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Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325

RESEARCH ARTICLE

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OPEN ACCESS

Massive Energy Production from Renewable Sources
Sheetal Shinkhede1, Dr. C.D.Kotwal2
The M.S.University of Baroda, Vadodara1
SVIT, VASAD2
Abstract
Renewable and non-conventional distributed energy resources (DERs), such as, wind, solar PV, micro-turbines,
fuel cells, diesel generators etc. are gradually becoming more popular as energy efficient and low-emission
energy sources. Demand-side management, along with the integration of distributed energy generation and
storage, are considered increasingly essential elements for implementing the Micro-grid concept and balancing
massive energy production from renewable sources. This paper reviews on a micro- grid concept in which the
demand-side comprises traditional users as well as users owning some kind of distributed energy sources and/or
energy storage devices. This paper gives simulation results of PV-Wind-and battery, Hybrid system for
emergency load using HOMER software.

I.

Introduction

There has been increasing interest in the use
of applications of renewable energy that can reduce
the impact of CO2 emissions. However, generically,
the level of electric power from renewable energy,
e.g., wind generation (WG), tends to fluctuate with
meteorological changes, and also photovoltaic (PV)
cells generate power only in daylight hours. On the
other hand, the volume of the load demanded tends to
vary with how the loads are used. Therefore, when we
use power from renewable energy, we depend on
utility power to balance generation and demand.
However, there are limits which utility power can
accept. Economic, technology and environmental
incentives are changing the face of electricity
generation and transmission. Centralized generating
facilities are giving way to smaller, more distributed
generation partially due to the loss of traditional
economies of scale.
Distributed generation encompasses a wide
range of prime mover technologies, such as internal
combustion (IC) engines, gas turbines, Micro-turbine,
photovoltaic, fuel cells and wind-power. These
emerging technologies have lower emissions, and have
the potential to have lower cost, thus negating
traditional economies of scale [1]. The applications
include power support at substations, deferral of T&D
upgrades, and onsite generation. A better way to
realize the emerging potential of distributed generation
is to take a system approach which views generation
and associated loads as a subsystem or a “micro-grid”.
During disturbances, the generation and corresponding
loads can separate from the distribution system to
isolate the micro-grid’s load from the disturbance (and
thereby maintaining high level of service) without
harming the transmission grid’s integrity. Intentional
islanding of generation and loads has the potential to
provide a higher local reliability than that provided by
the power system as a whole. The size of emerging
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generation technologies permits generators to be
placed optimally in relation to heat loads allow for use
of waste heat [2]. Such applications can more than
double the overall efficiencies of the systems. One of
the main differences between conventional vertically
integrated systems and restructured systems is the
presence of DG units in the latter. Fig. 1 presents a
schematic for the two different systems.

Fig. 1 conventional vertically integrated systems and
restructured system
Micro-grid consists of a group of radial
feeders, which could be part of a distribution system or
a building’s electrical system. There is a single point
of connection to the utility called point of common
coupling. Some feeders, (Feeders A-C) have sensitive
loads, which require local generation.

II.

Micro grid system schematic and
component

Micro-grid has two critical components, the
static switch and the micro-source. The static switch
has the ability to autonomously island the micro-grid
from disturbances such as faults, IEEE 1547 events or
power quality events. After islanding, the reconnection
of the micro-grid is achieved autonomously after the
tripping event is no longer present. This
synchronization is achieved by using the frequency
1320 | P a g e
Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325
difference between the islanded micro-grid and the
utility grid insuring a transient free operation without
having to match frequency and phase angles at the
connection point [3]. Each micro-source can
seamlessly balance the power on the islanded Microgrid using a power vs. frequency droop controller.
This frequency droop also insures that the Micro-grid
frequency is different from the grid to facilitate
reconnection to the utility. In the paper a small grid is
form to meet the emergency of 200W/d and 46W peak
load.
A .Unit Power Control Configuration
In this configuration each DG regulate the
voltage magnitude at the connection point and the
power that the source is injecting, P. as shown in Fig.
2

With this configuration, if a load increases
anywhere in the micro-grid, the extra power come
from the grid, since every unit regulates to constant
output power. This configuration fits CHP applications
because production of power depends on the heat
demand. Electricity production makes sense only at
high efficiencies, which can only be obtained only at
high efficiencies, which can only be obtained only
when the waste heat is utilized.
B. Feeder Flow Control Configuration
In this configuration, each DG regulate the
voltage magnitude at the connection point and the
power that is flowing in the feeder at the points A, B,
C and D in Figure 2. With this configuration extra load
demands are picked up by the DG showing a constant
load to the utility grid. In this case, the micro-grid
becomes a true dispatch able load as seen from the
utility side, allowing for demand-side management
arrangements. When the system islands the local
feeder flow vs. frequency droop function insures the
power balance with the loads.
C. Mixed Control Configuration
In this configuration, some of the DGs
regulate their output power, P, while some others
regulate the feeder power flow, F. The same unit could
control either power or flow depending on the needs.
This configuration could potentially offer the best of
both worlds: some units operating at peak efficiency
recuperating waste heat, some other units ensuring that
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the power flow from the grid stays constant under
changing load conditions within the micro-grid.
In this configuration, some of the DGs regulate their
output power, P, while some others regulate the feeder
power flow, F. The same unit could control either
power or flow depending on the needs. This
configuration could potentially offer the best of both
worlds: some units operating at peak efficiency
recuperating waste heat, some other units ensuring that
the power flow from the grid stays constant under
changing load conditions within the micro-grid.

III.

Distributed Generation

Distributed generation, is the process of
generating electricity from many small energy sources
and connecting it directly to the distribution network
or on the customer’s side of the meter. It can also be
called as onsite generation, dispersed generation,
decentralized generation, decentralized energy or
distributed energy. From the definition, the DG
includes those generating units that cannot supply
reactive power and are located close to the customer or
the end user. However, there is no specific defined
capacity for the DGU. Distributed Generation (DG) is
a small generator spotted throughout a power system
network, providing the electricity locally to load
customers [10]. DG can be an alternative for
industrial, commercial and residential applications.
DG makes use of the latest modern technology which
is efficient, reliable, and simple enough so that it can
compete with traditional large generators in some
areas [4]. Placement of DGs is an interesting research
area due to economical reason. Distributed generation
systems (such as fuel cells, combustion engines,
micro-turbine, etc) can reduce the system loss and
defer investment on transmission and distribution
expansion. Appropriate size and optimal locations are
the keys to achieve it [13].
In the proposed system PV cell of 1 KW and
battery having rating of 6V, 225 AH, 1.35kWH is
considered to meet the demand of the load.
There are many differences between DG and the
conventional central power stations. These differences
include, Location: DG units are located near loads and
connected to distribution networks, unlike the central
plants, which are far away and, therefore, connected to
load centres via transmission networks;
Generation capacity: The generation capacity of DG
units is much smaller than that of the massive central
plants;Technology used: New cleaner technologies,
including renewable energy sources, are used as DG
units;Ownership: DG units can be owned by utilities,
customers or a third party.
A.

Benefits Of Distributed Generation
Consumer advocates who favour DG point
out that distributed resources can improve the
efficiency of providing electric power. They often
highlight that transmission of electricity from a power
plant to a typical user wastes roughly 4.2 to 8.9
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Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325
percent of the electricity as a consequence of aging
transmission equipment, inconsistent enforcement of
reliability guidelines, growing congestion. At the same
time, customers often suffer from poor power quality
variations in voltage or electrical flow that results from
a variety of factors poor switching, operations in the
network, voltage dips, interruptions, transients and
network disturbances from loads
B.

Technologies
DG can be divided into two main groups:
renewable DG and fuelled DG. Most fuelled DG
technologies use fossil fuels as their primary energy
resource to generate electricity, or as a means to
produce alternative fuels. Fuel-based technologies
include conventional steam and combustion turbines,
internal combustion (IC) engine generators, microturbine (MT), and fuel cells (FC).[5] Renewable
energy resources are becoming more important due to
fossil fuel resource depletion, price associated risks,
and environmental concerns. On the other hand,
renewable energy resources are sustainable and
environmentally friendly. Renewable resource-based
technologies include photovoltaic cells (PV), wind
turbines (WT), and small-scale hydro-generation.

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B.

Energy Security
The large penetration of DG in the system
can affect energy security. This effect can appear in
two forms: primary fuel diversification and power
system reliability. Although renewable technologies
(e.g., PV and WT) help diversifying the primary fuel
of electrical energy, most other DG technologies uses
natural gas, directly or indirectly, as a primary source
of energy. Therefore, the overall effect on fuel
diversity in the power system is expected to be limited
[6]. The increased demand and dependency on one
major primary fuel, natural gas, reduces energy
security. An exception to this effect is the CHP, where
higher fuel efficiency, lower fuel consumption; hence,
enhanced energy security could be achieved. DG could
enhance power system reliability by integrating the
available standby DG resources. It has been reported
that the availability of standby generation helped in
reducing blackout risks during California’s 2001
electricity crises [7]. Moreover, DG can enhance
system reliability by relieving distribution network
congestion and reducing the demand flowing over
transmission lines by using locally generated power.
In addition, since DG units are much smaller than
central power plants, lower capacity margin is needed
to operate the system with the same reliability
compared to a system with conventional large plants.
The main reliability concern for DG in this context is
the fact that most DG units are non-dispatchable due
to natural or operational unpredictability. In such
cases, DG might not be able to respond to demand
variations and this in turn reduces the system ability of
providing reserve power when needed
V.
Renewable Energy Sources
Wind Resource
Wind mills are used for various reasons is a
practice for several years. Now many nations
recognize the shortage of fossil fuels and importance
of wind energy. The wind energy has re-emerged as an
important source of sustainable energy resource
worldwide. The energy available in the wind depends
on the density and velocity. The density changes with
the temperature and pressure. The need to integrate the
renewable energy like wind into power system is to
make it possible to minimize the environmental impact
on conventional plant. As the ratio of installed wind
capacity to the system load increases, the required
equipment needed to maintain a stable AC grid
increases, forcing amount of wind power in a given
system. [9].
A.

IV.

A.

Energy Sources

Environmental Concerns
1.DG technologies have a wide range of
emission levels, from emission free (PV & wind) to
moderate (diesel). For fossil fuel DG technologies, the
authors in [6] identified two areas of concern: nitrogen
oxide effects on local air quality and the global
greenhouse gas emission effects on climate change.
2.
Although most DG technologies have lower
nitrogen oxides (NOx) emissions compared to coalfired power stations, they have higher emissions than
combined-cycle gas turbines with emission controls.
This situation imposes a serious limitation on DG in
areas where NOx emissions are of concern. Similarly,
except for CHP operation, DG greenhouse gas
emission rates are generally lower than those of coal
fired plants but higher than those of combined-cycle
gas turbines with emission controls, for most of fossil
fuel technologies. The authors recommend using
economic measures to encourage DG owners to reduce
emissions. As an example, carbon emission trading
would give DG owners an incentive to minimize
emissions [6].
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B. Diesel Engines
Diesel generators and combustion engines are
mainly used for off-grid generation. Low installed
capacity, high shaft efficiency, suitable for start-stop
operation, and high exhaust heat are some of the
advantages of combustion engines. These engines
convert heat from the combustion into work via
rotation of shaft. The shaft is directly coupled to the
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Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325

www.ijera.com

generator and electricity is produced. They run at a
speed defined by the frequency of supply grid [9].

C.

Photo Voltaic (Pv)
Photovoltaic systems convert energy from the
sun directly into electricity. They are composed of
photovoltaic cells, usually a thin wafer or strip of
semiconductor material that generates a small current
when sunlight strikes them. Multiple cells can be
assembled into modules that can be wired in an array
of any size. Small photovoltaic arrays are found in
wrist watches and calculators; the largest arrays have
capacities in excess of 5 MW. Photovoltaic systems
are cost-effective in small off-grid applications,
providing power, for example, to rural homes in
developing countries, off-grid cottages and motor
homes in industrialized countries, and remote
telecommunications, monitoring and control systems
worldwide. The PV plant is connected to grid via
DC/AC inverters of different technology. PV have
explosive growth rate, which is still less than one tenth
of wind. The solar resource data for Gujarat is
obtained from NASA surface meteorology and solar
website [10]. The approximate location of the site used
is 23.3000 latitude and 73.230090 longitudes from the
data daily solar radiation with respect to horizontal is
obtained.

Fig. 6 cost curve for PV cell
D. Battery Source:
There’s a promising new entry in the race to
build cheap batteries for storing energy from solar
panels and wind turbines. The technology is a cross
between a flow battery and an experimental type
called a lithium-sulphur battery. In a flow battery,
positive and negative liquid electrolytes are stored in
swimming-pool-size tanks. The batteries are attractive
because the amount of energy they store can be
increased simply by expanding these tanks, without
increasing the size of the electronic connections and
other battery parts needed to extract the energy. But
they require expensive ion membranes and large
amounts of material

.
Fig. 7 cost curve for battery
Ideally Cost curve of PV cell ( where replace cost
zero)is as shown Fig 5. The proposed model uses
0.1KW of PV cell having cost curve as shown in Fig.
6

Fig. 8 characteristics of battery
The battery size is of 6V, 225 AH, 1.35kWH.
The cost curve is as shown in Fig.7

Fig. 5 cost curve for ideal PV cell

VI.
Modelling And Results
System architecture
PV Array 0.1 kW
Battery 2 Trojan T-105
Cost summary of sources

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1323 | P a g e
Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325
Total net present cost $ 1,239
Cost of energy

$ 1.479/kWh

Operating cost

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The result shows the optimal system. The following
graph shows that PV/battery systems are optimal for
most of that sensitivity space.

$ 15.6/yr

$=Rs 60/-Appx

Fig 12. Cash flow summery for PV and Battery
The battery selected has following characteristics

Fig 9
Electrical characteristics
Production Fraction
Component
(kWh/yr)
PV array

158

100%

Total
158
100%
The Load size of 0.2 KWh/d and peak load of 48W is
considered as a model.
Load Profile
Load

The excess generation is
Quantity

Value Units

Excess electricity
(kWh/yr)

DC primary load 73

100%

Total

74.9

kWh/yr

Unmet load

0.00

kWh/yr

Capacity shortage

Consumption Fraction

0.00

kWh/yr

100%

73

Renewable fraction 1.000

Fig 13 Monthly average Electricity generation with
PV.

Fig 10 Load profile

Fig 14. Comparison of cash flow (PV /Battery)
Fig 11 Monthly load variation considered.

The system is environment friendly. The
emission is given the table.

Load size varies from 0.2kWh/d to 1 kWh/d.

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1324 | P a g e
Sheetal Shinkhede et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325
Pollutant

Emissions (kg/yr)

Carbon dioxide

0

Carbon monoxide

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Hybrid Wind-diesel System” Renewable
Energy Laboratory, MA, USA.
NASA,available at http://eosweb.larc.nasa.gov

0

[10]

Unburned hydocarbons 0
Particulate matter

0

Sulfur dioxide

0

Nitrogen oxides

0

VII.

Conclusion

The results are simulated using HOMER
software. Modelling shows that the cost summary,
cash flow summary, electrical production or emissions
and cost of PV and Battery hybrid system is feasible.
Total Net Present Cost is $1239. From the optimal
system type it is clear that except rainy season PV cell
is optimum, during day time. The charges during day
time during Sun set hours battery configuration is
feasible.
This Model can be modified with Wind
sources and DG set with natural gas as a fuel. At
higher wind speeds, PV/Wind/Battery configuration
will show optimum results. If the wind speed is high,
use of PV and Battery may reduces.

References
[1]

[2]
[3]

[4]

[5]

[6]

[7]

[8]

[9]

S. Chowdhury, S.P. Chowdhury and P.
Crossley.
Micro-grids
and
Active
Distribution Networks
IEA, Distributed Generation in Legalised
Electricity Markets, Paris, 2002.
Italo Atzeni, Luis G. Ordóñez, Gesualdo
Scutari, and Javier Rodríguez Fonollosa.
“Demand-Side Management via Distributed
Energy
Generation
and
Storage
Optimization” IEEE Transactions On smart
Grid, Vol.4, No. 2, June 2013
R.A. Jabr, B.C. Pal, “Ordinal optimisation
approach for locating and sizing of
distributed generation” Published in IET
Generation, Transmission & Distribution
Received on 14th January 2009.
J. A. Momoh, Electric Power Distribution,
Automation, Protection, and Control,
London: CRC Press, 2008.
“Distributed
generation:
options
and
approaches” Sustainable energy regulation
and policymaking for africa
Arup Sinha':', R N Lahiri, Sanjay Neogi, 1, S.
Chowdhury':’, S.P.Chowdhury , C.T.Gaunt,”
Analysis of Market Price for Distributed
Generators (DGs) in Microgrid”.
M. H. Albadi, Student Member, IEEE, and E.
F El-Saadany, Senior Member, IEEE “The
Role
of Distributed
Generation
in
Restructured Power Systems
J. F. Manwel, J. G. McGowan, U. Abdul
wahid, “Simplified Performance model for

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1325 | P a g e

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Ho3513201325

  • 1. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 RESEARCH ARTICLE www.ijera.com OPEN ACCESS Massive Energy Production from Renewable Sources Sheetal Shinkhede1, Dr. C.D.Kotwal2 The M.S.University of Baroda, Vadodara1 SVIT, VASAD2 Abstract Renewable and non-conventional distributed energy resources (DERs), such as, wind, solar PV, micro-turbines, fuel cells, diesel generators etc. are gradually becoming more popular as energy efficient and low-emission energy sources. Demand-side management, along with the integration of distributed energy generation and storage, are considered increasingly essential elements for implementing the Micro-grid concept and balancing massive energy production from renewable sources. This paper reviews on a micro- grid concept in which the demand-side comprises traditional users as well as users owning some kind of distributed energy sources and/or energy storage devices. This paper gives simulation results of PV-Wind-and battery, Hybrid system for emergency load using HOMER software. I. Introduction There has been increasing interest in the use of applications of renewable energy that can reduce the impact of CO2 emissions. However, generically, the level of electric power from renewable energy, e.g., wind generation (WG), tends to fluctuate with meteorological changes, and also photovoltaic (PV) cells generate power only in daylight hours. On the other hand, the volume of the load demanded tends to vary with how the loads are used. Therefore, when we use power from renewable energy, we depend on utility power to balance generation and demand. However, there are limits which utility power can accept. Economic, technology and environmental incentives are changing the face of electricity generation and transmission. Centralized generating facilities are giving way to smaller, more distributed generation partially due to the loss of traditional economies of scale. Distributed generation encompasses a wide range of prime mover technologies, such as internal combustion (IC) engines, gas turbines, Micro-turbine, photovoltaic, fuel cells and wind-power. These emerging technologies have lower emissions, and have the potential to have lower cost, thus negating traditional economies of scale [1]. The applications include power support at substations, deferral of T&D upgrades, and onsite generation. A better way to realize the emerging potential of distributed generation is to take a system approach which views generation and associated loads as a subsystem or a “micro-grid”. During disturbances, the generation and corresponding loads can separate from the distribution system to isolate the micro-grid’s load from the disturbance (and thereby maintaining high level of service) without harming the transmission grid’s integrity. Intentional islanding of generation and loads has the potential to provide a higher local reliability than that provided by the power system as a whole. The size of emerging www.ijera.com generation technologies permits generators to be placed optimally in relation to heat loads allow for use of waste heat [2]. Such applications can more than double the overall efficiencies of the systems. One of the main differences between conventional vertically integrated systems and restructured systems is the presence of DG units in the latter. Fig. 1 presents a schematic for the two different systems. Fig. 1 conventional vertically integrated systems and restructured system Micro-grid consists of a group of radial feeders, which could be part of a distribution system or a building’s electrical system. There is a single point of connection to the utility called point of common coupling. Some feeders, (Feeders A-C) have sensitive loads, which require local generation. II. Micro grid system schematic and component Micro-grid has two critical components, the static switch and the micro-source. The static switch has the ability to autonomously island the micro-grid from disturbances such as faults, IEEE 1547 events or power quality events. After islanding, the reconnection of the micro-grid is achieved autonomously after the tripping event is no longer present. This synchronization is achieved by using the frequency 1320 | P a g e
  • 2. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 difference between the islanded micro-grid and the utility grid insuring a transient free operation without having to match frequency and phase angles at the connection point [3]. Each micro-source can seamlessly balance the power on the islanded Microgrid using a power vs. frequency droop controller. This frequency droop also insures that the Micro-grid frequency is different from the grid to facilitate reconnection to the utility. In the paper a small grid is form to meet the emergency of 200W/d and 46W peak load. A .Unit Power Control Configuration In this configuration each DG regulate the voltage magnitude at the connection point and the power that the source is injecting, P. as shown in Fig. 2 With this configuration, if a load increases anywhere in the micro-grid, the extra power come from the grid, since every unit regulates to constant output power. This configuration fits CHP applications because production of power depends on the heat demand. Electricity production makes sense only at high efficiencies, which can only be obtained only at high efficiencies, which can only be obtained only when the waste heat is utilized. B. Feeder Flow Control Configuration In this configuration, each DG regulate the voltage magnitude at the connection point and the power that is flowing in the feeder at the points A, B, C and D in Figure 2. With this configuration extra load demands are picked up by the DG showing a constant load to the utility grid. In this case, the micro-grid becomes a true dispatch able load as seen from the utility side, allowing for demand-side management arrangements. When the system islands the local feeder flow vs. frequency droop function insures the power balance with the loads. C. Mixed Control Configuration In this configuration, some of the DGs regulate their output power, P, while some others regulate the feeder power flow, F. The same unit could control either power or flow depending on the needs. This configuration could potentially offer the best of both worlds: some units operating at peak efficiency recuperating waste heat, some other units ensuring that www.ijera.com www.ijera.com the power flow from the grid stays constant under changing load conditions within the micro-grid. In this configuration, some of the DGs regulate their output power, P, while some others regulate the feeder power flow, F. The same unit could control either power or flow depending on the needs. This configuration could potentially offer the best of both worlds: some units operating at peak efficiency recuperating waste heat, some other units ensuring that the power flow from the grid stays constant under changing load conditions within the micro-grid. III. Distributed Generation Distributed generation, is the process of generating electricity from many small energy sources and connecting it directly to the distribution network or on the customer’s side of the meter. It can also be called as onsite generation, dispersed generation, decentralized generation, decentralized energy or distributed energy. From the definition, the DG includes those generating units that cannot supply reactive power and are located close to the customer or the end user. However, there is no specific defined capacity for the DGU. Distributed Generation (DG) is a small generator spotted throughout a power system network, providing the electricity locally to load customers [10]. DG can be an alternative for industrial, commercial and residential applications. DG makes use of the latest modern technology which is efficient, reliable, and simple enough so that it can compete with traditional large generators in some areas [4]. Placement of DGs is an interesting research area due to economical reason. Distributed generation systems (such as fuel cells, combustion engines, micro-turbine, etc) can reduce the system loss and defer investment on transmission and distribution expansion. Appropriate size and optimal locations are the keys to achieve it [13]. In the proposed system PV cell of 1 KW and battery having rating of 6V, 225 AH, 1.35kWH is considered to meet the demand of the load. There are many differences between DG and the conventional central power stations. These differences include, Location: DG units are located near loads and connected to distribution networks, unlike the central plants, which are far away and, therefore, connected to load centres via transmission networks; Generation capacity: The generation capacity of DG units is much smaller than that of the massive central plants;Technology used: New cleaner technologies, including renewable energy sources, are used as DG units;Ownership: DG units can be owned by utilities, customers or a third party. A. Benefits Of Distributed Generation Consumer advocates who favour DG point out that distributed resources can improve the efficiency of providing electric power. They often highlight that transmission of electricity from a power plant to a typical user wastes roughly 4.2 to 8.9 1321 | P a g e
  • 3. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 percent of the electricity as a consequence of aging transmission equipment, inconsistent enforcement of reliability guidelines, growing congestion. At the same time, customers often suffer from poor power quality variations in voltage or electrical flow that results from a variety of factors poor switching, operations in the network, voltage dips, interruptions, transients and network disturbances from loads B. Technologies DG can be divided into two main groups: renewable DG and fuelled DG. Most fuelled DG technologies use fossil fuels as their primary energy resource to generate electricity, or as a means to produce alternative fuels. Fuel-based technologies include conventional steam and combustion turbines, internal combustion (IC) engine generators, microturbine (MT), and fuel cells (FC).[5] Renewable energy resources are becoming more important due to fossil fuel resource depletion, price associated risks, and environmental concerns. On the other hand, renewable energy resources are sustainable and environmentally friendly. Renewable resource-based technologies include photovoltaic cells (PV), wind turbines (WT), and small-scale hydro-generation. www.ijera.com B. Energy Security The large penetration of DG in the system can affect energy security. This effect can appear in two forms: primary fuel diversification and power system reliability. Although renewable technologies (e.g., PV and WT) help diversifying the primary fuel of electrical energy, most other DG technologies uses natural gas, directly or indirectly, as a primary source of energy. Therefore, the overall effect on fuel diversity in the power system is expected to be limited [6]. The increased demand and dependency on one major primary fuel, natural gas, reduces energy security. An exception to this effect is the CHP, where higher fuel efficiency, lower fuel consumption; hence, enhanced energy security could be achieved. DG could enhance power system reliability by integrating the available standby DG resources. It has been reported that the availability of standby generation helped in reducing blackout risks during California’s 2001 electricity crises [7]. Moreover, DG can enhance system reliability by relieving distribution network congestion and reducing the demand flowing over transmission lines by using locally generated power. In addition, since DG units are much smaller than central power plants, lower capacity margin is needed to operate the system with the same reliability compared to a system with conventional large plants. The main reliability concern for DG in this context is the fact that most DG units are non-dispatchable due to natural or operational unpredictability. In such cases, DG might not be able to respond to demand variations and this in turn reduces the system ability of providing reserve power when needed V. Renewable Energy Sources Wind Resource Wind mills are used for various reasons is a practice for several years. Now many nations recognize the shortage of fossil fuels and importance of wind energy. The wind energy has re-emerged as an important source of sustainable energy resource worldwide. The energy available in the wind depends on the density and velocity. The density changes with the temperature and pressure. The need to integrate the renewable energy like wind into power system is to make it possible to minimize the environmental impact on conventional plant. As the ratio of installed wind capacity to the system load increases, the required equipment needed to maintain a stable AC grid increases, forcing amount of wind power in a given system. [9]. A. IV. A. Energy Sources Environmental Concerns 1.DG technologies have a wide range of emission levels, from emission free (PV & wind) to moderate (diesel). For fossil fuel DG technologies, the authors in [6] identified two areas of concern: nitrogen oxide effects on local air quality and the global greenhouse gas emission effects on climate change. 2. Although most DG technologies have lower nitrogen oxides (NOx) emissions compared to coalfired power stations, they have higher emissions than combined-cycle gas turbines with emission controls. This situation imposes a serious limitation on DG in areas where NOx emissions are of concern. Similarly, except for CHP operation, DG greenhouse gas emission rates are generally lower than those of coal fired plants but higher than those of combined-cycle gas turbines with emission controls, for most of fossil fuel technologies. The authors recommend using economic measures to encourage DG owners to reduce emissions. As an example, carbon emission trading would give DG owners an incentive to minimize emissions [6]. www.ijera.com B. Diesel Engines Diesel generators and combustion engines are mainly used for off-grid generation. Low installed capacity, high shaft efficiency, suitable for start-stop operation, and high exhaust heat are some of the advantages of combustion engines. These engines convert heat from the combustion into work via rotation of shaft. The shaft is directly coupled to the 1322 | P a g e
  • 4. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 www.ijera.com generator and electricity is produced. They run at a speed defined by the frequency of supply grid [9]. C. Photo Voltaic (Pv) Photovoltaic systems convert energy from the sun directly into electricity. They are composed of photovoltaic cells, usually a thin wafer or strip of semiconductor material that generates a small current when sunlight strikes them. Multiple cells can be assembled into modules that can be wired in an array of any size. Small photovoltaic arrays are found in wrist watches and calculators; the largest arrays have capacities in excess of 5 MW. Photovoltaic systems are cost-effective in small off-grid applications, providing power, for example, to rural homes in developing countries, off-grid cottages and motor homes in industrialized countries, and remote telecommunications, monitoring and control systems worldwide. The PV plant is connected to grid via DC/AC inverters of different technology. PV have explosive growth rate, which is still less than one tenth of wind. The solar resource data for Gujarat is obtained from NASA surface meteorology and solar website [10]. The approximate location of the site used is 23.3000 latitude and 73.230090 longitudes from the data daily solar radiation with respect to horizontal is obtained. Fig. 6 cost curve for PV cell D. Battery Source: There’s a promising new entry in the race to build cheap batteries for storing energy from solar panels and wind turbines. The technology is a cross between a flow battery and an experimental type called a lithium-sulphur battery. In a flow battery, positive and negative liquid electrolytes are stored in swimming-pool-size tanks. The batteries are attractive because the amount of energy they store can be increased simply by expanding these tanks, without increasing the size of the electronic connections and other battery parts needed to extract the energy. But they require expensive ion membranes and large amounts of material . Fig. 7 cost curve for battery Ideally Cost curve of PV cell ( where replace cost zero)is as shown Fig 5. The proposed model uses 0.1KW of PV cell having cost curve as shown in Fig. 6 Fig. 8 characteristics of battery The battery size is of 6V, 225 AH, 1.35kWH. The cost curve is as shown in Fig.7 Fig. 5 cost curve for ideal PV cell VI. Modelling And Results System architecture PV Array 0.1 kW Battery 2 Trojan T-105 Cost summary of sources www.ijera.com 1323 | P a g e
  • 5. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 Total net present cost $ 1,239 Cost of energy $ 1.479/kWh Operating cost www.ijera.com The result shows the optimal system. The following graph shows that PV/battery systems are optimal for most of that sensitivity space. $ 15.6/yr $=Rs 60/-Appx Fig 12. Cash flow summery for PV and Battery The battery selected has following characteristics Fig 9 Electrical characteristics Production Fraction Component (kWh/yr) PV array 158 100% Total 158 100% The Load size of 0.2 KWh/d and peak load of 48W is considered as a model. Load Profile Load The excess generation is Quantity Value Units Excess electricity (kWh/yr) DC primary load 73 100% Total 74.9 kWh/yr Unmet load 0.00 kWh/yr Capacity shortage Consumption Fraction 0.00 kWh/yr 100% 73 Renewable fraction 1.000 Fig 13 Monthly average Electricity generation with PV. Fig 10 Load profile Fig 14. Comparison of cash flow (PV /Battery) Fig 11 Monthly load variation considered. The system is environment friendly. The emission is given the table. Load size varies from 0.2kWh/d to 1 kWh/d. www.ijera.com 1324 | P a g e
  • 6. Sheetal Shinkhede et al Int. Journal of Engineering Research and Application ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1320-1325 Pollutant Emissions (kg/yr) Carbon dioxide 0 Carbon monoxide www.ijera.com Hybrid Wind-diesel System” Renewable Energy Laboratory, MA, USA. NASA,available at http://eosweb.larc.nasa.gov 0 [10] Unburned hydocarbons 0 Particulate matter 0 Sulfur dioxide 0 Nitrogen oxides 0 VII. Conclusion The results are simulated using HOMER software. Modelling shows that the cost summary, cash flow summary, electrical production or emissions and cost of PV and Battery hybrid system is feasible. Total Net Present Cost is $1239. From the optimal system type it is clear that except rainy season PV cell is optimum, during day time. The charges during day time during Sun set hours battery configuration is feasible. This Model can be modified with Wind sources and DG set with natural gas as a fuel. At higher wind speeds, PV/Wind/Battery configuration will show optimum results. If the wind speed is high, use of PV and Battery may reduces. References [1] [2] [3] [4] [5] [6] [7] [8] [9] S. Chowdhury, S.P. Chowdhury and P. Crossley. Micro-grids and Active Distribution Networks IEA, Distributed Generation in Legalised Electricity Markets, Paris, 2002. Italo Atzeni, Luis G. Ordóñez, Gesualdo Scutari, and Javier Rodríguez Fonollosa. “Demand-Side Management via Distributed Energy Generation and Storage Optimization” IEEE Transactions On smart Grid, Vol.4, No. 2, June 2013 R.A. Jabr, B.C. Pal, “Ordinal optimisation approach for locating and sizing of distributed generation” Published in IET Generation, Transmission & Distribution Received on 14th January 2009. J. A. Momoh, Electric Power Distribution, Automation, Protection, and Control, London: CRC Press, 2008. “Distributed generation: options and approaches” Sustainable energy regulation and policymaking for africa Arup Sinha':', R N Lahiri, Sanjay Neogi, 1, S. Chowdhury':’, S.P.Chowdhury , C.T.Gaunt,” Analysis of Market Price for Distributed Generators (DGs) in Microgrid”. M. H. Albadi, Student Member, IEEE, and E. F El-Saadany, Senior Member, IEEE “The Role of Distributed Generation in Restructured Power Systems J. F. Manwel, J. G. McGowan, U. Abdul wahid, “Simplified Performance model for www.ijera.com 1325 | P a g e