SlideShare a Scribd company logo
1 of 10
Download to read offline
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 45
A Load Flow based Approach for Optimum Allocation of
Distributed Generation Units in the 43-bus Distribution Network
of Belin Substation in Myanmar
Su Hlaing Win1
1(Electrical Power Department, Mandalay Technological University, and Mandalay)
I. INTRODUCTION
Distribution systems have been operated in a
vertical and centralized manner for many years for
best control and coordination of their protective
devices. Distribution systems are characterized by
high R/X branch ratios with radial or weakly-
meshed topological structure.
In fact, the radial topological structure makes
distribution systems the most extensive part in the
entire power system. The poor voltage regulation
and the high line resistance both play a significant
role in increasing total power losses of distribution
systems.
Minimization of power losses of distribution
systems is constantly achieved by feeder
reconfiguration techniques. At present, the
environmental issues has been the major reasons
DG been so popular. Customers want the energy
that cleaner and has less impact to the environment.
They tend to choose DG as alternative power
generating because the DG not only use the fuel
fossil but also can be generates electricity with
renewable sources.
Nowadays, the need for more quality of electric
supply has become priority for consumer. They are
aware of the value of reliable electric supply. There
are several reliability problems that disturbing
distribution networks. Apart from the large voltage
drops to near zero, consumer can also suffered from
smaller voltage deviations. For example in radial
networks, bus voltages happens to decrease as the
distances from the distribution transformer
increases and may become lower than the minimum
voltage permitted by the utility. By adding DG, the
branches current were reduces which causing the
reduction of losses and increasing of voltage
through feeder.
II. PROPOSED METHODOLOGY
In this paper 43-bus distribution system is
used to locate the DG in an optimal place with the
proper sizing. The proposed technique succeeds in
solving single DG installation for distribution
system.The proposed approach needs power flow to
RESEARCH ARTICLE OPEN ACCESS
Abstract:
In this paper a load flow based method using MATLAB Software is used to determine the optimum location
and optimum size of DG in a 43-bus distribution system for voltage profile improvement and loss reduction. This
paper proposes analytical expressions for finding optimal size of three types of distributed generation (DG) units.
DG units are sized to achieve the highest loss reduction in distribution networks. Single DG installation case was
studied and compared to a case without DG, and 43-bus distribution system is used to demonstrate the
effectiveness of the proposed method. The proposed analytical expressions are based on an improvement to the
method that was limited to DG type, which is capable of injecting real power only, DG capable of injecting
reactive power only and DG capable of injecting both real and reactive power can also be identified with their
optimal size and location using the proposed method. This paper has been analysed with varying DG size and
complexity and validated using analytical method for Summer case and Winter case in 43-bus distribution system
in Myanmar.
Keywords- analytical method,distributed generation,power loss reduction,voltage profile improvement.
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 46
be run for two times, one for the initial base case
and another at the final stage with the DG to obtain
the optimal solution.
A. Sizing at Various Location
Distributed Generation sizing and location at
optimal places in radial distribution feeder gathers a
great importance in power system area. The
installation of DG at non-optimal places leads to
higher losses and reduced voltage profile. For that
reason, the development of new method called
analytical approach is capable of indicating the DG
unit allocation and sizing at optimal places which
improves the power system operation
characteristics. The proposed methodology aims to
optimize the better location and sizing of DG unit to
reduce the power losses and improves the voltage
profile.
Real Power loss in the system can be calculated
by Equation (1) given the system operating
condition,
( ) ( )[ ]∑
=
∑
=
−++=
N
i
N
j jQiPjPiQijβjQiQjPiPijαLP
1 1
(1)
Where,
( )jδiδ
jViV
ijr
ijα −= cos (2)
( )jδiδ
jViV
ijr
ijβ −= sin (3)
The minimize reactive power loss will have
significant impact on voltage stability of the power
system. The reactive power loss formula is given by
Equation (4),
( ) ( )∑
=
∑
= 


 −++=
N
j
N
k k
QjP
k
PjQ
jk
ζ
k
QjQ
k
PjP
jk
γLQ
1 1
(4)
Where,
( )k
δjδ
k
VjV
jk
X
jk
γ −= cos (5)
( )k
δjδ
k
VjV
jk
X
jk
ζ −= sin (6)
Where,
n is the number of lines are function of loss
coefficient between bus i and j.
P i is real power flow at bus i in MW.
Q i is reactive power flow at bus i in MVAR.
P j is real power flow at bus j in MW.
Q j is reactive power flow at bus j in MVAR.
P Di and Q Di are the loads.
R ij is Resistance of the line connecting bus i and j
in Ohms.
X ij is Reactance of the line connecting bus i and j
in Ohms.
V i and V j are bus voltage magnitude at bus i and j
in PU.
δ i and δj are bus voltage angles at bus i and j.
B. Types of DG
DG can be classified into four major types based
on their terminal characteristics in terms of real and
reactive power delivering capability as follows:
1. DG capable of injecting active power only.
2. DG capable of injecting reactive power
only.
3. DG capable of injecting both active an
reactive power.
4. DG capable of injecting active power but
consuming reactive power.
Photo voltaic, micro turbines, fuel cells which
are integrated to main grid with the help of
converters/inverters are good examples of type1.
For Type-1 DG, the optimal size of DG at each
bus i for minimizing losses is given by Equation (7),
( )







∑
≠=
−++=
N
i,jj jQijβjPijαiQiiβ
iiαDiPDGiP
1
1
(7)
Pi=PDGi- PDi (8)
The loss coefficients ∝ and are obtained from
the base case load flow, and while strictly speaking,
they should be updated at every load flow step, the
changes in the loss coefficients are small and have a
negligible effect on the optimal DG size result.
Real power loss reduction by DG,
%
LossP
DG
LossPLossP
PLR 100×
−
= (9)
LossP is the real power loss of the system before
introducing DG.
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 47
DG
LossP is the real power loss of the system after
adding DG.
Synchronous motors such as gas turbines are
examples for type2.
For type-2 DG, the optimal size of DG at each
bus i for minimizing losses is given by Equation
(10),
( )







∑
≠=
+−+=
N
i,jj
jPijβjQijαiPiiβ
iiαDiQDGiQ
1
1
(10)
DiQDGiQiQ −= (11)
Reactive power loss reduction by DG,
%
LossQ
DG
LossQLossQ
QLR 100×
−
= (12)
LossQ is the reactive power loss of the system
before introducing DG .
DG
LossQ is the reactive power loss of the system
after adding DG.
DG units that are based on synchronous machine
fall in type 3.
22
DGi
Q
DGi
P
DGi
S += (13)
When power factor of DG is set to be equal to
that of combined total loads, computational
procedure to find optimal size and location of one
of four types of DGs is described in the following.
(1) Start the Process.
(2) Run the Base Case without DG using
Newton -Raphson load flow using
MATLAB software and calculate the bus
voltage magnitude, Angle, Real and
Reactive Power Loss Respectively.
(3) After Load flow Identify the optimum sizing
for each bus using Equation 7 and 10.
(4) By using Equation 7 and 10 find out the
approximate losses for each bus by placing
DG at the corresponding location with the
optimum sizing obtain from the above step.
Calculate the approximate loss for each case
using Equation 1 and Equation 4with the
values α and β of base case.
(5) Check for Constraint Violation after DG
placement.
(6) Locate the bus at which the loss is minimum
after DG placement and this is the optimum
location for DG.
(7) Stop the Process.
III. DATA ALALYSIS OF DISTRIBUTION
NETWORKOF BELIN
At Belin, Yeywa and Shwesaryan are incoming
loads which are the total power demand of Belin.
And then, Belin substation gives back power to the
load sides as outgoing feeders such as MOGE,
Kyaukse, Dattaw, Ministry of industry, Sin Min 3
and Sin Min 1 and Sin Min 2. It has two generation
sources. Hydro is the main source.
This paper was applied on an existing
distribution feeder. The 43-bus distribution system
is extracted from 230/33/11kV Belin Substation in
Kyaukse area of Myanmar.The capacity of the
system is 1270 MW and 698 Mvar. The one line
diagram of the 43-bus distribution system under
study is shown in Fig. 1.
A computer program has been written in
MATLAB to calculate the optimal sizes of DG at
various bus and approximate total losses with DG at
different locations identify the best location. A
Newton-Raphson algorithm based load flow
program is used to solve the load flow problem.
The proposed optimal DG size and placement in the
distribution systems was coded in MATLAB
Version 7.10.0.499 (R2010a).
IV. SIMULATION RESULTS
The proposed methodology was applied on 43-
bus distribution system in Belin Substation in
Myanmar with different sizes are simulated in
MATLAB environment to calculate the optimum
DG sizes for various buses and approximate total
power losses with DG at various location. To find
the proper DG allocation in 43-bus distribution
system for voltage profile improvement is the main
aim of this procedure. This thesis is proposed an
analytical expression to calculate DG optimal size
and placement for minimizing the total power
losses in primary distribution system.
This paper was divided into two main parts. Two
different cases for 43-bus distribution system were
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 48
used to analyse the proposed analytical method in
finding the optimal DG size and place. The first
case is a 43-bus distribution system for summer and
the second case is a 43-bus distribution system for
winter. The loads for two cases are constant and the
generation sources are variable for two cases in this
paper.
Fig. 1.. One Line Diagram of the 43-bus Distribution System in Myanmar
A. Case 1: Base Case Study for Summer
In the first simulation, no DG is connected to the
system voltage magnitudes at all buses for summer
is recorded. The voltage magnitude of all buses is
plotted in Fig. 2.
Fig. 2. Voltage Magnitude at Various Buses for Base Case Study for Summer
B. Optimum Size Allocation of Type-1 DG for Summer
21
15
41
28
1
5
4
3
2
9
8
7
6
36
22
23
24
25
27
26
29
30
31
32
34
33
37
39
38
10
35
40
11
12
14
13
43
42
18
17
16
20
19
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 49
Based on the proposed analytical expression
optimum sizes of DG’s are determined using
Equation 7 at various nodes for Belin distribution
system in Myanmar.
Fig.3. Optimum Real Power Size of Type-1 DG for Summer
In Belin distribution system the optimum sizes
of DG ranging from 1.1555 MW to 23.6106 MW
for summer. As far as one location is concerned, in
a distribution system, corresponding Fig.3.would
give the value of DG size to have a ‘‘possible
minimum’’ total loss.
C. Optimum Size Allocation of Type-2 DG for Summer
In this distribution system, the optimum reactive
power sizes of summer ranging from 2.8809 Mvar
to 16.842 Mvar as shown in Fig.4.
Fig.4.Optimum Reactive Power Size of Type-2 DG for Summer
D. Optimum Size Allocation of Type-3 DG for Summer
The optimum size of type 3 DG at various nodes
for 43- bus distribution system is shown in Fig .5.
Fig 5.Optimum Size of Type-3 DG at 43-bus Distribution System for Summer
The decrease in total power loss depends on the
location and size of DG. The range of optimum
sizes of Type-3 DG for summer is from 22.42MW
to 295.5 MW.
E. Selection of Optimal Location of DG Type-1 for Summer
The optimal location can be found for the
placement of optimal size of DG as shown in
Fig.6.as obtained from Equation 6 which will give
the lowest possible total loss due to placement of
DG at the respective bus is as shown in Fig.6.
Fig.6. Total Real Power Losses with DG for Summer
F. Selection of Optimal Location of DG Type-2 for
Summer
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 50
This step is to find the optimum DG
location, which will give the lowest possible total
losses.
Fig.7.Total Reactive Power Losses with DG for Summer
Fig.7. shows the total reactive power losses for
43-bus distribution system with optimum DG size
obtained at various nodes and average reactive
power loss is reduced to the range of 0.4763 Mvar
to 0.0491 Mvar.
G. Selection of Optimal Location of DG Type-3 for
Summer
Fig.8. shows the approximate total power losses
for 43-bus distribution systems with optimum DG
sizes obtained at various nodes of respective system.
The figures also show the accurate loss.
Fig.8.Total Real Power Losses of Type-3 with DG for Summer
The allocating optimal location is find for
the placement of accurate size of DG at the
respective bus as shown in Fig.9 and which will
produce the lowest loss due to the placement of DG
at the respective bus is shown Fig.9.
Fig.9. Total Reactive Power Losses of Type-3 with DG for Summer at 43-bus
Distribution System
H. Optimum Bus Voltage profile for Summer Case
The voltage at various buses should be
maintained within the acceptable limits to meet out
the power system demand. But the bus voltage may
reach the permissible limit when DG is not
connected to the distribution system or the bus
voltage may lack due to some disturbances. For this
reason Distributed Generation should be placed and
sized at the relevant bus location in radial
distribution system. The improvement of voltage
profile of the DG for summer installed is shown in
Fig.10.
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 51
Fig.10. Bus Voltage Profile with and without DG of 43 bus system for
Summer
I. Case 2: Base Case Study for Winter
In the second simulation, no DG is connected to
the system and power loss and voltage magnitudes
at all buses for summer are recorded. The voltage
magnitude of all buses is plotted in Fig.11.
Fig.11. Voltage magnitude at various buses for base case study for Winter
J. Sizing at Various Location of DG Type-1 for Winter
Based on the proposed analytical expression,
optimum sizes of DGs are calculated at various
nodes for the 43 bus distribution system. Fig.12.
show optimum sizes of DG at various nodes for 43
bus distribution test system.
Fig.12 .Optimum Real Power Size of Type-1 DG for Winter at 43-bus
Distribution System
K. Sizing at Various Location of DG Type-2 for Winter
Based on the analytical expressions, optimum
sizes of DG are calculated using Equation 15 at
various nodes for the system. Fig.13. shows
optimum sizes of DG at various buses for 43- bus
distribution system.
Fig.13. Optimum Reactive Power Size of Type-2 DG for Winter
L. Sizing at Various Location of DG Type-3 for Winter
Analytical expression, the optimum size of
Type-3 DG is calculated at each bus for 43-bus
distribution system and bus having least total
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 52
power loss will be the optimal location for the
placement of DG; the best location is bus 30 with a
total real power loss of 0.000003015 kW as shown
in Fig.14.
Fig.14. Optimum Reactive Power Size of Type-3 DG for Winter at 43-bus
Distribution System
M. Location to Minimize Losses of DG Type-1 for Winter
Based on this result of DG sizing the
optimal location of DG is determined where the
total real power loss is minimum at the respective
buses as shown in Fig.15.
Fig . 15. Total Real Power Losses of Type-1 with DG for Winter at 43-bus
Distribution System
N. Location to Minimize Losses of DG Type-2 for Winter
Fig.16. shows the approximate total reactive
power losses for 43-bus distribution system with the
optimum DG size obtained at various nodes of 43-
bus system. This Figure also shows the accurate
loss.
Fig.16. Total Reactive Power Losses of Type-2 with DG for Winter
O. Location to Minimize Losses of DG Type-3 for Winter
Fig.17 demonstrates the total real power
losses as a result of Type-3 DG at each bus. Bus 30,
the selected location of the DG has a total power
loss of 0.000003015 MW as shown in Fig.17,
compared with other buses.
Fig.17.Total Real Power Losses of Type-3 with DG for Winter
The optimal location of Type-3 DG for winter is
bus 30. The reduction in reactive power loss for this
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 53
case is reduced to 0.00001018 Mvar. As can be
seen from results of Fig.18, the location and size of
DG play an important role in loss reduction of
primary distribution system.
Fig.18.Total Reactive Power Losses of Type-3 with DG for Winter
P. Variation of bus voltage with DG for Winter Case
Fig.19. shows the voltage level comparison for
the 43-bus distribution system with and without
installation of DG system. In order to have a clear
comparison, bus voltages in the base case and also
after installation of DG units are illustrated in
Fig.19.
Fig.19. Bus Voltage Profile with and without DG of 43-bus system for Winter
The outcomes represent that installation of DG
units considerably improves the voltage profile.
Note that installation of DG units give better
average voltage levels (1.06 per unit) compared
with the original system. In the system without DG
units, the lowest voltage level is 0.903 per unit.
IV. CONCLUSIONS
In this paper a new emerging method called
analytical approach is used to identify the optimal
placement and optimum sizing of Distributed
Generation in 43-buses distribution feeder for Belin
Substation in Myanmar. The installation of DG
units in power distribution networks is becoming
more prominent. These benefits include reducing
power losses, improving voltage profiles, reducing
emission impacts and improving power quality.
Different types of DG installed in this
system have different impacts on real and reactive
power loss reduction. Optimal size and location of
DG are also changed with different types of DG
installed in the system. Analytical method is used to
determine optimal size and the location for both
type-1, type-2 and type-3.The three types of DG
effectively reduced the real power loss, reactive
power loss and voltage profile are also improved.
DG type 3 has the most effective way of
reducing real and reactive power loss, following by
DG type 1 and DG type 2 respectively. It is also
interesting to note that DG type 3 has the highest
loss reduction since it can generate both real and
reactive power and DG type 2 has the lowest loss
reduction since it consumes reactive power in the
system.
It has been shown that voltage profile is
significantly improved by placing DG in
distribution system and the losses have been
reduced by 96.15 % for summer case and 99.78%
for winter case. The results demonstrated and
emphasized that DG installation decreased total real
and reactive power losses more than without DG
installations.
ACKNOWLEDGMENT
The author would like to express her deepest
great thank to her parents, U Kyaw Win and Daw
Kyi Htay for noble support to her all times and their
unique loving kindness to attain her destination
International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015
ISSN: 2395-1303 http://www.ijetjournal.org Page 54
without any trouble. Moreover, the author would
like to thank her grandparents and two younger
sisters.
REFERENCES
1. W.El-Khattam, M.M.A.Salama, “Distributed
Generation Technologies, definitions and benefits”,
Electric Power Systems Research, Vol.No.71,
pp.119-128, 2004.
2. Dugan R.C., Price S.K.‘Issues for distributed
generations in the US’. Proc. IEEE PES, Winter
Meeting, January 2002, vol. 1, pp. 121–12
3. Griffin T, Tomosovic K, Secrest D, Law A. Placement
of dispersed generation systems for reduced losses.
In: Proceedings of the 33rd
Hawaii international
conference on sciences, Hawaii, 2000.
4. Borges CLT, Falcao DM. Impact of distributed
generation allocation and sizing on reliability, losses
and voltage profile. In: Proceedings of IEEE
Bolonga power technology conference, 2003.
5. Rizy, F. Li, H. Li, S. Adhikari, and J. Kueck,
“Properly understanding the impacts of distributed
resources on distribution systems,” in Power and
Energy Society General Meeting, IEEE, 2010.
6. Anshu Bharadwaj and Rahul Tongia, Member, IEEE
“Distributed Power Generation: Rural India-A Case
Study
7. H. L. Willis, Distributed Power Generation:
Planning and Evaluation, CRC Press, 2000.

More Related Content

What's hot

Optimal distributed generation in green building assessment towards line loss...
Optimal distributed generation in green building assessment towards line loss...Optimal distributed generation in green building assessment towards line loss...
Optimal distributed generation in green building assessment towards line loss...journalBEEI
 
Improvement of voltage profile for large scale power system using soft comput...
Improvement of voltage profile for large scale power system using soft comput...Improvement of voltage profile for large scale power system using soft comput...
Improvement of voltage profile for large scale power system using soft comput...TELKOMNIKA JOURNAL
 
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...IJECEIAES
 
Power Loss Allocation in Deregulated Electricity Markets
Power Loss Allocation in Deregulated Electricity MarketsPower Loss Allocation in Deregulated Electricity Markets
Power Loss Allocation in Deregulated Electricity MarketsIJERD Editor
 
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSIMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSSuganthi Thangaraj
 
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...ijeei-iaes
 
The optimal solution for unit commitment problem using binary hybrid grey wol...
The optimal solution for unit commitment problem using binary hybrid grey wol...The optimal solution for unit commitment problem using binary hybrid grey wol...
The optimal solution for unit commitment problem using binary hybrid grey wol...IJECEIAES
 
A new simplified approach for optimum allocation of a distributed generation
A new simplified approach for optimum allocation of a distributed generationA new simplified approach for optimum allocation of a distributed generation
A new simplified approach for optimum allocation of a distributed generationIAEME Publication
 
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...Suganthi Thangaraj
 
Power system operation considering detailed modelling of the natural gas supp...
Power system operation considering detailed modelling of the natural gas supp...Power system operation considering detailed modelling of the natural gas supp...
Power system operation considering detailed modelling of the natural gas supp...IJECEIAES
 
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...IJAPEJOURNAL
 
Optimal Generation Scheduling of Power System for Maximum Renewable Energy...
   Optimal Generation Scheduling of Power System for Maximum Renewable Energy...   Optimal Generation Scheduling of Power System for Maximum Renewable Energy...
Optimal Generation Scheduling of Power System for Maximum Renewable Energy...IJECEIAES
 
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterHybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterIJECEIAES
 
Loss allocation in distribution networks with distributed generators undergoi...
Loss allocation in distribution networks with distributed generators undergoi...Loss allocation in distribution networks with distributed generators undergoi...
Loss allocation in distribution networks with distributed generators undergoi...IJECEIAES
 
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET Journal
 
Dual technique of reconfiguration and capacitor placement for distribution sy...
Dual technique of reconfiguration and capacitor placement for distribution sy...Dual technique of reconfiguration and capacitor placement for distribution sy...
Dual technique of reconfiguration and capacitor placement for distribution sy...IJECEIAES
 
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...IJECEIAES
 

What's hot (20)

Optimal distributed generation in green building assessment towards line loss...
Optimal distributed generation in green building assessment towards line loss...Optimal distributed generation in green building assessment towards line loss...
Optimal distributed generation in green building assessment towards line loss...
 
Improvement of voltage profile for large scale power system using soft comput...
Improvement of voltage profile for large scale power system using soft comput...Improvement of voltage profile for large scale power system using soft comput...
Improvement of voltage profile for large scale power system using soft comput...
 
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
 
Jh3516001603
Jh3516001603Jh3516001603
Jh3516001603
 
Power Loss Allocation in Deregulated Electricity Markets
Power Loss Allocation in Deregulated Electricity MarketsPower Loss Allocation in Deregulated Electricity Markets
Power Loss Allocation in Deregulated Electricity Markets
 
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSIMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
 
38
3838
38
 
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
 
A010430108
A010430108A010430108
A010430108
 
The optimal solution for unit commitment problem using binary hybrid grey wol...
The optimal solution for unit commitment problem using binary hybrid grey wol...The optimal solution for unit commitment problem using binary hybrid grey wol...
The optimal solution for unit commitment problem using binary hybrid grey wol...
 
A new simplified approach for optimum allocation of a distributed generation
A new simplified approach for optimum allocation of a distributed generationA new simplified approach for optimum allocation of a distributed generation
A new simplified approach for optimum allocation of a distributed generation
 
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
 
Power system operation considering detailed modelling of the natural gas supp...
Power system operation considering detailed modelling of the natural gas supp...Power system operation considering detailed modelling of the natural gas supp...
Power system operation considering detailed modelling of the natural gas supp...
 
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...
Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm ...
 
Optimal Generation Scheduling of Power System for Maximum Renewable Energy...
   Optimal Generation Scheduling of Power System for Maximum Renewable Energy...   Optimal Generation Scheduling of Power System for Maximum Renewable Energy...
Optimal Generation Scheduling of Power System for Maximum Renewable Energy...
 
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterHybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
 
Loss allocation in distribution networks with distributed generators undergoi...
Loss allocation in distribution networks with distributed generators undergoi...Loss allocation in distribution networks with distributed generators undergoi...
Loss allocation in distribution networks with distributed generators undergoi...
 
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
 
Dual technique of reconfiguration and capacitor placement for distribution sy...
Dual technique of reconfiguration and capacitor placement for distribution sy...Dual technique of reconfiguration and capacitor placement for distribution sy...
Dual technique of reconfiguration and capacitor placement for distribution sy...
 
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
 

Similar to [IJET-V1I4P9] Author :Su Hlaing Win

Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
 
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...IJMTST Journal
 
An analytical approach for optimal placement of combined dg and capacitor in ...
An analytical approach for optimal placement of combined dg and capacitor in ...An analytical approach for optimal placement of combined dg and capacitor in ...
An analytical approach for optimal placement of combined dg and capacitor in ...IAEME Publication
 
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...IRJET Journal
 
01 16286 32182-1-sm multiple (edit)
01 16286 32182-1-sm multiple (edit)01 16286 32182-1-sm multiple (edit)
01 16286 32182-1-sm multiple (edit)IAESIJEECS
 
Placement of Multiple Distributed Generators in Distribution Network for Loss...
Placement of Multiple Distributed Generators in Distribution Network for Loss...Placement of Multiple Distributed Generators in Distribution Network for Loss...
Placement of Multiple Distributed Generators in Distribution Network for Loss...IJMTST Journal
 
Optimum Location of DG Units Considering Operation Conditions
Optimum Location of DG Units Considering Operation ConditionsOptimum Location of DG Units Considering Operation Conditions
Optimum Location of DG Units Considering Operation ConditionsEditor IJCATR
 
Impact of Dispersed Generation on Optimization of Power Exports
Impact of Dispersed Generation on Optimization of Power ExportsImpact of Dispersed Generation on Optimization of Power Exports
Impact of Dispersed Generation on Optimization of Power ExportsIJERA Editor
 
IRJET- Optimization of Distributed Generation using Genetics Algorithm an...
IRJET-  	  Optimization of Distributed Generation using Genetics Algorithm an...IRJET-  	  Optimization of Distributed Generation using Genetics Algorithm an...
IRJET- Optimization of Distributed Generation using Genetics Algorithm an...IRJET Journal
 
Multi-objective optimal placement of distributed generations for dynamic loads
Multi-objective optimal placement of distributed generations for dynamic loadsMulti-objective optimal placement of distributed generations for dynamic loads
Multi-objective optimal placement of distributed generations for dynamic loadsIJECEIAES
 
Network loss reduction and voltage improvement by optimal placement and sizin...
Network loss reduction and voltage improvement by optimal placement and sizin...Network loss reduction and voltage improvement by optimal placement and sizin...
Network loss reduction and voltage improvement by optimal placement and sizin...nooriasukmaningtyas
 
A Generalized Multistage Economic Planning Model for Distribution System Cont...
A Generalized Multistage Economic Planning Model for Distribution System Cont...A Generalized Multistage Economic Planning Model for Distribution System Cont...
A Generalized Multistage Economic Planning Model for Distribution System Cont...IJERD Editor
 
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...Journal For Research
 
Multi-objective whale optimization based minimization of loss, maximization o...
Multi-objective whale optimization based minimization of loss, maximization o...Multi-objective whale optimization based minimization of loss, maximization o...
Multi-objective whale optimization based minimization of loss, maximization o...IJECEIAES
 
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...IJERD Editor
 

Similar to [IJET-V1I4P9] Author :Su Hlaing Win (20)

Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...
 
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...
Optimal Placement and Sizing of Capacitor and Distributed Generator in Radial...
 
An analytical approach for optimal placement of combined dg and capacitor in ...
An analytical approach for optimal placement of combined dg and capacitor in ...An analytical approach for optimal placement of combined dg and capacitor in ...
An analytical approach for optimal placement of combined dg and capacitor in ...
 
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...
Reconfiguration and Capacitor Placement in Najaf Distribution Networks Sector...
 
01 16286 32182-1-sm multiple (edit)
01 16286 32182-1-sm multiple (edit)01 16286 32182-1-sm multiple (edit)
01 16286 32182-1-sm multiple (edit)
 
Placement of Multiple Distributed Generators in Distribution Network for Loss...
Placement of Multiple Distributed Generators in Distribution Network for Loss...Placement of Multiple Distributed Generators in Distribution Network for Loss...
Placement of Multiple Distributed Generators in Distribution Network for Loss...
 
IJMTST020105
IJMTST020105IJMTST020105
IJMTST020105
 
Optimum Location of DG Units Considering Operation Conditions
Optimum Location of DG Units Considering Operation ConditionsOptimum Location of DG Units Considering Operation Conditions
Optimum Location of DG Units Considering Operation Conditions
 
[IJET-V1I4P7] Authors :Su Mon Myint
[IJET-V1I4P7] Authors :Su Mon Myint[IJET-V1I4P7] Authors :Su Mon Myint
[IJET-V1I4P7] Authors :Su Mon Myint
 
Impact of Dispersed Generation on Optimization of Power Exports
Impact of Dispersed Generation on Optimization of Power ExportsImpact of Dispersed Generation on Optimization of Power Exports
Impact of Dispersed Generation on Optimization of Power Exports
 
IRJET- Optimization of Distributed Generation using Genetics Algorithm an...
IRJET-  	  Optimization of Distributed Generation using Genetics Algorithm an...IRJET-  	  Optimization of Distributed Generation using Genetics Algorithm an...
IRJET- Optimization of Distributed Generation using Genetics Algorithm an...
 
Multi-objective optimal placement of distributed generations for dynamic loads
Multi-objective optimal placement of distributed generations for dynamic loadsMulti-objective optimal placement of distributed generations for dynamic loads
Multi-objective optimal placement of distributed generations for dynamic loads
 
Fi36983988
Fi36983988Fi36983988
Fi36983988
 
Network loss reduction and voltage improvement by optimal placement and sizin...
Network loss reduction and voltage improvement by optimal placement and sizin...Network loss reduction and voltage improvement by optimal placement and sizin...
Network loss reduction and voltage improvement by optimal placement and sizin...
 
A Generalized Multistage Economic Planning Model for Distribution System Cont...
A Generalized Multistage Economic Planning Model for Distribution System Cont...A Generalized Multistage Economic Planning Model for Distribution System Cont...
A Generalized Multistage Economic Planning Model for Distribution System Cont...
 
40220140504003
4022014050400340220140504003
40220140504003
 
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...
VOLTAGE PROFILE IMPROVEMENT AND LINE LOSSES REDUCTION USING DG USING GSA AND ...
 
Multi-objective whale optimization based minimization of loss, maximization o...
Multi-objective whale optimization based minimization of loss, maximization o...Multi-objective whale optimization based minimization of loss, maximization o...
Multi-objective whale optimization based minimization of loss, maximization o...
 
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
 
Db34623630
Db34623630Db34623630
Db34623630
 

More from IJET - International Journal of Engineering and Techniques

More from IJET - International Journal of Engineering and Techniques (20)

healthcare supervising system to monitor heart rate to diagonize and alert he...
healthcare supervising system to monitor heart rate to diagonize and alert he...healthcare supervising system to monitor heart rate to diagonize and alert he...
healthcare supervising system to monitor heart rate to diagonize and alert he...
 
verifiable and multi-keyword searchable attribute-based encryption scheme for...
verifiable and multi-keyword searchable attribute-based encryption scheme for...verifiable and multi-keyword searchable attribute-based encryption scheme for...
verifiable and multi-keyword searchable attribute-based encryption scheme for...
 
Ijet v5 i6p18
Ijet v5 i6p18Ijet v5 i6p18
Ijet v5 i6p18
 
Ijet v5 i6p17
Ijet v5 i6p17Ijet v5 i6p17
Ijet v5 i6p17
 
Ijet v5 i6p16
Ijet v5 i6p16Ijet v5 i6p16
Ijet v5 i6p16
 
Ijet v5 i6p15
Ijet v5 i6p15Ijet v5 i6p15
Ijet v5 i6p15
 
Ijet v5 i6p14
Ijet v5 i6p14Ijet v5 i6p14
Ijet v5 i6p14
 
Ijet v5 i6p13
Ijet v5 i6p13Ijet v5 i6p13
Ijet v5 i6p13
 
Ijet v5 i6p12
Ijet v5 i6p12Ijet v5 i6p12
Ijet v5 i6p12
 
Ijet v5 i6p11
Ijet v5 i6p11Ijet v5 i6p11
Ijet v5 i6p11
 
Ijet v5 i6p10
Ijet v5 i6p10Ijet v5 i6p10
Ijet v5 i6p10
 
Ijet v5 i6p2
Ijet v5 i6p2Ijet v5 i6p2
Ijet v5 i6p2
 
IJET-V3I2P24
IJET-V3I2P24IJET-V3I2P24
IJET-V3I2P24
 
IJET-V3I2P23
IJET-V3I2P23IJET-V3I2P23
IJET-V3I2P23
 
IJET-V3I2P22
IJET-V3I2P22IJET-V3I2P22
IJET-V3I2P22
 
IJET-V3I2P21
IJET-V3I2P21IJET-V3I2P21
IJET-V3I2P21
 
IJET-V3I2P20
IJET-V3I2P20IJET-V3I2P20
IJET-V3I2P20
 
IJET-V3I2P19
IJET-V3I2P19IJET-V3I2P19
IJET-V3I2P19
 
IJET-V3I2P18
IJET-V3I2P18IJET-V3I2P18
IJET-V3I2P18
 
IJET-V3I2P17
IJET-V3I2P17IJET-V3I2P17
IJET-V3I2P17
 

Recently uploaded

Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSHARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSRajkumarAkumalla
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Dr.Costas Sachpazis
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 

Recently uploaded (20)

Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSHARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 

[IJET-V1I4P9] Author :Su Hlaing Win

  • 1. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 45 A Load Flow based Approach for Optimum Allocation of Distributed Generation Units in the 43-bus Distribution Network of Belin Substation in Myanmar Su Hlaing Win1 1(Electrical Power Department, Mandalay Technological University, and Mandalay) I. INTRODUCTION Distribution systems have been operated in a vertical and centralized manner for many years for best control and coordination of their protective devices. Distribution systems are characterized by high R/X branch ratios with radial or weakly- meshed topological structure. In fact, the radial topological structure makes distribution systems the most extensive part in the entire power system. The poor voltage regulation and the high line resistance both play a significant role in increasing total power losses of distribution systems. Minimization of power losses of distribution systems is constantly achieved by feeder reconfiguration techniques. At present, the environmental issues has been the major reasons DG been so popular. Customers want the energy that cleaner and has less impact to the environment. They tend to choose DG as alternative power generating because the DG not only use the fuel fossil but also can be generates electricity with renewable sources. Nowadays, the need for more quality of electric supply has become priority for consumer. They are aware of the value of reliable electric supply. There are several reliability problems that disturbing distribution networks. Apart from the large voltage drops to near zero, consumer can also suffered from smaller voltage deviations. For example in radial networks, bus voltages happens to decrease as the distances from the distribution transformer increases and may become lower than the minimum voltage permitted by the utility. By adding DG, the branches current were reduces which causing the reduction of losses and increasing of voltage through feeder. II. PROPOSED METHODOLOGY In this paper 43-bus distribution system is used to locate the DG in an optimal place with the proper sizing. The proposed technique succeeds in solving single DG installation for distribution system.The proposed approach needs power flow to RESEARCH ARTICLE OPEN ACCESS Abstract: In this paper a load flow based method using MATLAB Software is used to determine the optimum location and optimum size of DG in a 43-bus distribution system for voltage profile improvement and loss reduction. This paper proposes analytical expressions for finding optimal size of three types of distributed generation (DG) units. DG units are sized to achieve the highest loss reduction in distribution networks. Single DG installation case was studied and compared to a case without DG, and 43-bus distribution system is used to demonstrate the effectiveness of the proposed method. The proposed analytical expressions are based on an improvement to the method that was limited to DG type, which is capable of injecting real power only, DG capable of injecting reactive power only and DG capable of injecting both real and reactive power can also be identified with their optimal size and location using the proposed method. This paper has been analysed with varying DG size and complexity and validated using analytical method for Summer case and Winter case in 43-bus distribution system in Myanmar. Keywords- analytical method,distributed generation,power loss reduction,voltage profile improvement.
  • 2. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 46 be run for two times, one for the initial base case and another at the final stage with the DG to obtain the optimal solution. A. Sizing at Various Location Distributed Generation sizing and location at optimal places in radial distribution feeder gathers a great importance in power system area. The installation of DG at non-optimal places leads to higher losses and reduced voltage profile. For that reason, the development of new method called analytical approach is capable of indicating the DG unit allocation and sizing at optimal places which improves the power system operation characteristics. The proposed methodology aims to optimize the better location and sizing of DG unit to reduce the power losses and improves the voltage profile. Real Power loss in the system can be calculated by Equation (1) given the system operating condition, ( ) ( )[ ]∑ = ∑ = −++= N i N j jQiPjPiQijβjQiQjPiPijαLP 1 1 (1) Where, ( )jδiδ jViV ijr ijα −= cos (2) ( )jδiδ jViV ijr ijβ −= sin (3) The minimize reactive power loss will have significant impact on voltage stability of the power system. The reactive power loss formula is given by Equation (4), ( ) ( )∑ = ∑ =     −++= N j N k k QjP k PjQ jk ζ k QjQ k PjP jk γLQ 1 1 (4) Where, ( )k δjδ k VjV jk X jk γ −= cos (5) ( )k δjδ k VjV jk X jk ζ −= sin (6) Where, n is the number of lines are function of loss coefficient between bus i and j. P i is real power flow at bus i in MW. Q i is reactive power flow at bus i in MVAR. P j is real power flow at bus j in MW. Q j is reactive power flow at bus j in MVAR. P Di and Q Di are the loads. R ij is Resistance of the line connecting bus i and j in Ohms. X ij is Reactance of the line connecting bus i and j in Ohms. V i and V j are bus voltage magnitude at bus i and j in PU. δ i and δj are bus voltage angles at bus i and j. B. Types of DG DG can be classified into four major types based on their terminal characteristics in terms of real and reactive power delivering capability as follows: 1. DG capable of injecting active power only. 2. DG capable of injecting reactive power only. 3. DG capable of injecting both active an reactive power. 4. DG capable of injecting active power but consuming reactive power. Photo voltaic, micro turbines, fuel cells which are integrated to main grid with the help of converters/inverters are good examples of type1. For Type-1 DG, the optimal size of DG at each bus i for minimizing losses is given by Equation (7), ( )        ∑ ≠= −++= N i,jj jQijβjPijαiQiiβ iiαDiPDGiP 1 1 (7) Pi=PDGi- PDi (8) The loss coefficients ∝ and are obtained from the base case load flow, and while strictly speaking, they should be updated at every load flow step, the changes in the loss coefficients are small and have a negligible effect on the optimal DG size result. Real power loss reduction by DG, % LossP DG LossPLossP PLR 100× − = (9) LossP is the real power loss of the system before introducing DG.
  • 3. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 47 DG LossP is the real power loss of the system after adding DG. Synchronous motors such as gas turbines are examples for type2. For type-2 DG, the optimal size of DG at each bus i for minimizing losses is given by Equation (10), ( )        ∑ ≠= +−+= N i,jj jPijβjQijαiPiiβ iiαDiQDGiQ 1 1 (10) DiQDGiQiQ −= (11) Reactive power loss reduction by DG, % LossQ DG LossQLossQ QLR 100× − = (12) LossQ is the reactive power loss of the system before introducing DG . DG LossQ is the reactive power loss of the system after adding DG. DG units that are based on synchronous machine fall in type 3. 22 DGi Q DGi P DGi S += (13) When power factor of DG is set to be equal to that of combined total loads, computational procedure to find optimal size and location of one of four types of DGs is described in the following. (1) Start the Process. (2) Run the Base Case without DG using Newton -Raphson load flow using MATLAB software and calculate the bus voltage magnitude, Angle, Real and Reactive Power Loss Respectively. (3) After Load flow Identify the optimum sizing for each bus using Equation 7 and 10. (4) By using Equation 7 and 10 find out the approximate losses for each bus by placing DG at the corresponding location with the optimum sizing obtain from the above step. Calculate the approximate loss for each case using Equation 1 and Equation 4with the values α and β of base case. (5) Check for Constraint Violation after DG placement. (6) Locate the bus at which the loss is minimum after DG placement and this is the optimum location for DG. (7) Stop the Process. III. DATA ALALYSIS OF DISTRIBUTION NETWORKOF BELIN At Belin, Yeywa and Shwesaryan are incoming loads which are the total power demand of Belin. And then, Belin substation gives back power to the load sides as outgoing feeders such as MOGE, Kyaukse, Dattaw, Ministry of industry, Sin Min 3 and Sin Min 1 and Sin Min 2. It has two generation sources. Hydro is the main source. This paper was applied on an existing distribution feeder. The 43-bus distribution system is extracted from 230/33/11kV Belin Substation in Kyaukse area of Myanmar.The capacity of the system is 1270 MW and 698 Mvar. The one line diagram of the 43-bus distribution system under study is shown in Fig. 1. A computer program has been written in MATLAB to calculate the optimal sizes of DG at various bus and approximate total losses with DG at different locations identify the best location. A Newton-Raphson algorithm based load flow program is used to solve the load flow problem. The proposed optimal DG size and placement in the distribution systems was coded in MATLAB Version 7.10.0.499 (R2010a). IV. SIMULATION RESULTS The proposed methodology was applied on 43- bus distribution system in Belin Substation in Myanmar with different sizes are simulated in MATLAB environment to calculate the optimum DG sizes for various buses and approximate total power losses with DG at various location. To find the proper DG allocation in 43-bus distribution system for voltage profile improvement is the main aim of this procedure. This thesis is proposed an analytical expression to calculate DG optimal size and placement for minimizing the total power losses in primary distribution system. This paper was divided into two main parts. Two different cases for 43-bus distribution system were
  • 4. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 48 used to analyse the proposed analytical method in finding the optimal DG size and place. The first case is a 43-bus distribution system for summer and the second case is a 43-bus distribution system for winter. The loads for two cases are constant and the generation sources are variable for two cases in this paper. Fig. 1.. One Line Diagram of the 43-bus Distribution System in Myanmar A. Case 1: Base Case Study for Summer In the first simulation, no DG is connected to the system voltage magnitudes at all buses for summer is recorded. The voltage magnitude of all buses is plotted in Fig. 2. Fig. 2. Voltage Magnitude at Various Buses for Base Case Study for Summer B. Optimum Size Allocation of Type-1 DG for Summer 21 15 41 28 1 5 4 3 2 9 8 7 6 36 22 23 24 25 27 26 29 30 31 32 34 33 37 39 38 10 35 40 11 12 14 13 43 42 18 17 16 20 19
  • 5. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 49 Based on the proposed analytical expression optimum sizes of DG’s are determined using Equation 7 at various nodes for Belin distribution system in Myanmar. Fig.3. Optimum Real Power Size of Type-1 DG for Summer In Belin distribution system the optimum sizes of DG ranging from 1.1555 MW to 23.6106 MW for summer. As far as one location is concerned, in a distribution system, corresponding Fig.3.would give the value of DG size to have a ‘‘possible minimum’’ total loss. C. Optimum Size Allocation of Type-2 DG for Summer In this distribution system, the optimum reactive power sizes of summer ranging from 2.8809 Mvar to 16.842 Mvar as shown in Fig.4. Fig.4.Optimum Reactive Power Size of Type-2 DG for Summer D. Optimum Size Allocation of Type-3 DG for Summer The optimum size of type 3 DG at various nodes for 43- bus distribution system is shown in Fig .5. Fig 5.Optimum Size of Type-3 DG at 43-bus Distribution System for Summer The decrease in total power loss depends on the location and size of DG. The range of optimum sizes of Type-3 DG for summer is from 22.42MW to 295.5 MW. E. Selection of Optimal Location of DG Type-1 for Summer The optimal location can be found for the placement of optimal size of DG as shown in Fig.6.as obtained from Equation 6 which will give the lowest possible total loss due to placement of DG at the respective bus is as shown in Fig.6. Fig.6. Total Real Power Losses with DG for Summer F. Selection of Optimal Location of DG Type-2 for Summer
  • 6. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 50 This step is to find the optimum DG location, which will give the lowest possible total losses. Fig.7.Total Reactive Power Losses with DG for Summer Fig.7. shows the total reactive power losses for 43-bus distribution system with optimum DG size obtained at various nodes and average reactive power loss is reduced to the range of 0.4763 Mvar to 0.0491 Mvar. G. Selection of Optimal Location of DG Type-3 for Summer Fig.8. shows the approximate total power losses for 43-bus distribution systems with optimum DG sizes obtained at various nodes of respective system. The figures also show the accurate loss. Fig.8.Total Real Power Losses of Type-3 with DG for Summer The allocating optimal location is find for the placement of accurate size of DG at the respective bus as shown in Fig.9 and which will produce the lowest loss due to the placement of DG at the respective bus is shown Fig.9. Fig.9. Total Reactive Power Losses of Type-3 with DG for Summer at 43-bus Distribution System H. Optimum Bus Voltage profile for Summer Case The voltage at various buses should be maintained within the acceptable limits to meet out the power system demand. But the bus voltage may reach the permissible limit when DG is not connected to the distribution system or the bus voltage may lack due to some disturbances. For this reason Distributed Generation should be placed and sized at the relevant bus location in radial distribution system. The improvement of voltage profile of the DG for summer installed is shown in Fig.10.
  • 7. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 51 Fig.10. Bus Voltage Profile with and without DG of 43 bus system for Summer I. Case 2: Base Case Study for Winter In the second simulation, no DG is connected to the system and power loss and voltage magnitudes at all buses for summer are recorded. The voltage magnitude of all buses is plotted in Fig.11. Fig.11. Voltage magnitude at various buses for base case study for Winter J. Sizing at Various Location of DG Type-1 for Winter Based on the proposed analytical expression, optimum sizes of DGs are calculated at various nodes for the 43 bus distribution system. Fig.12. show optimum sizes of DG at various nodes for 43 bus distribution test system. Fig.12 .Optimum Real Power Size of Type-1 DG for Winter at 43-bus Distribution System K. Sizing at Various Location of DG Type-2 for Winter Based on the analytical expressions, optimum sizes of DG are calculated using Equation 15 at various nodes for the system. Fig.13. shows optimum sizes of DG at various buses for 43- bus distribution system. Fig.13. Optimum Reactive Power Size of Type-2 DG for Winter L. Sizing at Various Location of DG Type-3 for Winter Analytical expression, the optimum size of Type-3 DG is calculated at each bus for 43-bus distribution system and bus having least total
  • 8. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 52 power loss will be the optimal location for the placement of DG; the best location is bus 30 with a total real power loss of 0.000003015 kW as shown in Fig.14. Fig.14. Optimum Reactive Power Size of Type-3 DG for Winter at 43-bus Distribution System M. Location to Minimize Losses of DG Type-1 for Winter Based on this result of DG sizing the optimal location of DG is determined where the total real power loss is minimum at the respective buses as shown in Fig.15. Fig . 15. Total Real Power Losses of Type-1 with DG for Winter at 43-bus Distribution System N. Location to Minimize Losses of DG Type-2 for Winter Fig.16. shows the approximate total reactive power losses for 43-bus distribution system with the optimum DG size obtained at various nodes of 43- bus system. This Figure also shows the accurate loss. Fig.16. Total Reactive Power Losses of Type-2 with DG for Winter O. Location to Minimize Losses of DG Type-3 for Winter Fig.17 demonstrates the total real power losses as a result of Type-3 DG at each bus. Bus 30, the selected location of the DG has a total power loss of 0.000003015 MW as shown in Fig.17, compared with other buses. Fig.17.Total Real Power Losses of Type-3 with DG for Winter The optimal location of Type-3 DG for winter is bus 30. The reduction in reactive power loss for this
  • 9. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 53 case is reduced to 0.00001018 Mvar. As can be seen from results of Fig.18, the location and size of DG play an important role in loss reduction of primary distribution system. Fig.18.Total Reactive Power Losses of Type-3 with DG for Winter P. Variation of bus voltage with DG for Winter Case Fig.19. shows the voltage level comparison for the 43-bus distribution system with and without installation of DG system. In order to have a clear comparison, bus voltages in the base case and also after installation of DG units are illustrated in Fig.19. Fig.19. Bus Voltage Profile with and without DG of 43-bus system for Winter The outcomes represent that installation of DG units considerably improves the voltage profile. Note that installation of DG units give better average voltage levels (1.06 per unit) compared with the original system. In the system without DG units, the lowest voltage level is 0.903 per unit. IV. CONCLUSIONS In this paper a new emerging method called analytical approach is used to identify the optimal placement and optimum sizing of Distributed Generation in 43-buses distribution feeder for Belin Substation in Myanmar. The installation of DG units in power distribution networks is becoming more prominent. These benefits include reducing power losses, improving voltage profiles, reducing emission impacts and improving power quality. Different types of DG installed in this system have different impacts on real and reactive power loss reduction. Optimal size and location of DG are also changed with different types of DG installed in the system. Analytical method is used to determine optimal size and the location for both type-1, type-2 and type-3.The three types of DG effectively reduced the real power loss, reactive power loss and voltage profile are also improved. DG type 3 has the most effective way of reducing real and reactive power loss, following by DG type 1 and DG type 2 respectively. It is also interesting to note that DG type 3 has the highest loss reduction since it can generate both real and reactive power and DG type 2 has the lowest loss reduction since it consumes reactive power in the system. It has been shown that voltage profile is significantly improved by placing DG in distribution system and the losses have been reduced by 96.15 % for summer case and 99.78% for winter case. The results demonstrated and emphasized that DG installation decreased total real and reactive power losses more than without DG installations. ACKNOWLEDGMENT The author would like to express her deepest great thank to her parents, U Kyaw Win and Daw Kyi Htay for noble support to her all times and their unique loving kindness to attain her destination
  • 10. International Journal of Engineering and Techniques - Volume 1 Issue 4, July –Aug 2015 ISSN: 2395-1303 http://www.ijetjournal.org Page 54 without any trouble. Moreover, the author would like to thank her grandparents and two younger sisters. REFERENCES 1. W.El-Khattam, M.M.A.Salama, “Distributed Generation Technologies, definitions and benefits”, Electric Power Systems Research, Vol.No.71, pp.119-128, 2004. 2. Dugan R.C., Price S.K.‘Issues for distributed generations in the US’. Proc. IEEE PES, Winter Meeting, January 2002, vol. 1, pp. 121–12 3. Griffin T, Tomosovic K, Secrest D, Law A. Placement of dispersed generation systems for reduced losses. In: Proceedings of the 33rd Hawaii international conference on sciences, Hawaii, 2000. 4. Borges CLT, Falcao DM. Impact of distributed generation allocation and sizing on reliability, losses and voltage profile. In: Proceedings of IEEE Bolonga power technology conference, 2003. 5. Rizy, F. Li, H. Li, S. Adhikari, and J. Kueck, “Properly understanding the impacts of distributed resources on distribution systems,” in Power and Energy Society General Meeting, IEEE, 2010. 6. Anshu Bharadwaj and Rahul Tongia, Member, IEEE “Distributed Power Generation: Rural India-A Case Study 7. H. L. Willis, Distributed Power Generation: Planning and Evaluation, CRC Press, 2000.