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Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar

WIND SOLAR HYBRID POWER SYSTEM
MODELING AND ANALYSIS
PRESENTED AT

4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY
RESEARCH
By K. Vijayaraghavan1*, H. Tyagi2, M. Singh1, S. Randhawa1
1: Simon Fraser University; 2: Indian Institute of Technology Ropar
*: krishna@sfu.ca
4th International Conference on Advances in Energy Research: Paper 363

OUTLINE
•
•
•
•
•
•
•

Introduction
Photovoltaic Module
Wind Turbine
Battery Bank
Control System
Simulation
Conclusion

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

INTRODUCTION

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND
ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

INDIA’S CRUMBLING ELECTRICITY
INFRASTRUCTURE
•Due to rapid economic growth,
electricity demand has
skyrocketed in India
•

•

Rapid rise in the living
standards.
Increase in demand for
electricity for running
various appliances, as well
as for heating and airconditioning equipment

•Places tremendous strain on
ailing centralized grid burning
fossil fuel
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

RENEWABLE ENERGY IN INDIA
•80,000 villages are without electricity
[1]

• Amounts to nearly 200 000 people [1]
•Many villages are un-electrifiable dues
to remoteness
•Renewable energy poses as a viable
alternative due to verstality
• As per gov. estimates, India receives
5,000tn kWh/year, of solar radiation
• Typically, it has been observed that the
wind is stronger during winter and
spring, then depletes during the summer
• Highlights the advantage of a hybrid of
both a photovoltaic module and wind
turbine system

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

HYBRID POWER SYSTEM
• The model proposed will consist of:
1.
2.
3.
4.

Photovoltaic (PV) Module
Wind Turbine (WT)
Battery Bank
Microcontroller to implement control algorithms

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

Photovoltaic Module

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

PHOTOVOLTAIC MODULE
 Equivalent Circuit of PV
Module:

 SUNPOWER A300 Solar cell
Specifications:
Open Circuit Voc
Voltage

0.665

V

Short Circuit I-sc
Current

5.75

A

Voltage
at Vmpp
max power

0.560

V

Current
at Impp
max power

5.35

A

Maximum
Power

3.0

W

Pm

• Full module consists of 200 mono-crystalline cells all connected in series
(Value used in MATLAB simulation
• MATLAB model is implemented in a way that a current is calculated from a
given voltage, solar irradiance and ambient temperature
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

TYPICAL I-V AND P-V CURVE OF PV CELL
• PV cell produces an I-V curve due to the varying source
• The point where the cell produces its maximum power, this point
is called the Maximum Power Point (MPP)
• MPP tracking algorithms are implemented to keep the cell
operating at its optimum power.

Typical I-V and P-V curves
of a PV module [7]

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

Wind Turbine

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

WIND POWER GENERATION SYSTEM
• Aeolos-H 500w Wind
Turbine Specifications:
Cut-in
Velocity

Vci

2.5 m/s

Cut-off
Velocity

Vco

45m/s

Rated
Velocity

Vr

• Power generation curve:

12 m/s

•MATLAB function takes in wind speed parameter and outputs a
corresponding power value as per the specifications above
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

Battery Bank

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

BATTERY BANK MATHEMATICAL MODEL
• To ensure the battery is used in an efficient manner the State of Charge
must be monitored continually

•Charging Equation:

SOC(t) = SOC(t -1) + P/(1000* Cb)

(1)

•Discharging Equation:

SOC(t) = SOC(t -1) - P/(1000* Cb)

(2)

•Where Cb is the total nominal capacity of the battery in kilowatt-hours
[2]
•MATLAB function takes in the amount of power demanded (P) and
updates the SOC of the battery
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

Control System

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

CONTROL SYSTEM OBJECTIVES
• The interaction of all aspects in the HPS can be

•
•
•

staggering and may lead to a loss in efficiency.
These can be overcome by implementing control
mechanisms to optimize the performance of the
system.
Maximum Power Point Tracking (MPPT)
Monitoring the State of Charge (SOC) and Depth of
Discharge (DOD) of the battery bank.

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

MAXIMUM POWER POINT TRACKING
• The point where the cell produces its

•
•

Mechatronic Systems
Engineering

maximum power, this point is called the
Maximum Power Point (MPP)
Perturbation and Observation Method
(P&O) was used in this simulation
This method functions by periodically
perturbing the array terminal voltage
and comparing the current PV power
output with that of the previous
perturbation cycle [10]

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

CONTROL FLOW ALGORITHM
• In order for the HPS to run in a smooth and

environmentally manner optimal it must be
controlled by an effective system
• Power produced from the WT and PV module
has priority over the battery bank in providing
power to the load
• Battery is used only when the demand is higher
than the capacity of the power produced by the
WT and PV module
• The control system must also utilize any surplus
power encountered to charge the battery
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

CONTROL FLOW ALGORITHM
Start
Loop

SUPPLY
LOAD

Y

Gather Data

P = (PW +
PS) - PD

PWIND (PW); PSOLAR (PS); PDEMAND (PD)

Y

BATTERY
CHARGED?

P≥0

N

ENOUGH
POWER FROM
BATTERY?

N

DISCHARGE
BATTERY TO LOAD
DUMP
SURPLUS

CHARGE BATTERY
WITH SURPLUS

Mechatronic Systems
Engineering

N

Y

SUPPLY
LOAD

LOAD
DEFICIT
End
Loop

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

CONTROL FLOW ALGORITHM
• The PV module and WT would be connected to a controller,
which will regulate the flow of power to the load and to the
battery through assigning duty cycles to an assortment of
converters

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

Simulation

WIND SOLAR HYBRID POWER
SYSTEM MODELING AND ANALYSIS
Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

LOAD PROFILE AND
METEOROLOGICAL DATA
•Residential lighting load
in Maharashtra was
scaled down to 80% to
its original value to be a
suitable load for the
modeled system
•Can be correlated with
typical load demands of
small urban communities
and rural villages
The meteorological data
was taken from the
National Renewable
Energy Laboratory
(NREL) [13]

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

HYBRID POWER SYSTEM OUTPUT
Hourly output
of system from
meteorological
parameters

Hour

Mechatronic
Engineering

Ambient Temp
(oC)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Systems
19
20
21
22
23

29.7
29.0
28.7
28.0
27.8
27.4
28.0
28.8
29.3
29.5
29.3
29.0
30.0
30.3
31.0
31.0
30.0
30.0
29.0
29.0
29.0
28.0
26.0

S. Irradiance.
kW/m2

Wind
Speed
(m/s)

PV
Power
(W)

WT
Power
(W)

0
4.2
1.19
74.52
0
4.5
1.01
101.46
0
6.9
0.93
477.07
0
9.3
0.74
500
0
4.8
0.69
132.27
0
0
0.59
0
0.08
0
44.46
0
0.25
0.9
140.26
0
0.44
1.8
243.03
0
0.35
2.7
195.85
0
0.68
3.6
366.08
31.10
0.83
4.5
440.14
101.46
0.76
6.3
404.13
352.92
0.59
9.3
318.96
500
0.57
12.3
312.14
500
0.44
7.8
240.64
500
0.47
7.8
261.05
500
0.28
3
155.48
0
0.11
3
58.63
0
0
3
1.01
0
Mechanical Engineering
0
1.5
1.01
0
0
4.5
0.74
101.46
0.23
0
Indian0 Institute of3Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

PV POWER OUTPUT
The power output from an
efficient PV module is
directly correlated with the
solar irradiance levels

Figure shows the P-V
curves from 1000 to 1200
hours.

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

PERIODS OF DEFICIT AND SURPLUS POWER
•

Graphical representation of
system’s output:

•

Output compared with load profile
to give times of deficit of surplus:

•

Power outputs were combined
and subtracted from the load
profile to give demand

•

Negative values denote deficit
while positive values give surplus.
These are used to compute the
batteries

Mechatronic Systems
Engineering

•

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

STORAGE STATE OF CHARGE
• SOC only reduces approximately seven percent
• underscores the advantage of an hybrid power system’s ability
to reduce its storage requirement.
• The curve slopes downward when discharging and upwards
when charging

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

CONCLUSION
• The integration of solar, wind power and a battery
•
•
•

bank can benefit the remote areas as well as urban
residential areas of India as our data supports
These facts give incentive for companies in the
renewable resource industry to penetrate this
relatively untapped market.
India, a country of vast natural resource, can become
a major player in the renewable energy sector
Efficient hybrid power systems are a step in that
direction

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

ACKNOWLEDGMENTS
• The support provided by the School of Mechanical, Materials &
Energy Engineering at IIT Ropar is gratefully acknowledged.

• The authors would also like to acknowledge generous support
from SFU BC-India Mobility Initiatives (a Western Economic
Diversification Canada (WD) funded initiative) that enabled Mr.
Randhawa and Mr. Singh to travel to IIT-Ropar and to conduct a
portion of their research there. The authors would also like to
thank Mr. Nav Chima, Project Director, SFU BC-India Mobility
Initiatives, for facilitating this collaboration.

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar
4th International Conference on Advances in Energy Research: Paper 363

QUESTIONS?

Questions on this project or other Queries may also be directed to
krishna@sfu.ca

Mechatronic Systems
Engineering

Mechanical Engineering
Indian Institute of Technology Ropar

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363 krishna wind_solar_hybrid_iitb

  • 1. Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS PRESENTED AT 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESEARCH By K. Vijayaraghavan1*, H. Tyagi2, M. Singh1, S. Randhawa1 1: Simon Fraser University; 2: Indian Institute of Technology Ropar *: krishna@sfu.ca
  • 2. 4th International Conference on Advances in Energy Research: Paper 363 OUTLINE • • • • • • • Introduction Photovoltaic Module Wind Turbine Battery Bank Control System Simulation Conclusion Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 3. 4th International Conference on Advances in Energy Research: Paper 363 INTRODUCTION WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 4. 4th International Conference on Advances in Energy Research: Paper 363 INDIA’S CRUMBLING ELECTRICITY INFRASTRUCTURE •Due to rapid economic growth, electricity demand has skyrocketed in India • • Rapid rise in the living standards. Increase in demand for electricity for running various appliances, as well as for heating and airconditioning equipment •Places tremendous strain on ailing centralized grid burning fossil fuel Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 5. 4th International Conference on Advances in Energy Research: Paper 363 RENEWABLE ENERGY IN INDIA •80,000 villages are without electricity [1] • Amounts to nearly 200 000 people [1] •Many villages are un-electrifiable dues to remoteness •Renewable energy poses as a viable alternative due to verstality • As per gov. estimates, India receives 5,000tn kWh/year, of solar radiation • Typically, it has been observed that the wind is stronger during winter and spring, then depletes during the summer • Highlights the advantage of a hybrid of both a photovoltaic module and wind turbine system Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 6. 4th International Conference on Advances in Energy Research: Paper 363 HYBRID POWER SYSTEM • The model proposed will consist of: 1. 2. 3. 4. Photovoltaic (PV) Module Wind Turbine (WT) Battery Bank Microcontroller to implement control algorithms Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 7. 4th International Conference on Advances in Energy Research: Paper 363 Photovoltaic Module WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 8. 4th International Conference on Advances in Energy Research: Paper 363 PHOTOVOLTAIC MODULE  Equivalent Circuit of PV Module:  SUNPOWER A300 Solar cell Specifications: Open Circuit Voc Voltage 0.665 V Short Circuit I-sc Current 5.75 A Voltage at Vmpp max power 0.560 V Current at Impp max power 5.35 A Maximum Power 3.0 W Pm • Full module consists of 200 mono-crystalline cells all connected in series (Value used in MATLAB simulation • MATLAB model is implemented in a way that a current is calculated from a given voltage, solar irradiance and ambient temperature Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 9. 4th International Conference on Advances in Energy Research: Paper 363 TYPICAL I-V AND P-V CURVE OF PV CELL • PV cell produces an I-V curve due to the varying source • The point where the cell produces its maximum power, this point is called the Maximum Power Point (MPP) • MPP tracking algorithms are implemented to keep the cell operating at its optimum power. Typical I-V and P-V curves of a PV module [7] Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 10. 4th International Conference on Advances in Energy Research: Paper 363 Wind Turbine WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 11. 4th International Conference on Advances in Energy Research: Paper 363 WIND POWER GENERATION SYSTEM • Aeolos-H 500w Wind Turbine Specifications: Cut-in Velocity Vci 2.5 m/s Cut-off Velocity Vco 45m/s Rated Velocity Vr • Power generation curve: 12 m/s •MATLAB function takes in wind speed parameter and outputs a corresponding power value as per the specifications above Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 12. 4th International Conference on Advances in Energy Research: Paper 363 Battery Bank WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 13. 4th International Conference on Advances in Energy Research: Paper 363 BATTERY BANK MATHEMATICAL MODEL • To ensure the battery is used in an efficient manner the State of Charge must be monitored continually •Charging Equation: SOC(t) = SOC(t -1) + P/(1000* Cb) (1) •Discharging Equation: SOC(t) = SOC(t -1) - P/(1000* Cb) (2) •Where Cb is the total nominal capacity of the battery in kilowatt-hours [2] •MATLAB function takes in the amount of power demanded (P) and updates the SOC of the battery Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 14. 4th International Conference on Advances in Energy Research: Paper 363 Control System WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 15. 4th International Conference on Advances in Energy Research: Paper 363 CONTROL SYSTEM OBJECTIVES • The interaction of all aspects in the HPS can be • • • staggering and may lead to a loss in efficiency. These can be overcome by implementing control mechanisms to optimize the performance of the system. Maximum Power Point Tracking (MPPT) Monitoring the State of Charge (SOC) and Depth of Discharge (DOD) of the battery bank. Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 16. 4th International Conference on Advances in Energy Research: Paper 363 MAXIMUM POWER POINT TRACKING • The point where the cell produces its • • Mechatronic Systems Engineering maximum power, this point is called the Maximum Power Point (MPP) Perturbation and Observation Method (P&O) was used in this simulation This method functions by periodically perturbing the array terminal voltage and comparing the current PV power output with that of the previous perturbation cycle [10] Mechanical Engineering Indian Institute of Technology Ropar
  • 17. 4th International Conference on Advances in Energy Research: Paper 363 CONTROL FLOW ALGORITHM • In order for the HPS to run in a smooth and environmentally manner optimal it must be controlled by an effective system • Power produced from the WT and PV module has priority over the battery bank in providing power to the load • Battery is used only when the demand is higher than the capacity of the power produced by the WT and PV module • The control system must also utilize any surplus power encountered to charge the battery Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 18. 4th International Conference on Advances in Energy Research: Paper 363 CONTROL FLOW ALGORITHM Start Loop SUPPLY LOAD Y Gather Data P = (PW + PS) - PD PWIND (PW); PSOLAR (PS); PDEMAND (PD) Y BATTERY CHARGED? P≥0 N ENOUGH POWER FROM BATTERY? N DISCHARGE BATTERY TO LOAD DUMP SURPLUS CHARGE BATTERY WITH SURPLUS Mechatronic Systems Engineering N Y SUPPLY LOAD LOAD DEFICIT End Loop Mechanical Engineering Indian Institute of Technology Ropar
  • 19. 4th International Conference on Advances in Energy Research: Paper 363 CONTROL FLOW ALGORITHM • The PV module and WT would be connected to a controller, which will regulate the flow of power to the load and to the battery through assigning duty cycles to an assortment of converters Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 20. 4th International Conference on Advances in Energy Research: Paper 363 Simulation WIND SOLAR HYBRID POWER SYSTEM MODELING AND ANALYSIS Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 21. 4th International Conference on Advances in Energy Research: Paper 363 LOAD PROFILE AND METEOROLOGICAL DATA •Residential lighting load in Maharashtra was scaled down to 80% to its original value to be a suitable load for the modeled system •Can be correlated with typical load demands of small urban communities and rural villages The meteorological data was taken from the National Renewable Energy Laboratory (NREL) [13] Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 22. 4th International Conference on Advances in Energy Research: Paper 363 HYBRID POWER SYSTEM OUTPUT Hourly output of system from meteorological parameters Hour Mechatronic Engineering Ambient Temp (oC) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Systems 19 20 21 22 23 29.7 29.0 28.7 28.0 27.8 27.4 28.0 28.8 29.3 29.5 29.3 29.0 30.0 30.3 31.0 31.0 30.0 30.0 29.0 29.0 29.0 28.0 26.0 S. Irradiance. kW/m2 Wind Speed (m/s) PV Power (W) WT Power (W) 0 4.2 1.19 74.52 0 4.5 1.01 101.46 0 6.9 0.93 477.07 0 9.3 0.74 500 0 4.8 0.69 132.27 0 0 0.59 0 0.08 0 44.46 0 0.25 0.9 140.26 0 0.44 1.8 243.03 0 0.35 2.7 195.85 0 0.68 3.6 366.08 31.10 0.83 4.5 440.14 101.46 0.76 6.3 404.13 352.92 0.59 9.3 318.96 500 0.57 12.3 312.14 500 0.44 7.8 240.64 500 0.47 7.8 261.05 500 0.28 3 155.48 0 0.11 3 58.63 0 0 3 1.01 0 Mechanical Engineering 0 1.5 1.01 0 0 4.5 0.74 101.46 0.23 0 Indian0 Institute of3Technology Ropar
  • 23. 4th International Conference on Advances in Energy Research: Paper 363 PV POWER OUTPUT The power output from an efficient PV module is directly correlated with the solar irradiance levels Figure shows the P-V curves from 1000 to 1200 hours. Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 24. 4th International Conference on Advances in Energy Research: Paper 363 PERIODS OF DEFICIT AND SURPLUS POWER • Graphical representation of system’s output: • Output compared with load profile to give times of deficit of surplus: • Power outputs were combined and subtracted from the load profile to give demand • Negative values denote deficit while positive values give surplus. These are used to compute the batteries Mechatronic Systems Engineering • Mechanical Engineering Indian Institute of Technology Ropar
  • 25. 4th International Conference on Advances in Energy Research: Paper 363 STORAGE STATE OF CHARGE • SOC only reduces approximately seven percent • underscores the advantage of an hybrid power system’s ability to reduce its storage requirement. • The curve slopes downward when discharging and upwards when charging Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 26. 4th International Conference on Advances in Energy Research: Paper 363 CONCLUSION • The integration of solar, wind power and a battery • • • bank can benefit the remote areas as well as urban residential areas of India as our data supports These facts give incentive for companies in the renewable resource industry to penetrate this relatively untapped market. India, a country of vast natural resource, can become a major player in the renewable energy sector Efficient hybrid power systems are a step in that direction Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 27. 4th International Conference on Advances in Energy Research: Paper 363 ACKNOWLEDGMENTS • The support provided by the School of Mechanical, Materials & Energy Engineering at IIT Ropar is gratefully acknowledged. • The authors would also like to acknowledge generous support from SFU BC-India Mobility Initiatives (a Western Economic Diversification Canada (WD) funded initiative) that enabled Mr. Randhawa and Mr. Singh to travel to IIT-Ropar and to conduct a portion of their research there. The authors would also like to thank Mr. Nav Chima, Project Director, SFU BC-India Mobility Initiatives, for facilitating this collaboration. Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar
  • 28. 4th International Conference on Advances in Energy Research: Paper 363 QUESTIONS? Questions on this project or other Queries may also be directed to krishna@sfu.ca Mechatronic Systems Engineering Mechanical Engineering Indian Institute of Technology Ropar

Editor's Notes

  1. EachSunpower cell has a max power of 3W and in our simulation we used 200 of these cells where the power peaked at 440W
  2. Since solar cells have a varying source (solar radiation) they produce and I-V curve. Which forces us to find an optimal voltage to operate at.
  3. Aeolos was chosen due to the fact it had a high power rating with a sufficient wind speed. The turbine only operates in its variable mode between 2.5 and 12 m/s. Since its rated power its max power output during our simulation was 500W and the turbine was not forced to cut out.
  4. Obviously very small load profile, because of the size of the hybrid. We modeled a very small hybrid for simplicity and to test it on a smaller scale. For powering larger loads one can simply “scale up” the system ie adding solar cells and turbines.
  5. This is the raw data from the simulation and displays the power out for the time of day, temp, irradiance, and wind speed. Graphical form is shown in the next slide
  6. I-V curves produced by MATLAB simulation at peak hours. It can be observed that the max power point for each curve peaks at noon
  7. Power output compared with load profile can be used to produce a graph depicting the expected times of surplus and deifict. Of course during deficit hour storage will come into play to satisfy the load
  8. The battery’s SOC maintains a level throughout the day, which is encouraging. Due to the residential load it gave the system time to charge at midday.