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IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 4 Ver. III (July โ€“ Aug. 2015), PP 01-08
www.iosrjournals.org
DOI: 10.9790/1676-10430108 www.iosrjournals.org 1 | Page
Placement and Sizing of Capacitor and Renewable DG for Loss
Minimization at Different Load Levels Using Matlab/Simulink
Ameerunnisa Begum1
, M.Ravi Kumar 2
1
(EEE Department, Prasad V.Potluri Siddhartha Institute of Technology, A.P,India)
2
(Assistant Professor, EEE Department, Prasad V.Potluri Siddhartha Institute of Technology, A.P, India)
Abstract: The proposed paper presents a simple methodology for active power loss minimization and it is
carried through optimal placement and sizing of capacitor and Distributed Generation (DG).The placement of
capacitor and DG is done through loss sensitivity factor which is one of the concepts in the field of distribution
system and it is used to identify the potential nodes. In our proposed method we have considered a single
capacitor and single DG for placement. After identifying the potential node, the capacitor sizing is done by
calculating compensative reactive power (๐‘„๐‘) for different load levels. Next, the sizing of distributed generation
is carried on by considering different penetration levels i.e., from 10% to 90% of the total system active power
load at different load levels. So, finally we reach to a conclusion of loss minimization at some particular
penetration level for different load levels. Thus, the reactive power compensation through capacitor and the
active power injection from renewable Distributed Generation which is placed near to the load centres
contributes for system voltage support and active power loss minimization. Nevertheless, the acceptable method
also meet the necessities like reasonable speed, storage, highly authentic, assumed versatility and simplicity.
Finally the proposed methodology is implemented through MATLAB/SIMULINK on 12, 15, 33 bus radial
distribution system.
Keywords: Active power loss, Capacitor and DG placement, Different load levels, Loss indices, Penetration
levels, Radial Distribution System, Voltage profile improvement.
I. Introduction
One of the major troubles in the power industry is the day to day increase in power requirement but the
inaccessibility of enough resources to meet the power demand using the conventional energy sources. Now-a-
days renewable energy sources are the key to a sustainable energy supply as they are non polluting and low
maintenance cost. Distributed Generation (DG) which comprises of several renewable resources, is a small
power generation unit that can be connected instantly to distribution network or inside the adeptnessโ€Ÿs of the
large consumers [1]. The loss reduction in distribution systems has accepted greater implication now-a-days as
several studies described that at the distribution level mostly 13% of total generated power is desolated as losses
. We have a numerous benefits from DG [2, 3] .Legion studies used various advances to assess the benefits from
DGโ€Ÿs mostly concentrating on loss reduction, reduction of loading level. To achieve the benefits the DG should
be authentic, dispel, of the proper sizing and at the proper placement [4, 5].so for the reduction of line loss of
power system it is crucial to determine the size and placement of DG Also, capacitor is installed to improve the
power factor and voltage profile, therefore to meet the mentioned objectives the optimal placement of and sizing
of capacitor is essential. We have several optimization techniques and algorithms in the past for the optimal
placement and sizing of capacitors.Schmill [6] proposed his most famous2/3 rule for the placement of only one
capacitor. Duran et al [7] employed dynamic programming for capacitor placement and he considered the
capacitor sizes as discrete variables. Grainger and Lee [8] employed a non linear programming method and the
capacitor placement and sizing is expressed as continuous variables. Sundharajan and Pahwa [9] employed
genetic algorithm approach for the placement of capacitor. All the proposed methods mentioned above employ
capacitors as continuous variables but in general capacitors are available as discrete. We do have several
approaches in the past for the optimal placement and sizing of renewable DG units.Chiradeja and Ramkumar [3]
proposed a simple approach and indices for improvement of voltage profile, reduction of loss and reduction of
environmental impacts by optimal placement and sizing of DG. Mithulanathan et al [10] proposed a genetic
algorithm based approach for the reduction in real power loss by optimal placement of DG. .Naresh Acharya
[11] has given a heuristic method for placement and sizing of DG to reduce the real power losses but it requires
more computational attempts. Kamel and Karmanshahi [12] employed an algorithm for optimal placement and
sizing of DG at any bus and found reduction in loss in the distribution system. Khan and Choudhry [13]
employed an algorithm for voltage profile improvement and to minimize loss under arbitrarily distributed load
conditions and with low power factor for unit as well as multiple DGโ€Ÿs. .In the several studies concerned to
location and sizing of DG the loads are in general modelled as constant power loads or constant current loads, in
our study we implemented a constant power load. DG penetration has a lot of underlying benefits to the existing
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 2 | Page
systems but also produces substantial challenges [14].When the DG is connected the way and the amount of
power flow in the distribution network depends on several elements in addition to size, of DG, placement of
DG, consumer need and the network structure etc.Hence the DG connection may increase or decrease the
distribution loss depending on the mentioned elements. DG source which is an active voltage source may also
contribute for the improvement of voltage profile at distribution side. Numerous analyses have been done in the
literature survey [15, 16] to study the affect of DG penetration level on the distribution loss. Hence, in our
proposed paper we have considered different penetration levels for the sizing of DG and employed the
placement and sizing at different load levels.
II. Theoritical Analysis
An equivalent single phase feeder is considered for a balanced Radial Distribution Network is as
follows and it represents the sending end bus and its voltage, receiving end bus and its voltage, feeder branch
current and impedance of the branch.
Fig1: An equivalent single phase feeder
The loads of a distribution system that are connected to various buses are assumed to be constant power
loads. Consider a bus-i where a constant power loads ๐‘†๐ฟ๐‘– =๐‘ƒ๐ฟ๐‘– +j๐‘„ ๐ฟ๐‘– has been connected and the equivalent
current injection at bus i is represented as follows:
Fig2: Equivalent current injection at bus i
2.1 PQ Model of DG:
As DGs are generally smaller in size compared to conventional power sources the constant power
model is sufficient for the analysis of distribution system also as they regulate power and power factor they are
modelled as negative loads .The PQ model is as shown below:
Fig3: Load models and DG as their power factor
2.2 Active power loss in a distribution system:
The total active power loss ๐‘ƒ๐‘Ž in a distribution system having m number of branches can be obtained as follows:
๐‘ท ๐’‚๐’•= ๐‘ฐ๐’Š
๐Ÿ๐’Ž
๐’Š=๐ŸŽ ๐‘น๐’Š (1)
Where, ๐ผ๐‘– is the magnitude of the branch current and ๐‘…๐‘– is the resistance of ๐‘– ๐‘กโ„Ž
branch.
2.3 Identification of potential node for Capacitor and DG placement:
The identification is done through power loss indices, the capacitor placement is performed by
considering the active power loss indices by making the reactive power zero at each node or load one at a time.
Similarly the DG placement is performed by considering the active power loss indices by making the active
power zero at each node or load one at a time. So, finally the most sensitive node whose indices are โ€ž1โ€Ÿ is
considered as the potential node for capacitor and DG placement and the same procedure is carried on for all the
proposed buses. Thus after calculating the injected powers at each node by making the reactive and active power
zeros each time the power loss indices(PLI) can be calculated as follows:
PLI=
(๐‹๐จ๐ฌ๐ฌ ๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐ข โˆ’๐Œ๐ข๐ง.๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง)
(๐Œ๐š๐ฑ.๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐งโˆ’๐Œ๐ข๐ง .๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง)
(2)
Where, Loss Reduction[i] =๐‘ท ๐’ƒ๐’‚๐’”๐’† -๐‘ท(๐’Š) (3)
๐‘ƒ๐‘๐‘Ž๐‘ ๐‘’ is the base case active power power.
๐‘ƒ(๐‘–) is the active power loss obtained at each node by making reactive power zero for capacitor placement/active
power zero for DG placement.
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 3 | Page
2.4 Sizing of capacitor and DG:
After the placement the sizing of capacitor is done initially by calculating ๐‘„๐‘ which is the required
reactive power for compensation and it is obtained as follows:
๐‘ธ ๐’„=P (๐ญ๐š๐ง โˆ… ๐Ÿ-๐ญ๐š๐ง โˆ… ๐Ÿ) (4)
โˆ… ๐Ÿ=๐œ๐จ๐ฌโˆ’๐Ÿ ๐‘ท
๐‘บ
(5)
S= ๐‘ท ๐Ÿ + ๐‘ธ ๐Ÿ (6)
๐‘ฟ ๐’„=
๐‘ฝ ๐Ÿ
๐‘ธ ๐’„
(7)
C=
๐Ÿ
๐Ÿ๐…โˆ—๐’‡โˆ—๐‘ฟ ๐’„
(8)
๐‘„๐‘ is the required compensation in KVAR
P is the active power injected including losses in KW
Q is the reactive power injected including losses in KVAR
cosโˆ…2 is the power factor to be maintained by the system, and in our paper it is chosen as 0.98 So, finally ๐‘„๐‘ is
calculated in percentage and that percentage of total reactive power load is modelled as negative load at the
identified potential node and the similar procedure is performed for different load levels for all the proposed
buses for capacitor sizing.
Considering capacitor sizing that is done previously for different load levels, here DG sizing is done by
considering different penetration levels from 10% to 90% of the total active power load that to be placed at the
most potential node obtained through PLI for DG placement. At some level it is observed that the losses are
increased instead of decreasing even though there is an improvement in the voltage profile and that level can be
concluded as the optimal placement for both the Capacitor and DG placement.
III. Simulation Analysis
3. 1 12 bus RDS analysis:
3.1.1 Single line diagram for a 12 bus RDS:
Test1 is performed on 12 bus system, the line and load data for IEEE 12 bus radial distribution system is
available in [17].
Fig4: Single line diagram
3.1.2 Simulation diagram:
Fig5: Implemented simulation diagram
Table 1. Results of 12 bus system for different load levels at base case
Different load levels Active power loss(KW) Minimum voltage profile(pu)
0.5 p.u 4.881 V(12)=0.9736
1 p.u 20.311 V(12)=0.9458
1.2 p.u 29.841 V(12)=0.9342
The base case results are compared with [17], through the loss sensitivity factor method the potential
nodes for capacitor and DG placement is obtained as 8 and 11 respectively. The reactive power to be injected by
capacitor and active power injected by DG can be considered as 77% and 50% of the total reactive power and
active power of the system respectively at different load levels.
V (*) represents minimum voltage is observed at that particular bus.
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 4 | Page
Table2.Distribution loss and voltage profile analysis using simulink with placement and sizing of
capacitor and DG
Different load levels Active power loss(KW) Voltage profile(pu)
0.5 p.u 0.989 V(5)=0.9964
1 p.u 3.764 V(6)=0.9926
1.2p.u 5.509 V(6)=0.9911
For a 12 bus system, at 0.5 pu load the active power loss is improved from 4.881KW to 0.989 KW and
minimum voltage profile is improved from 0.9736 pu to 0.9964 pu at bus 5.Similarly, for 1 pu load the active
power loss is improved from 20.311 kW to 3.764 KW and minimum voltage profile is improved from 0.9458 pu
to 0.9926 pu at bus 6.Similarly, for 1.2 pu load, the active power loss is improved from 29.841KW to 5.509 KW
and minimum voltage profile is improved from 0.9342 pu to 0.9911 pu at bus 6.
Fig6: Voltage profiles & active power loss of 12 bus radial distribution system
3.2 15 bus RDS analysis:
3.2.1 Single line diagram for a 15 bus RDS:
Test2 is performed on 15 bus system, the line and load data for IEEE 12 bus radial distribution system is
available in [18].
Fig7: Single line diagram
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 5 | Page
3.2.2 Simulation diagram:
Fig8: Implemented simulation diagram
Table 3. Results of 15 bus system for different load levels at base case
Different load levels Active power loss (KW) Minimum voltage profile(pu)
0.5 p.u 14.795 V(13)=0.9719
1 p.u 62.020 V(13)=0.9424
1.2 p.u 91.214 V(13)=0.9300
The base case results are compared with [19], through the loss sensitivity factor method the potential
nodes for capacitor and DG placement is obtained as 15 and 13 respectively. The reactive power to be injected
by capacitor and active power injected by DG can be considered as 80% and 30% of the total reactive power
and active power of the system respectively at different load levels.
V (*) represents minimum voltage is observed at that particular bus.
Table4.Distribution loss and voltage profile analysis using simulink with placement and sizing of
capacitor and DG
Different load levels Active power loss (KW) Voltage profile (pu)
0.5 p.u 8.431 V(7)=0.9863
1 p.u 34.447 V(7)=0.9720
1.2p.u 50.192 V(7)=0.9661
For a 15 bus system, at 0.5 pu load the active power loss is improved from 14.795 KW to 8.431 KW
and minimum voltage profile is improved from 0.9719 pu to 0.9863 pu at bus 7.Similarly, for 1 pu load the
active power loss is improved from 62.020 KW to 34.447 KW and minimum voltage profile is improved from
0.9424 pu to 0.9720 pu at bus 7.Similarly, for 1.2 pu load, the active power loss is improved from 91.214 KW
to 50.192 KW and minimum voltage profile is improved from 0.9300 pu to 0.9661pu at bus 7.
Fig9: Voltage profiles & active power loss of 15 bus radial distribution system
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 6 | Page
3.3 33 bus RDS analysis:
3.3.1 Single line diagram for a 33 bus RDS:
Test2 is performed on 15 bus system, the line and load data for IEEE 12 bus radial distribution system is
available in [20].
Fig10: Single line diagram
3.3.2 Simulation diagram:
Fig11: Implemented simulation diagram
Table 5.Results of 33 bus system for different load levels at base case using simulink
Different load levels Active power loss (KW) Minimum voltage profile (pu)
0.5 p.u 47.073 V(18)=0.9582
1 p.u 202.942 V(18)=0.9130
1.2 p.u 301.508 V(18)=0.8938
The base case results are compared with [19], through the loss sensitivity factor method the potential
nodes for capacitor and DG placement is obtained as 30 and 32 respectively. The reactive power to be injected
by capacitor and active power injected by DG can be considered as 67% and 40% of the total reactive power
and active power of the system respectively at different load levels and for 0.5 pu load the DG is considered as
30%.
V(*) represents minimum voltage is observed at that particular bus.
Table 6. Distribution loss and voltage profile analysis using simulink with placement and sizing of
capacitor and DG
Different load levels Active power loss (KW) Voltage profile(pu)
0.5 p.u 18.363 V(18)=0.9732
1 p.u 75.139 V(18)=0.9500
1.2p.u 109.223 V(18)=0.9392
For a 33 bus system, at 0.5 pu load the active power loss is improved from 47.073 KW to 18.363 KW
and minimum voltage profile is improved from 0.9582 pu to 0.9732 pu at bus 18.Similarly, for 1 pu load the
active power loss is improved from 202.942 KW to 75.139 KW and minimum voltage profile is improved from
0.9130 pu to 0.9500 pu at bus 18.Similarly,for 1.2 pu load, the active power loss is improved from 301.508 KW
to 109.223KW and minimum voltage profile is improved from 0.8938 pu to 0.9392 pu at bus 18.
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
DOI: 10.9790/1676-10430108 www.iosrjournals.org 7 | Page
Fig12: Voltage profiles & active power loss of 33 bus radial distribution system
IV. Conclusion
In this paper a simulink model is constructed ,with this methodology for 12 bus system without
capacitor and DG the total active power losses are 4.881KW, 20.311KW, 29.841KW and minimum voltage
profiles are 0.9736pu, 0.9458pu, 0.9342pu at 0.5, 1, 1.2 pu load levels respectively. After placement of capacitor
and DG active power losses are reduced to 0.989 KW,3.764KW,5.509KW and minimum voltage profiles are
0.9964pu,0.9926pu,0.9911pu load levels respectively. For 15 bus system without capacitor and DG the total
active power losses are 14.795KW,62.020KW, 91.214KW and minimum voltage profiles are
0.9719pu,0.9424pu,0.9300pu at 0.5,1,1.2 pu load levels respectively. After placement of capacitor and DG
active power losses are reduced to 8.431 KW, 34.447KW, 50.192KW and minimum voltage profiles are
0.9863pu, 0.9720pu, 0.9661pu load levels respectively. . For 33 bus system without capacitor and DG the total
active power losses are 47.073KW,202.942KW, 301.508KW and minimum voltage profiles are
0.9582pu,0.9130pu,0.8938pu at 0.5,1,1.2 pu load levels respectively. After placement of capacitor and DG
active power losses are reduced to 18.363 KW, 75.139KW, 109.223KW and minimum voltage profiles are
0.9732pu, 0.9500pu, 0.9392pu load levels respectively. The above method can be tested by placing multiple
DGโ€Ÿs and can be extended to different standard radial distribution systems as future work.
References:
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[2]. P.A. Daly, J. Morrison, โ€œUnderstanding the potential benefits of distributed generation on power delivery systems,โ€ Rural Electric
Power Conference, 29 April โ€“ 1 May 2001, pp. A211โ€“ A213.
[3]. P. Chiradeja, R. Ramakumar, โ€œAn approach to quantify the technical benefits of distributed generationโ€ IEEE Trans Energy
Conversion,vol. 19, no. 4, pp. 764-773, 2004
[4]. P.P. Barker, R.W. de Mello, 2000. Determining the impact of distributed generation on power systems Part 1 - Radial distribution
systems. IEEE PES Summer Meeting, 3: 1645-1656.
[5]. N. Hadjsaid, J. F. Canard and F. Dumas, โ€œDispersed Generation Impact on Distribution Networks,โ€ IEEE Computer Application in
Power, Vol. 12, 1999, pp. 22-28. doi:10.1109/67.755642
[6]. J. V. Schmill, "Optimum Size and Location of Shunt Capacitors on Distribution Feeders," IEEE Transactions on Power Apparatus
and Systems, vol. 84, pp. 825-832, September 1965.
[7]. H. Dura "Optimum Number Size of Shunt Capacitors in Radial Distribution Feeders: A Dynamic Programming Approach", IEEE
Trans.Power Apparatus and Systems, Vol. 87, pp. 1769-1774, Sep 1968.
[8]. J. J. Grainger and S. H. Lee, โ€œOptimum Size and Location of Shunt Capacitors for Reduction of Losses on Distribution Feeders,โ€
IEEE Trans. on Power Apparatus and Systems, Vol. 100, No. 3, pp. 1105-1118, March 1981.
[9]. Sundharajan and A. Pahwa, โ€œOptimal selection of capacitors for radial distribution systems using genetic algorithm,โ€ IEEE Trans.
Power Systems, vol. 9, No.3, pp.1499-1507, Aug. 1994.
[10]. N. Mithulanathan, T. Oo and L. V. Phu. Distributed generator placement in power distribution system using Genetic Algorithm to
reduce losses. Thammasat International Journal on Science and Technology. 2004, 9 (3): 55-62.
Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ.
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[11]. Naresh Acharya, Pukar Mahat, N.Mithulanathan, โ€œAn analytical approach for DG allocation in primary distribution networkโ€,
Electric Power and Energy Systems, vol. 28, pp. 669-678, 2006.
[12]. R.M. Kamel and B. Karmanshahi. Optimal size and location of DGs for minimizing power losses in a primary distribution network.
Transaction on Computer Science and Electrical and Electronics Engineering. 2009, 16 (2): 137-144.
[13]. H. Khan and M.A. Choudhry. Implementation of distributed generation algorithm for performance enhancement of distribution
feeder under extreme load growth. International Journal of Electrical Power and Energy Systems.2010, 32 (9): 985-997.
[14]. Mozina, C.J., โ€œA Tutorial on the Impact of Distributed Generation (DG) on Distribution Systemsโ€, IEEE 61st Annual Conference
for Protective Relay Engineers, 1-3 April 2008.
[15]. V.H. Mendez and et.al., "Impact of Distributed Generation on Distribution Lossesโ€, Proceedings of the 3rd Mediterranean
Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion. Athens, Greece. 4-6
November 2002.
[16]. Francisco M. Gonzalez-Longatt, โ€œImpact of Distributed Generation over Power Losses on Distribution Systemโ€, 9th international
conference: Electric power quality and utilization, Barcelona 9-11 October 2007.
[17]. SivKumar Mishra, Debapriya Das, Subrata Paul, โ€œA Simple Algorithm for Distribution System Load Flow with Distributed
Generationโ€IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), May 09-11,
2014, Jaipur India.
[18]. D. Das, D.P. Kothari, A. Kalam, โ€œSimple and efficient method for load flow solution of radial distribution networks,โ€ Elec. Power
Energy Syst., Vol17, No.5, pp. 335โ€“346, 1995
[19]. T. Ramana, V. Ganesh, and S. Sivanagaraju,โ€ Simple and Fast Load Flow Solution for Electrical Power Distribution Systemsโ€
International Journal on Electrical Engineering and Informatics โ€ Volume 5, Number 3, September 2013.
[20]. J. Liu, M.M.A. Salama, R.R. Mansour, โ€œAn efficient power-flow algorithm for distribution systems with polynomial loadโ€, Int. J.
Elec. Eng. Edu., Vol.39, No.4, pp.372โ€“386, 2002.
Ameerunnisa Begum received the B.tech degree in Electrical and Electronics Engineering from Andhra Loyola
Institute of Engineering and Technology in 2013 and pursuing M.Tech in Power System
Control and Automation at Prasad V.Potluri Siddhartha Institute of Technology.Her research
includes Electrical Distribution Systems.
M.Ravi Kumar received the B.Tech and M.Tech degrees in Electrical and Electronics Engineering from the
university of JNTU Kakinada,Andhra Pradesh in 2006 and 2011 respectively.He is currently
working towards the Ph.D degree at JNTU Kakinada,Andhra Pradesh .Presently he is an
Assistant Professor of Electrical and Electronics Engineering at Prasad V. Potluri Siddhartha
Institute of Technology.His research interests are Integration of Renewable Energy in
Distribution systems,OptimizationTechniques,ElectricalCircuitAnalysis.

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A010430108

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 4 Ver. III (July โ€“ Aug. 2015), PP 01-08 www.iosrjournals.org DOI: 10.9790/1676-10430108 www.iosrjournals.org 1 | Page Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load Levels Using Matlab/Simulink Ameerunnisa Begum1 , M.Ravi Kumar 2 1 (EEE Department, Prasad V.Potluri Siddhartha Institute of Technology, A.P,India) 2 (Assistant Professor, EEE Department, Prasad V.Potluri Siddhartha Institute of Technology, A.P, India) Abstract: The proposed paper presents a simple methodology for active power loss minimization and it is carried through optimal placement and sizing of capacitor and Distributed Generation (DG).The placement of capacitor and DG is done through loss sensitivity factor which is one of the concepts in the field of distribution system and it is used to identify the potential nodes. In our proposed method we have considered a single capacitor and single DG for placement. After identifying the potential node, the capacitor sizing is done by calculating compensative reactive power (๐‘„๐‘) for different load levels. Next, the sizing of distributed generation is carried on by considering different penetration levels i.e., from 10% to 90% of the total system active power load at different load levels. So, finally we reach to a conclusion of loss minimization at some particular penetration level for different load levels. Thus, the reactive power compensation through capacitor and the active power injection from renewable Distributed Generation which is placed near to the load centres contributes for system voltage support and active power loss minimization. Nevertheless, the acceptable method also meet the necessities like reasonable speed, storage, highly authentic, assumed versatility and simplicity. Finally the proposed methodology is implemented through MATLAB/SIMULINK on 12, 15, 33 bus radial distribution system. Keywords: Active power loss, Capacitor and DG placement, Different load levels, Loss indices, Penetration levels, Radial Distribution System, Voltage profile improvement. I. Introduction One of the major troubles in the power industry is the day to day increase in power requirement but the inaccessibility of enough resources to meet the power demand using the conventional energy sources. Now-a- days renewable energy sources are the key to a sustainable energy supply as they are non polluting and low maintenance cost. Distributed Generation (DG) which comprises of several renewable resources, is a small power generation unit that can be connected instantly to distribution network or inside the adeptnessโ€Ÿs of the large consumers [1]. The loss reduction in distribution systems has accepted greater implication now-a-days as several studies described that at the distribution level mostly 13% of total generated power is desolated as losses . We have a numerous benefits from DG [2, 3] .Legion studies used various advances to assess the benefits from DGโ€Ÿs mostly concentrating on loss reduction, reduction of loading level. To achieve the benefits the DG should be authentic, dispel, of the proper sizing and at the proper placement [4, 5].so for the reduction of line loss of power system it is crucial to determine the size and placement of DG Also, capacitor is installed to improve the power factor and voltage profile, therefore to meet the mentioned objectives the optimal placement of and sizing of capacitor is essential. We have several optimization techniques and algorithms in the past for the optimal placement and sizing of capacitors.Schmill [6] proposed his most famous2/3 rule for the placement of only one capacitor. Duran et al [7] employed dynamic programming for capacitor placement and he considered the capacitor sizes as discrete variables. Grainger and Lee [8] employed a non linear programming method and the capacitor placement and sizing is expressed as continuous variables. Sundharajan and Pahwa [9] employed genetic algorithm approach for the placement of capacitor. All the proposed methods mentioned above employ capacitors as continuous variables but in general capacitors are available as discrete. We do have several approaches in the past for the optimal placement and sizing of renewable DG units.Chiradeja and Ramkumar [3] proposed a simple approach and indices for improvement of voltage profile, reduction of loss and reduction of environmental impacts by optimal placement and sizing of DG. Mithulanathan et al [10] proposed a genetic algorithm based approach for the reduction in real power loss by optimal placement of DG. .Naresh Acharya [11] has given a heuristic method for placement and sizing of DG to reduce the real power losses but it requires more computational attempts. Kamel and Karmanshahi [12] employed an algorithm for optimal placement and sizing of DG at any bus and found reduction in loss in the distribution system. Khan and Choudhry [13] employed an algorithm for voltage profile improvement and to minimize loss under arbitrarily distributed load conditions and with low power factor for unit as well as multiple DGโ€Ÿs. .In the several studies concerned to location and sizing of DG the loads are in general modelled as constant power loads or constant current loads, in our study we implemented a constant power load. DG penetration has a lot of underlying benefits to the existing
  • 2. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 2 | Page systems but also produces substantial challenges [14].When the DG is connected the way and the amount of power flow in the distribution network depends on several elements in addition to size, of DG, placement of DG, consumer need and the network structure etc.Hence the DG connection may increase or decrease the distribution loss depending on the mentioned elements. DG source which is an active voltage source may also contribute for the improvement of voltage profile at distribution side. Numerous analyses have been done in the literature survey [15, 16] to study the affect of DG penetration level on the distribution loss. Hence, in our proposed paper we have considered different penetration levels for the sizing of DG and employed the placement and sizing at different load levels. II. Theoritical Analysis An equivalent single phase feeder is considered for a balanced Radial Distribution Network is as follows and it represents the sending end bus and its voltage, receiving end bus and its voltage, feeder branch current and impedance of the branch. Fig1: An equivalent single phase feeder The loads of a distribution system that are connected to various buses are assumed to be constant power loads. Consider a bus-i where a constant power loads ๐‘†๐ฟ๐‘– =๐‘ƒ๐ฟ๐‘– +j๐‘„ ๐ฟ๐‘– has been connected and the equivalent current injection at bus i is represented as follows: Fig2: Equivalent current injection at bus i 2.1 PQ Model of DG: As DGs are generally smaller in size compared to conventional power sources the constant power model is sufficient for the analysis of distribution system also as they regulate power and power factor they are modelled as negative loads .The PQ model is as shown below: Fig3: Load models and DG as their power factor 2.2 Active power loss in a distribution system: The total active power loss ๐‘ƒ๐‘Ž in a distribution system having m number of branches can be obtained as follows: ๐‘ท ๐’‚๐’•= ๐‘ฐ๐’Š ๐Ÿ๐’Ž ๐’Š=๐ŸŽ ๐‘น๐’Š (1) Where, ๐ผ๐‘– is the magnitude of the branch current and ๐‘…๐‘– is the resistance of ๐‘– ๐‘กโ„Ž branch. 2.3 Identification of potential node for Capacitor and DG placement: The identification is done through power loss indices, the capacitor placement is performed by considering the active power loss indices by making the reactive power zero at each node or load one at a time. Similarly the DG placement is performed by considering the active power loss indices by making the active power zero at each node or load one at a time. So, finally the most sensitive node whose indices are โ€ž1โ€Ÿ is considered as the potential node for capacitor and DG placement and the same procedure is carried on for all the proposed buses. Thus after calculating the injected powers at each node by making the reactive and active power zeros each time the power loss indices(PLI) can be calculated as follows: PLI= (๐‹๐จ๐ฌ๐ฌ ๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐ข โˆ’๐Œ๐ข๐ง.๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง) (๐Œ๐š๐ฑ.๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐งโˆ’๐Œ๐ข๐ง .๐‘๐ž๐๐ฎ๐œ๐ญ๐ข๐จ๐ง) (2) Where, Loss Reduction[i] =๐‘ท ๐’ƒ๐’‚๐’”๐’† -๐‘ท(๐’Š) (3) ๐‘ƒ๐‘๐‘Ž๐‘ ๐‘’ is the base case active power power. ๐‘ƒ(๐‘–) is the active power loss obtained at each node by making reactive power zero for capacitor placement/active power zero for DG placement.
  • 3. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 3 | Page 2.4 Sizing of capacitor and DG: After the placement the sizing of capacitor is done initially by calculating ๐‘„๐‘ which is the required reactive power for compensation and it is obtained as follows: ๐‘ธ ๐’„=P (๐ญ๐š๐ง โˆ… ๐Ÿ-๐ญ๐š๐ง โˆ… ๐Ÿ) (4) โˆ… ๐Ÿ=๐œ๐จ๐ฌโˆ’๐Ÿ ๐‘ท ๐‘บ (5) S= ๐‘ท ๐Ÿ + ๐‘ธ ๐Ÿ (6) ๐‘ฟ ๐’„= ๐‘ฝ ๐Ÿ ๐‘ธ ๐’„ (7) C= ๐Ÿ ๐Ÿ๐…โˆ—๐’‡โˆ—๐‘ฟ ๐’„ (8) ๐‘„๐‘ is the required compensation in KVAR P is the active power injected including losses in KW Q is the reactive power injected including losses in KVAR cosโˆ…2 is the power factor to be maintained by the system, and in our paper it is chosen as 0.98 So, finally ๐‘„๐‘ is calculated in percentage and that percentage of total reactive power load is modelled as negative load at the identified potential node and the similar procedure is performed for different load levels for all the proposed buses for capacitor sizing. Considering capacitor sizing that is done previously for different load levels, here DG sizing is done by considering different penetration levels from 10% to 90% of the total active power load that to be placed at the most potential node obtained through PLI for DG placement. At some level it is observed that the losses are increased instead of decreasing even though there is an improvement in the voltage profile and that level can be concluded as the optimal placement for both the Capacitor and DG placement. III. Simulation Analysis 3. 1 12 bus RDS analysis: 3.1.1 Single line diagram for a 12 bus RDS: Test1 is performed on 12 bus system, the line and load data for IEEE 12 bus radial distribution system is available in [17]. Fig4: Single line diagram 3.1.2 Simulation diagram: Fig5: Implemented simulation diagram Table 1. Results of 12 bus system for different load levels at base case Different load levels Active power loss(KW) Minimum voltage profile(pu) 0.5 p.u 4.881 V(12)=0.9736 1 p.u 20.311 V(12)=0.9458 1.2 p.u 29.841 V(12)=0.9342 The base case results are compared with [17], through the loss sensitivity factor method the potential nodes for capacitor and DG placement is obtained as 8 and 11 respectively. The reactive power to be injected by capacitor and active power injected by DG can be considered as 77% and 50% of the total reactive power and active power of the system respectively at different load levels. V (*) represents minimum voltage is observed at that particular bus.
  • 4. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 4 | Page Table2.Distribution loss and voltage profile analysis using simulink with placement and sizing of capacitor and DG Different load levels Active power loss(KW) Voltage profile(pu) 0.5 p.u 0.989 V(5)=0.9964 1 p.u 3.764 V(6)=0.9926 1.2p.u 5.509 V(6)=0.9911 For a 12 bus system, at 0.5 pu load the active power loss is improved from 4.881KW to 0.989 KW and minimum voltage profile is improved from 0.9736 pu to 0.9964 pu at bus 5.Similarly, for 1 pu load the active power loss is improved from 20.311 kW to 3.764 KW and minimum voltage profile is improved from 0.9458 pu to 0.9926 pu at bus 6.Similarly, for 1.2 pu load, the active power loss is improved from 29.841KW to 5.509 KW and minimum voltage profile is improved from 0.9342 pu to 0.9911 pu at bus 6. Fig6: Voltage profiles & active power loss of 12 bus radial distribution system 3.2 15 bus RDS analysis: 3.2.1 Single line diagram for a 15 bus RDS: Test2 is performed on 15 bus system, the line and load data for IEEE 12 bus radial distribution system is available in [18]. Fig7: Single line diagram
  • 5. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 5 | Page 3.2.2 Simulation diagram: Fig8: Implemented simulation diagram Table 3. Results of 15 bus system for different load levels at base case Different load levels Active power loss (KW) Minimum voltage profile(pu) 0.5 p.u 14.795 V(13)=0.9719 1 p.u 62.020 V(13)=0.9424 1.2 p.u 91.214 V(13)=0.9300 The base case results are compared with [19], through the loss sensitivity factor method the potential nodes for capacitor and DG placement is obtained as 15 and 13 respectively. The reactive power to be injected by capacitor and active power injected by DG can be considered as 80% and 30% of the total reactive power and active power of the system respectively at different load levels. V (*) represents minimum voltage is observed at that particular bus. Table4.Distribution loss and voltage profile analysis using simulink with placement and sizing of capacitor and DG Different load levels Active power loss (KW) Voltage profile (pu) 0.5 p.u 8.431 V(7)=0.9863 1 p.u 34.447 V(7)=0.9720 1.2p.u 50.192 V(7)=0.9661 For a 15 bus system, at 0.5 pu load the active power loss is improved from 14.795 KW to 8.431 KW and minimum voltage profile is improved from 0.9719 pu to 0.9863 pu at bus 7.Similarly, for 1 pu load the active power loss is improved from 62.020 KW to 34.447 KW and minimum voltage profile is improved from 0.9424 pu to 0.9720 pu at bus 7.Similarly, for 1.2 pu load, the active power loss is improved from 91.214 KW to 50.192 KW and minimum voltage profile is improved from 0.9300 pu to 0.9661pu at bus 7. Fig9: Voltage profiles & active power loss of 15 bus radial distribution system
  • 6. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 6 | Page 3.3 33 bus RDS analysis: 3.3.1 Single line diagram for a 33 bus RDS: Test2 is performed on 15 bus system, the line and load data for IEEE 12 bus radial distribution system is available in [20]. Fig10: Single line diagram 3.3.2 Simulation diagram: Fig11: Implemented simulation diagram Table 5.Results of 33 bus system for different load levels at base case using simulink Different load levels Active power loss (KW) Minimum voltage profile (pu) 0.5 p.u 47.073 V(18)=0.9582 1 p.u 202.942 V(18)=0.9130 1.2 p.u 301.508 V(18)=0.8938 The base case results are compared with [19], through the loss sensitivity factor method the potential nodes for capacitor and DG placement is obtained as 30 and 32 respectively. The reactive power to be injected by capacitor and active power injected by DG can be considered as 67% and 40% of the total reactive power and active power of the system respectively at different load levels and for 0.5 pu load the DG is considered as 30%. V(*) represents minimum voltage is observed at that particular bus. Table 6. Distribution loss and voltage profile analysis using simulink with placement and sizing of capacitor and DG Different load levels Active power loss (KW) Voltage profile(pu) 0.5 p.u 18.363 V(18)=0.9732 1 p.u 75.139 V(18)=0.9500 1.2p.u 109.223 V(18)=0.9392 For a 33 bus system, at 0.5 pu load the active power loss is improved from 47.073 KW to 18.363 KW and minimum voltage profile is improved from 0.9582 pu to 0.9732 pu at bus 18.Similarly, for 1 pu load the active power loss is improved from 202.942 KW to 75.139 KW and minimum voltage profile is improved from 0.9130 pu to 0.9500 pu at bus 18.Similarly,for 1.2 pu load, the active power loss is improved from 301.508 KW to 109.223KW and minimum voltage profile is improved from 0.8938 pu to 0.9392 pu at bus 18.
  • 7. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 7 | Page Fig12: Voltage profiles & active power loss of 33 bus radial distribution system IV. Conclusion In this paper a simulink model is constructed ,with this methodology for 12 bus system without capacitor and DG the total active power losses are 4.881KW, 20.311KW, 29.841KW and minimum voltage profiles are 0.9736pu, 0.9458pu, 0.9342pu at 0.5, 1, 1.2 pu load levels respectively. After placement of capacitor and DG active power losses are reduced to 0.989 KW,3.764KW,5.509KW and minimum voltage profiles are 0.9964pu,0.9926pu,0.9911pu load levels respectively. For 15 bus system without capacitor and DG the total active power losses are 14.795KW,62.020KW, 91.214KW and minimum voltage profiles are 0.9719pu,0.9424pu,0.9300pu at 0.5,1,1.2 pu load levels respectively. After placement of capacitor and DG active power losses are reduced to 8.431 KW, 34.447KW, 50.192KW and minimum voltage profiles are 0.9863pu, 0.9720pu, 0.9661pu load levels respectively. . For 33 bus system without capacitor and DG the total active power losses are 47.073KW,202.942KW, 301.508KW and minimum voltage profiles are 0.9582pu,0.9130pu,0.8938pu at 0.5,1,1.2 pu load levels respectively. After placement of capacitor and DG active power losses are reduced to 18.363 KW, 75.139KW, 109.223KW and minimum voltage profiles are 0.9732pu, 0.9500pu, 0.9392pu load levels respectively. The above method can be tested by placing multiple DGโ€Ÿs and can be extended to different standard radial distribution systems as future work. References: [1]. T. Ackermann, G. Anderson, L. Sรถder, โ€œDistributed Generation: a Definitionโ€, Electric Power System Research 57, 2001, pp.195- 204. [2]. P.A. Daly, J. Morrison, โ€œUnderstanding the potential benefits of distributed generation on power delivery systems,โ€ Rural Electric Power Conference, 29 April โ€“ 1 May 2001, pp. A211โ€“ A213. [3]. P. Chiradeja, R. Ramakumar, โ€œAn approach to quantify the technical benefits of distributed generationโ€ IEEE Trans Energy Conversion,vol. 19, no. 4, pp. 764-773, 2004 [4]. P.P. Barker, R.W. de Mello, 2000. Determining the impact of distributed generation on power systems Part 1 - Radial distribution systems. IEEE PES Summer Meeting, 3: 1645-1656. [5]. N. Hadjsaid, J. F. Canard and F. Dumas, โ€œDispersed Generation Impact on Distribution Networks,โ€ IEEE Computer Application in Power, Vol. 12, 1999, pp. 22-28. doi:10.1109/67.755642 [6]. J. V. Schmill, "Optimum Size and Location of Shunt Capacitors on Distribution Feeders," IEEE Transactions on Power Apparatus and Systems, vol. 84, pp. 825-832, September 1965. [7]. H. Dura "Optimum Number Size of Shunt Capacitors in Radial Distribution Feeders: A Dynamic Programming Approach", IEEE Trans.Power Apparatus and Systems, Vol. 87, pp. 1769-1774, Sep 1968. [8]. J. J. Grainger and S. H. Lee, โ€œOptimum Size and Location of Shunt Capacitors for Reduction of Losses on Distribution Feeders,โ€ IEEE Trans. on Power Apparatus and Systems, Vol. 100, No. 3, pp. 1105-1118, March 1981. [9]. Sundharajan and A. Pahwa, โ€œOptimal selection of capacitors for radial distribution systems using genetic algorithm,โ€ IEEE Trans. Power Systems, vol. 9, No.3, pp.1499-1507, Aug. 1994. [10]. N. Mithulanathan, T. Oo and L. V. Phu. Distributed generator placement in power distribution system using Genetic Algorithm to reduce losses. Thammasat International Journal on Science and Technology. 2004, 9 (3): 55-62.
  • 8. Placement and Sizing of Capacitor and Renewable DG for Loss Minimization at Different Load โ€ฆ. DOI: 10.9790/1676-10430108 www.iosrjournals.org 8 | Page [11]. Naresh Acharya, Pukar Mahat, N.Mithulanathan, โ€œAn analytical approach for DG allocation in primary distribution networkโ€, Electric Power and Energy Systems, vol. 28, pp. 669-678, 2006. [12]. R.M. Kamel and B. Karmanshahi. Optimal size and location of DGs for minimizing power losses in a primary distribution network. Transaction on Computer Science and Electrical and Electronics Engineering. 2009, 16 (2): 137-144. [13]. H. Khan and M.A. Choudhry. Implementation of distributed generation algorithm for performance enhancement of distribution feeder under extreme load growth. International Journal of Electrical Power and Energy Systems.2010, 32 (9): 985-997. [14]. Mozina, C.J., โ€œA Tutorial on the Impact of Distributed Generation (DG) on Distribution Systemsโ€, IEEE 61st Annual Conference for Protective Relay Engineers, 1-3 April 2008. [15]. V.H. Mendez and et.al., "Impact of Distributed Generation on Distribution Lossesโ€, Proceedings of the 3rd Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion. Athens, Greece. 4-6 November 2002. [16]. Francisco M. Gonzalez-Longatt, โ€œImpact of Distributed Generation over Power Losses on Distribution Systemโ€, 9th international conference: Electric power quality and utilization, Barcelona 9-11 October 2007. [17]. SivKumar Mishra, Debapriya Das, Subrata Paul, โ€œA Simple Algorithm for Distribution System Load Flow with Distributed Generationโ€IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), May 09-11, 2014, Jaipur India. [18]. D. Das, D.P. Kothari, A. Kalam, โ€œSimple and efficient method for load flow solution of radial distribution networks,โ€ Elec. Power Energy Syst., Vol17, No.5, pp. 335โ€“346, 1995 [19]. T. Ramana, V. Ganesh, and S. Sivanagaraju,โ€ Simple and Fast Load Flow Solution for Electrical Power Distribution Systemsโ€ International Journal on Electrical Engineering and Informatics โ€ Volume 5, Number 3, September 2013. [20]. J. Liu, M.M.A. Salama, R.R. Mansour, โ€œAn efficient power-flow algorithm for distribution systems with polynomial loadโ€, Int. J. Elec. Eng. Edu., Vol.39, No.4, pp.372โ€“386, 2002. Ameerunnisa Begum received the B.tech degree in Electrical and Electronics Engineering from Andhra Loyola Institute of Engineering and Technology in 2013 and pursuing M.Tech in Power System Control and Automation at Prasad V.Potluri Siddhartha Institute of Technology.Her research includes Electrical Distribution Systems. M.Ravi Kumar received the B.Tech and M.Tech degrees in Electrical and Electronics Engineering from the university of JNTU Kakinada,Andhra Pradesh in 2006 and 2011 respectively.He is currently working towards the Ph.D degree at JNTU Kakinada,Andhra Pradesh .Presently he is an Assistant Professor of Electrical and Electronics Engineering at Prasad V. Potluri Siddhartha Institute of Technology.His research interests are Integration of Renewable Energy in Distribution systems,OptimizationTechniques,ElectricalCircuitAnalysis.