figure12-wind power results
C.
Figure14-voltage in wind system
D. Boost converter programme results:
1 Min
i/p
volt
age
Max
i/p
volta
ge
Outpu
t
voltag
e
Outpu
t
curre
nt
Switc
hing
frequ
ency
Comp
onent
s
502.
5
502.
5
1500 48 10000
0
Dut
y
Cyc
le
Di Induc
tor
Value
(L)
Volta
ge
Rippl
e
Capac
itance
(µF)
Resist
ance
0.5 226.
87
1.473
0*e^-
005
0.5 5.817
8*e^
-004
39.47
37
2 Min
i/p
volt
age
Max
i/p
volta
ge
Outpu
t
voltag
e
Outpu
t
curre
nt
Switc
hing
frequ
ency
Comp
onent
s
435 435 1000 28 40000
Dut
y
Cyc
le
Di Induc
tor
Value
(L)
Volta
ge
Rippl
e
Capac
itance
(µF)
Resist
ance
0.5 128.
735
4.772
9*e^-
005
0.5 9.737
0*e^
-004
35.71
3
3 Min
i/p
volt
age
Max
i/p
volta
ge
Outpu
t
voltag
e
Outpu
t
curre
nt
Switc
hing
frequ
ency
Comp
onent
s
420 420 1000 28 30000
Dut
y
Cyc
le
Di Induc
tor
Value
(L)
Volta
ge
Rippl
e
Capac
itance
(µF)
Resist
ance
0.5 128.
735
4.772
9*e^-
005
0.5 9.737
0*e^-
-004
32
E. Boost converter:
Figure13-boost converter current and voltage output
F.
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 128 | P a g e
Figure14-Output Current Wave Form Of Spwm
Inverter
G. Results obtained from rectifier:
Figure15-rectifier output voltage
H.
Figure16-Results of battery model
I.
Figure17-output voltage of dc-link in system
IV. CONCLUSION
Simulation of the PV cells, wind energy
conversion system ,boost converter ,inverter,
rectifier, single pulse width modulated inverter done
by using Simulink mat lab .Boost converter triggered
by using GTOs with the help of PWM technique and
the output of the individual is given to DC link.
The combined output which is given to grid by
using stepdown transformer used for various
applications . I can be further improved by including
other renewable sources like fuel cells, geothermal
etc.
REFERENCES
[1] A.B. Kanase-Patil*, R.P. Saini, M.P.
Sharma, ―Sizing of integrated renewable
energy system based on load profiles and
reliability index for the state of Uttarakhand
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(36) 2011.pp.2809-2821
[2] AkieUehara,,AlokPratap, Tomonori Goya,
Etc.. ―A Coordinated Control Method to
Smooth Wind Power Fluctuations of a
PMSG-Based WECS‖ IEEE Transactions on
Energy Conversion, VOL. 26, NO.2, JUNE
2011
[3] BelginEmreTurkay, Ali YasinTelli
―Economic Analysis of Standalone and grid
connected hybrid energy systems‖
ELSEVIER, Renewable Energy (36)
2011.pp.1931-1943
[4] C Wang and M Nehrir, "Power management
of a stand-alone wind/photovoltaic/fuel cell
energy system," IEEE Transactions on
Energy Conversion, vol. 23, no. 3, pp. 957-
967, 2008.
[5] Chunhua Liu, K. T. Chau, and Xiaodong
Zhang, ―An Efficient Wind–Photovoltaic
Hybrid Generation System Using Doubly
Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129
www.ijera.com 129 | P a g e
Excited Permanent-Magnet Brushless
Machine IEEE Transactions on Industrial
Electronics, VOL. 57 , NO. 3,pp. 831-839
MARCH 2010
[6] Dheeraj Kumar Khatod, Vinay Pant, and
Jaydev Sharma.‖ Analytical Approach for
Well-Being Assessment of Small
Autonomous Power Systems with Solar and
Wind Energy Sources‖ IEEE Transactions
on Energy Conversion, VOL. 25, NO . 2,
pp.535-545 JUNE 2010
[7] 7 Dong Chen, Junming Zhang, Member,
IEEE, and Zhaoming Qian, Senior Member,
IEEE ―An Improved Repetitive Control
Scheme for Grid- Connected Inverter With
Frequency-Adaptive Capability‖ IEEE
TRANSACTIONS ON INDUSTRIAL
ELECTRONICS, VOL. 60, NO. 2,
FEBRUARY 2013
[8] F Valenciaga and P Puleston, "Supervisor
control for a stand-alone hybrid generation
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IEEE Transactions on Energy Conversion,
vol. 20, no. 2,pp. 398-405, 2005
[9] G Mahesh Manivanna, R Rama Reddy,
―Analysis and simulation of Seven Level
Inverter System” International Journal of
Engineering Techno science Vol (1)
2010.pp.62-68
[10] J Carrasco et al., "Power-electronic systems
for the grid integration of renewable energy
sources: A Survey ," IEEE Transactions on
Industrial Electronics, vol. 53, no. 4, pp.
1002–1016,2008
[11] S Kjaer, J Pedersen, and F Blaabjerg, "A
review of single-phase grid-connected
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Transactions on Industry Applications, vol.
41, no. 5, pp. 1292–1306,2005
[12] Seul-Ki Kim, Jin-Hong Jeon, Chang-Hee
Cho, Jong-Bo Ahn, and Sae-Hyuk Kwon,
Dynamic Modeling and Control of a Grid-
Connected Hybrid Generation System With
Versatile Power Transfer IEEE Transactions
on Industrial Electronics, VOL. 55, NO.4,
pp .1677-1688 APRIL 2008
[13] Shuitao Yang, Qin Lei, Fang Z. Peng, and
Zhaoming Qian; ―A Robust Control Scheme
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Electronics, VOL. 58, NO. 1, pp.202-212
JANUARY 2011
[14] T Gebre, T Undeland, O Ulleberg, and P
Vie, "Optimal load sharing strategy in a
hybrid power system based on PV/Fuel Cell/
Battery/Super capacitor," in International
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Itali, pp .141-146, 2009 .
[15] Tapas Kumar Saha, and DebaprasadKastha,‖
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Hybrid Wind–Diesel Electrical Power
Generation System‖ IEEE transactions on
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1209-1217 DECEMBER 2010
[16] S. Ashok, ―Optimised model for community-
based hybrid energy system‖ ELSEVIER,
Renewable Energy (32) 2007.pp 1155-1164
2014
[17] Modeling of the Wind Turbine with a
Permanent Magnet Synchronous Generator
for Integration Ming Yin, Student Member,
IEEE, Gengyin Li, Member, IEEE, Ming
Zhou, Member, IEEE, Chengyong Zhao,
Member, IEEE

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Simulation of generalized hybrid model for solar and wind power generation

  • 1. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 123 | P a g e Simulation of generalized hybrid model for solar and wind power generation Vankadara Sampath kumar*, Dr. A. Srinivasa rao** *(M. Tech, Department of electrical and electronics engineering, GITAM University, Visakhapatnam, INDIA) **(Professor, Department of electrical and electronics engineering, GITAM University, Visakhapatnam, INDIA) ABSTRACT Due to urbanization, globalization and industrialization the demand for energy is rapidly increasing allows the world and India is not an exception. Out of all energies electrical energy is playing a major role in developed as well as developing countries. The energy is mostly produced by fossil fuels which are developing day his is to by day .they also produce lot of pollutants which totally damage the environment the alternative to this is to encourage renewable energy source. Now days the energy production at domestic level is becoming popular with the help of solar and wind energies . These technologies are widely used now days in the present paper an attempt has been made to simulate a generalized hybrid model including solar and wind. Keywords – DC Link, PMSG, WECS , Hybrid. I. INTRODUCTION In this paper main objective of our work is to Generate Electricity in eco-friendly way. Increasing population results rise in Energy demands day by day we have only limited conventional resources. In this crucial stage of energy availability, alternative way of power generation has to be taught of Solar and wind are clean renewable energy sources. It is one time investment and prevents global warming. For optimal sizing of all the components and to minimize cost of wind diesel electrical power generation an algorithm is developed [15].Small autonomous power systems (SAPS) like solar and wind power sources are well-being accessed with systematic analytical approach avoids the cost concern and shortage of conventional resources To minimize the life cycle cost a generalized model is developed based on different system components of a hybrid energy system and an optimal combination of energy components for a typical rural community [16].Small-scale hybrid PV- Wind generation system works only in standalone mode with batteries. The power conditioning unit is used to maximize the output power from both the wind and the PV generators to the batteries the power ratings and load management are not taken into account. A design supervisory controller based on the sliding mode control is presented in reference [8]. In this paper the generalized block diagram consists of 5.6kW PMSG based wind energy conversion system and solar array of 2.7kw. At the load individual boost converters are used . Two sources are connected in parallel to a common DC bus link. Output of this common DC link is connected to a three Phase SPWM Inverter. Power will be generated with the help of both photovoltaic & wind energy and will be supplied to the bus bar from where power is supplied to the load. Flow of power scheme can be observed as PV array—DC/DC Boost converter—Common DC link. For wind energy, Power flow can be observed as Wind energy—Turbine—PMSG—Rectifier—Boost Converter— Common DC Link. DC link common voltage is given as an input to the 3 phase SPWM Inverter. Operation of Boost converter takes place in a closed loop to maintain the constant DC output voltage. The entire circuit simulation is done by using MATLAB/SIMULINK environment. II. Original Diagram and Description The complete layout of wind-solar hybrid system which supplies either ac or dc or both is shown figure-1 Figure-1 Hybrid Model Block Diagram RESEARCH ARTICLE OPEN ACCESS
  • 2. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 124 | P a g e A. Photovoltaic (P.V) Solar Modules Figure2 indicates typical block diagram of PV system Using silicon being a main constituent of sand which one of the most abundant element on earth is used in the manufacturing of solar cell also known as photovoltaic cell. Combination of several solar cells design is said to be solar module and it is also an weather proof unit. Incident light is absorbed by the solar cell which is diode and it is converted into electricity. Physically and electrically connected solar modules will give rise of solar panels. Energy consumption must be estimated to determine the size of PV modules. Therefore size of PV module is calculated as Wp [5]. Energy consumption measures in watts or kilowatts where isolation is in KWh/m2 /Day. Figure 2 Photovoltaic System Block diagram consists of solar panels which it absorbs the light energy from sunlight by using MPPT controller and the obtained electrical energy is converted from dc to ac and it is given to load the controller is assisted by battery for continuous supply. The ratings of the solar cell in the panel is given below. Specification of single solar cell: Nominal Power Pmax =85W, Voltage at maximum power =29.12V, Current at maximum power =5.95A, Open circuit voltage of single module =36.02V, Short circuit current =7.78A, Solar cell per module =36, Open circuit voltage of single solar cell =0.6V, Irradiance =1000W/m2, So in order to obtain the 2.2kW power output we connected 17 module in series. B. Wind Power Modelling Conversion of wind energy to electrical Energy and to predict the output production of wind turbine generators (WTG) various mathematical models have been developed. For this purpose a statistical function found which known as Weibull distribution function is used to find the wind distributed in the site selected of the case study and monthly/annually mean speed of the wind at the site. Therefore the Weibull distribution function accepted more for this purpose.[10,11] .The two parameter Weibull distribution function mathematically expressed in Eq[2],the cumulative distribution function it has in Eq 4 is given as Speed of wind is V-shape parameter is k which is dimension less, scale parameter of the distribution function is C (m/s), To determine C and K widely accepted approximations are given in equations 1 and 2 respectively [11,12] (1) C= (2) Where V´ = mean speed (ms-1 ) Area swept out by the rotor and the density of the air and the cube of the wind speed is directly proportional to the amount of power transferred to a wind turbine, the power P in the Wind is given by The power P in the wind is given by P = ½ Cp. ρ.A. V´3 (3) Power coefficient of the turbine is given by Cp, A maximum theoretical value of 0.593 been proposed for Cp[8,9] ρ = Air density (kg/m3), A (Rotor swept area) = (m2 ) (4) Where D is diameter of rotor blade(m) and V1 =Mean speed of wind(ms-1) Wind Energy Conversion System Pm (watts) = 1/2 ρ*A*V3 *Cp Pm is the mechanical output power of the turbine. Cp is the turbine power coefficient, ρ is the air density, A is the turbine swept area, V is the wind speed Function of tip speed ratio λ given by: λ = Ω*R/V Ω: Rotational speed of blades R: Radius of turbine blades V: Wind speed Figure-4 Simulink model of wind energy conversion system
  • 3. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 125 | P a g e C. Battery Subsystem In enhancing systems which are hybrid battery energy storage system (BESS) has a great significance which stabilizes and permits the system to maintain at a constant and stable output despite of load fluctuations .It also covers the deficient energy in case where there is a lack of primary energy sources like sun and wind. To meet the challenges of utility application battery technology have been improved significantly. The high energy density, round trip efficiency, high energy capability, cycling capability, initial cost and life span are key factors of battery for storage applications. Various types of battery technologies are available for large scale storage energy system, but the lead acid technology is a low cost option and mature technology which is suitable in rapid discharge/charge large bulk storage system but limited life cycle and the low energy density are to be the main disadvantage of this technology Battery simulation model: Figure-5:Simulink model of battery bank Figure-6 Simulink model D. Modelling of 3 phase SPWM inverter DC electricity from sources such as solar panels, batteries, or fuel cells to AC electricity by an inverter.at any required voltage in particular operation AC equipment is designed for mains operation electricity.in the presence of main supply the battery voltage is maintained constant by using controlled chargers however in the absence of mains the output voltage can be decreased by decreasing the battery voltage. Output voltage can be changed by variation of load. Web browsers, industrial instrumentation, note book computers, entertainment systems and automotive are used this constant current output voltage inverters. Wide range of topologies are available in the sine wave inverters.by using toroidal transformer with an output filter high frequency switching is possible with a DC link in the CVT(Current voltage transformer) and secondary .the common goal is to bring the sinusoidal output. But the output waveforms get distorted and efficiency gets effect due to certain critical loads such as computers, fluorescent lights with electronic ballasts, television, microwave ovens etc. Figure-7 Simulation model of spwm inverter E. Modelling of boost converter Boost converter is used to step-up the dc output voltage of both the energy systems. Boost converter used here is operating in a closed loop which maintains the dc output voltage at the common dc link as constant irrespective of the environmental variation. That results in the fluctuation of dc output from both the energy systems. Closed loop operation is done by using PID controller. Here for example 435V as an output of boost converter so we fixed the reference input of PID controller as 435V and this reference is compared with the output voltage of
  • 4. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 126 | P a g e boost converter, and the error signal is goes to the PWM block, inside the PWM block we have a carrier signal of very high frequency which is compared with the error signal of PID controller. Frequency of carrier signal is kept at 20 KHz. Figure-8 Circuit Diagram of Boost Converter Basic Configuration of a Boost Converter: Shows the basic configuration of a boost converter where the switch is integrated in the used Integrated circuit. Lower power converters which are having the diode are replaced by a second switch which is integrated to the converter. If this is the case, all equations in this document apply besides the power dissipation equation of the diode. Figure9-boost converter-close loop Necessary Parameters of the Power Stage 1. Input voltage range: Vin (max) and Vin (min) 2. Nominal output voltage: Vout 3. Maximum output current: Iout(max) 4. Integrated circuit which uses to develop the boost converter By knowing the above parameters power stage calculation can be done by mat lab program given below USER DEFINED PROGRAM FOR BOOST CONVERTER % the following are four parameters needed to calculate the power stage: %1.input voltage range: Vin (max) and Vin (min) %2.Nominal output voltage: out %3.maximum output current: out(max) clc; disp('boost converter calculation') Vin=input('ener the minimum input voltage::'); Vin1=input('ener the maximum input voltage::'); Vout=input('enter the output voltage::'); I=input('enter the maximum output current::'); fs=input('enter the switching frequency;;'); %calculation of maximum switch current n=0.9; D=1-((Vin*n)/Vout);%duty cycle di=2*I*(Vout/Vin);%inductor ripple current L=(Vin*(Vout-Vin))/(di*fs*Vout);%inductor value %dv=(I/(1-D))+(di/2); dv=0.5 c=I*D/(fs*dv);%output capacitor value R=Vout/I; disp('duty cycle') D disp('INDUCTOR VALUE::::') L disp('voltage ripple:::') dv disp('capacitor value microfarad:::') C=c; C R disp('*****') F.Rectifier Simulink modelling Figure10-rectifier simulink model III. ANALYSIS OF RESULTS: Simulating the above circuits we get the following results A. PV Module power ,current and voltage out puts in hybrid model is given below the parameters are also given to obtain the desired output and the output of the PV is given to the boost converter as shown in the main block diagram Output Voltage = 505 V getting constant corresponding to 1000 insolation Each PV
  • 5. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 127 | P a g e module produces =32.97V Output Power = 2022 W getting constant corresponding to 1000 insolation Each PV module produces 131.88W Figure11-pv results B. Figure12-wind power results C. Figure14-voltage in wind system D. Boost converter programme results: 1 Min i/p volt age Max i/p volta ge Outpu t voltag e Outpu t curre nt Switc hing frequ ency Comp onent s 502. 5 502. 5 1500 48 10000 0 Dut y Cyc le Di Induc tor Value (L) Volta ge Rippl e Capac itance (µF) Resist ance 0.5 226. 87 1.473 0*e^- 005 0.5 5.817 8*e^ -004 39.47 37 2 Min i/p volt age Max i/p volta ge Outpu t voltag e Outpu t curre nt Switc hing frequ ency Comp onent s 435 435 1000 28 40000 Dut y Cyc le Di Induc tor Value (L) Volta ge Rippl e Capac itance (µF) Resist ance 0.5 128. 735 4.772 9*e^- 005 0.5 9.737 0*e^ -004 35.71 3 3 Min i/p volt age Max i/p volta ge Outpu t voltag e Outpu t curre nt Switc hing frequ ency Comp onent s 420 420 1000 28 30000 Dut y Cyc le Di Induc tor Value (L) Volta ge Rippl e Capac itance (µF) Resist ance 0.5 128. 735 4.772 9*e^- 005 0.5 9.737 0*e^- -004 32 E. Boost converter: Figure13-boost converter current and voltage output F.
  • 6. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 128 | P a g e Figure14-Output Current Wave Form Of Spwm Inverter G. Results obtained from rectifier: Figure15-rectifier output voltage H. Figure16-Results of battery model I. Figure17-output voltage of dc-link in system IV. CONCLUSION Simulation of the PV cells, wind energy conversion system ,boost converter ,inverter, rectifier, single pulse width modulated inverter done by using Simulink mat lab .Boost converter triggered by using GTOs with the help of PWM technique and the output of the individual is given to DC link. The combined output which is given to grid by using stepdown transformer used for various applications . I can be further improved by including other renewable sources like fuel cells, geothermal etc. REFERENCES [1] A.B. Kanase-Patil*, R.P. Saini, M.P. Sharma, ―Sizing of integrated renewable energy system based on load profiles and reliability index for the state of Uttarakhand in India‖ ELSEVIER, Renewable Energy (36) 2011.pp.2809-2821 [2] AkieUehara,,AlokPratap, Tomonori Goya, Etc.. ―A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS‖ IEEE Transactions on Energy Conversion, VOL. 26, NO.2, JUNE 2011 [3] BelginEmreTurkay, Ali YasinTelli ―Economic Analysis of Standalone and grid connected hybrid energy systems‖ ELSEVIER, Renewable Energy (36) 2011.pp.1931-1943 [4] C Wang and M Nehrir, "Power management of a stand-alone wind/photovoltaic/fuel cell energy system," IEEE Transactions on Energy Conversion, vol. 23, no. 3, pp. 957- 967, 2008. [5] Chunhua Liu, K. T. Chau, and Xiaodong Zhang, ―An Efficient Wind–Photovoltaic Hybrid Generation System Using Doubly
  • 7. Vankadara Sampath kumar Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 3, ( Part -1) March 2015, pp.123-129 www.ijera.com 129 | P a g e Excited Permanent-Magnet Brushless Machine IEEE Transactions on Industrial Electronics, VOL. 57 , NO. 3,pp. 831-839 MARCH 2010 [6] Dheeraj Kumar Khatod, Vinay Pant, and Jaydev Sharma.‖ Analytical Approach for Well-Being Assessment of Small Autonomous Power Systems with Solar and Wind Energy Sources‖ IEEE Transactions on Energy Conversion, VOL. 25, NO . 2, pp.535-545 JUNE 2010 [7] 7 Dong Chen, Junming Zhang, Member, IEEE, and Zhaoming Qian, Senior Member, IEEE ―An Improved Repetitive Control Scheme for Grid- Connected Inverter With Frequency-Adaptive Capability‖ IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 60, NO. 2, FEBRUARY 2013 [8] F Valenciaga and P Puleston, "Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy," IEEE Transactions on Energy Conversion, vol. 20, no. 2,pp. 398-405, 2005 [9] G Mahesh Manivanna, R Rama Reddy, ―Analysis and simulation of Seven Level Inverter System” International Journal of Engineering Techno science Vol (1) 2010.pp.62-68 [10] J Carrasco et al., "Power-electronic systems for the grid integration of renewable energy sources: A Survey ," IEEE Transactions on Industrial Electronics, vol. 53, no. 4, pp. 1002–1016,2008 [11] S Kjaer, J Pedersen, and F Blaabjerg, "A review of single-phase grid-connected inverters for photovoltaic modules," IEEE Transactions on Industry Applications, vol. 41, no. 5, pp. 1292–1306,2005 [12] Seul-Ki Kim, Jin-Hong Jeon, Chang-Hee Cho, Jong-Bo Ahn, and Sae-Hyuk Kwon, Dynamic Modeling and Control of a Grid- Connected Hybrid Generation System With Versatile Power Transfer IEEE Transactions on Industrial Electronics, VOL. 55, NO.4, pp .1677-1688 APRIL 2008 [13] Shuitao Yang, Qin Lei, Fang Z. Peng, and Zhaoming Qian; ―A Robust Control Scheme for Grid- Connected Voltage-Source Inverters‖ IEEE Transactions on Industrial Electronics, VOL. 58, NO. 1, pp.202-212 JANUARY 2011 [14] T Gebre, T Undeland, O Ulleberg, and P Vie, "Optimal load sharing strategy in a hybrid power system based on PV/Fuel Cell/ Battery/Super capacitor," in International Conference on Clea Electrical Power, Capri, Itali, pp .141-146, 2009 . [15] Tapas Kumar Saha, and DebaprasadKastha,‖ Design Optimization and Dynamic Performance Analysis of a Stand-Alone Hybrid Wind–Diesel Electrical Power Generation System‖ IEEE transactions on Energy Conversion, VOL. 25, NO. 4, pp. 1209-1217 DECEMBER 2010 [16] S. Ashok, ―Optimised model for community- based hybrid energy system‖ ELSEVIER, Renewable Energy (32) 2007.pp 1155-1164 2014 [17] Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration Ming Yin, Student Member, IEEE, Gengyin Li, Member, IEEE, Ming Zhou, Member, IEEE, Chengyong Zhao, Member, IEEE