K010418290

IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 4 Ver. I (July – Aug. 2015), PP 82-90
www.iosrjournals.org
DOI: 10.9790/1676-10418290 www.iosrjournals.org 82 | Page
Allocation of Reactive Power Compensation Devices to Improve
Voltage Profile Using Reactive Participation Index
Antamil, Ardiaty Arief and Indar Chaerah Gunadin
Department of Electrical Engineering, UniversitasHasanuddin, Indonesia
Abstract: This study proposed new method of improving voltage profile utilizing addition of inversed reduced
Jacobian matrix elements vertically with the aim of determining location of reactive power compensation
installation.This method is tested using actual network in Indonesia. In this analysis, enhancement of power
system stability includes of voltage improvement and increase in stability index. By using this proposed method
several buses appear as an ideal place for installation of capacitors. The results are also compared to different
configuration to validate and demonstrate the effectiveness of the method.
Keywords – voltage profile, voltage stability, voltage collapse, modal analysis, steady-state analysis, reactive
power compensations, reactive participation index.
I. INTRODUCTION
Power system stability has been considered as a main requisitefor a safe and trustworthy process in a
power system for over ninety years[1-3]. Voltage stability is a common problem that occurs anywhere in the
world.Nowadays, electrical systems are thoroughly stressed and running at the stability limit with smaller
capacity and margin [4] hence may cause congestion problems [5, 6]. This occurs due to the small and large
disturbances that affect the stability of operation.In addition, increasein active and reactive power also
contributes to the decrease in the voltage. Voltage dropdue to uncontrolled reactive power can lead the system to
collapse.
As the system are getting stressed,it is necessary for an evaluation of the weak point where potential
instability occurs, so that preventive action can be taken earlier and to avoid cascading failures. As it is well
known, that voltage problem has resilient relation with reactive power injections. To find out the weak points in
a system, there are several algorithms in the growing literature. One of the advanced method developed is Modal
Analysis by [7]. In this technique,relationship between voltage (V) and reactive power (Q) is used to exploit the
most contributed bus to system instability.The system is voltage stable, if the injection of reactive power
increases and at the same time voltage magnitude also increases. The system is voltage unstable if at the same
time reactive power increased and the voltage magnitude decreases[7, 8].
To overcome the voltage drop as described above, it is required compensation equipment to maintain
the voltage magnitude remains at the desired level. There are many type of reactive compensation devices, such
as: capacitor banks, static Var compensator (SVC) or static compensator (STATCOM). These reactive
compensation devices have imperative function in improving voltage stability. Capacitor banks is one of the
foremost and commonly used reactive compensators equipment. Capacitors have a very important role in the
power system network because apart from being usedas reactive power compensation device, it can help to
increase active power delivery and reduce transmission losses[9-15], therefore overall it can improve voltage
profile of the system. However, installation of capacitor banks should be at the right buses so it can perform
effectively.
Various methods have been developed for placement of capacitor. References [16, 17] create Loss
Sensitivity Factor to find capacitor placement location. Artificial bee colony algorithm is applied for capacitor
allocation in [18]. Paper [19] designs two-stage approach using fuzzy logic and bat algorithm to determine
location and size of capacitor. Authors in[20] propose opposition based differential evolution algorithm for
reconfiguration and capacitor placement. However, these works only focus on the network losses reduction. In
[21], fast decoupled method was employed to determine size for capacitor, but this work only assesses the
voltage improvement, not the network losses. Nonetheless, the appropriate location and size of capacitor can
reduce both network losses as well as enhance voltage stability.
It is essential to develop an effective method that able to confirm both voltage stability of the system
and location to improve the stability.This study enhances modal analysis technique for the effective placement
of capacitor banks. Modal analysis is an analytic solutions approach that can give information about the voltage
stability in a complex power system. In this work, the element of inversed reduced Jacobian matrix is added
vertically to compute Reactive Participation Index (RPI). RPI informs about participation of a specific bus in
improving voltage magnitude at critical buses based on its reactive power injection. The bus with the biggest
RPI has the biggest influence in enhancing voltage profile after injected reactive power hence it is chosen as the

Allocation of Reactive Power Compensation Devices to Improve Voltage Profile Using Reactive
location of capacitor banks placement. This method is simple but accurate and do not need complicated
computational processes.
This paper consist of five parts. Part 1 is introduction, Part 2 isthe breakdown of modal analysis
approach and development of participation factor, Part 3describes method proposed, Part 4 informs about the
South Sulawesi interconnected system in Indonesia as the case study, Part 5 presentsresearch data, results
analysis, and validation,Part 6 is the final conclusion and closing of this research.
II. BREAKDOWN OF MODAL ANALYSIS APPROACH TO COMPUTE REACTIVE PARTICIPATION
INDEX (RPI)
To evaluate the system stability, it often requires extensive and in-depth examination of the condition
of the system. Therefore linearized steady state analysis is used to see the problems that exist on the voltage and
reactive power.
∆P
∆Q
=
JPθ JPV
JQθ JQV
∆Q
∆V
(1)
Where :
P = Incremental change in bus real power
Q = Incremental change in bus reactive power injection
 = Incremental change in bus voltage angle
V = Incremental change in bus voltage magnitude
The stability of the power system is influenced by P & Q factors. However, for voltage stability
analysis purpose, it is necessary to note relationship between V and Q. For that purpose P is considered constant
at all node, hence change of active power is considered 0 (zero), hence,
0
∆Q
=
JPθ JPV
JQθ JQV
∆θ
∆V
Then obtained,
∆Q = JQV − JQθJPθ
−1
JPθ ∆V (2)
Then,
∆Q = JR ∆V
∆V = JR
−1
∆Q (3)
Where,
JR = JQV − JQθJPθ
−1
JPθ
JR is the reduced Jacobian matrix. This matrix make a discern between P,Q and V so it is easier to
perform voltage stability analysis.This approach computationally efficient rather than performing full Jacobian
matrix. This JR demonstrate direct relationship between reactive power injection and voltage magnitude for each
buses. Each buses which most contributed to the voltage instability can be obtained by extracting reactive
participation index from JR
-1
. To see voltage changes on each buses, equation 3 is formed in matrix, hence,
∆V1
∆V2
⋮
∆Vm
=
℘11 ℘12 ⋯ ℘1n
℘21
⋮
℘22 ⋯
⋮ ⋱
℘2n
⋮
℘m1 ℘m2 ⋯ ℘mn
−1
∆Q1
∆Q2
⋮
∆Qm
(4)
To obtain the best location among weak buses then elements of inversed JR are summed up vertically.
The highest reactive participation index is ideal for capacitor placement. Every voltage changes in each buses
depend on multiplication between elements of inversed JR and Q. Reactive participation index (RPI) can be
used to determine which buses is the most ideal for capacitor placement, which is formulated as,

℘11 ℘12 ⋯ ℘1n
℘21
⋮
℘22 ⋯
⋮ ⋱
℘2n
⋮
℘m 1 ℘m 2 ⋯ ℘mn
RPI 1 RPI 2 ⋯ RPI n
+ (5)
Eigenvalue of reduced Jacobianmatrix is used to portray how close the system to instability. As the
system becomes more stressed, eigenvalue will become smaller.The smaller the eigenvalue is, the closer the
system to instability. When minimum eigenvalue is equal to zero, then system is collapse since it undergoes
infinite changes for reactive power changes. The formula for eigenvalue is as follow:
 = Eigen [JR] (6)
III. PROPOSED METHOD FOR FINDING IDEAL BUSES
Figure 1 shows the flowchart of the proposed method. To perform this research new method is
developed using new technique of finding ideal buses for capacitor placement as described in Part II.
Figure 1. Flowchart of reactive participation index method for placement of capacitors
Figure 1 shows process of improving voltage profile of the system. When all of the area of the system
is 0.95<V<1.05 pu, then the process is stop. Stability of system is measure by extracting eigenvalue.
IV. THE TEST SYSTEM: THE SOUTH SULAWESI SYSTEM IN INDONESIA
The proposed method is simulated at a real large power system in Indonesia, the South Sulawesi System.
This section gives a brief review on the case study system.
South Sulawesi is located in the center of Indonesia and it is an interconnected system comprises of many
different power generations which are associated by transmission lines of 150 kV, 70 kV and 30 kV. This system
has unique attribute where the main cost-effective power generation centers are located in the northern part of the
system, whereas the predominant load center is located in the southern part. Figure 2 shows the interconnected
system of South Sulawesi. The total power generations in the northern part of the system is around 559 MW with
details as follow [22] :
 Bakaru hydro power plant (PLTA Bakaru) 127.7 MW
 Suppa diesel power plant (PLTD Suppa) 62.2 MW
 Sengkang steam and gas power plant (PLTGU Sengkang) 320 MW
 Barru steam power plant (PLTU Barru) 50 MW
Whereas total generation in the southern part is 444 MW from:
 Tello power plants (gas, steam and diesel) 169 MW
 BiliBili hydro power plant 20 MW
 Sewatama diesel power plant 15 MW
Start
End
Data
Power Flow
Voltage
Stability Limit
Stability Level
New Reactive
Participation Index
Setup Compensation
Device
Yes No

 Jeneponto steam power plant 240 MW
with total load of the system is around 860 MW.
Figure 2. The South Sulawesi interconnected power system, Indonesia [23]
V. RESULTS AND ANALYSIS
The simulation uses data from the Indonesian state electricity company (PT. PLN) as of 11 November
2014). Figure 3 shows initial voltage profile condition of the system. There are several under voltage stability
buses which potentially lead the system to voltage collapse. Table 1 below shows the unstable buses with their
voltages.
Figure 3. Voltage profile of Sulsel system at peakload [23]
0.9
0.92
0.94
0.96
0.98
1
1.02
1.04
1.06
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
VoltageMagnitude(pu)
Bus
Voltate Stability Limit
Lower Limit 0.95 pu
Upper Limit 1.05 pu

Table 1. Under voltage buses
Buses /Substations Voltage Magnitude (pu)
12/Pangkep(150) 0.934
13/Bosowa 0.925
14/Kima 0.931
17/Mandai 0.935
18/Daya 0.933
19/Tello(150) 0.932
20/Tello(70) 0.932
21/Tallo Lama(150) 0.932
26/Tallo Lama(70) 0.94
27/TanjungBunga 0.937
28/Panakkukang 0.931
In order to find ideal buses for capacitor banks then the reactive participation index (RPI) at all load
buses are calculated. At the first iteration, bus 14 (Kima) has the highest RPI, hence this bus is selected as the
location for reactive power injection. For the first time, the injection is 10 MVar and this is repeated until the
highest value of RPI changes to other bus. For optimal size of capacitors found for bus 14 (Kima) is 80 MVar.
Then at the next process, bus 13 (Bosowa) has the biggest RPI, and chosen as location for the second reactive
power injection. The optimal size for capacitors at this bus is 50 MVar. Figure 4 shows the RPI value for every
steps in determining location for reactive power injection, which is concluded in Table 2. There are totally of
210 MVar reactive compensation injections needed to bring the system back to the stability limit. Figure 5
shows the voltage profile of the system before and after capacitor banks placement. All voltage at all buses are
between the stability limit. Network losses around 24.251 MW and reactive losses 29.869 MW.
Figure 4. Reactive Participation Index of each load buses
Table 2. Buses, Size and Number of Capacitor based on proposed method
Bus No. Substations Injected MVar
13 Bosowa 50
14 Kima 80
17 Mandai 60
20 Tello 20
Total 210
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
ReactiveParticipationIndex
Bus
1st Iteration
2nd Iteration
3rd Iteration
4th Iteration

Figure 5. Voltage profile shows an improvement after capacitor installation
Figure 6 and 7 show the increase of eigenvalue for every iterations and comparison of eigenvalue
before and after reactive power injection, respectively. As can be seen in Figure 6, there is an improvement in
stability in every iteration. Eigenvalue increases from 1.7379 to 1.753. Eigenvalue at initial state 1.7096 and
potentially increase to 1.753 if 210 MVar of capacitor banks are injected to the system. This informs that the
system is more stable after the injection of reactive power.
Figure 6. Increase eigenvalue in each iteration
Figure 7. Eigenvalue of initial and proposed capacitor installation
0.9
0.92
0.94
0.96
0.98
1
1.02
1.04
1.06
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
Bus
Limit (0.95<V1.05 pu)

To evaluatethe robustness of proposed method above, this results are compared using 3 different
configurations. 1st
configuration using same capacity of capacitor but divided by 4 evenly at all buses with high
RPI which is as shown below,
Table 3. Placement and size of MVar injection for 1st
configuration
Bus No. Injected Mvar
Bus 13 52.5
Bus 14 52.5
Bus 17 52.5
Bus 20 52.5
Total 210
Figure 8 shows the voltage profile of the system after the injection of capacitors based on Table 3.
Eventhough with the same total injection of 210 MVar, but there are still several buses with under voltage
condition. Buses 21, 27 and 28 are still under stability limit (<0.95 pu) and minimum eigenvalue is achieved
only 1.7453. This configuration generate losses of active power around 24.756 MW and reactive power 30.827
MVar. This means dividing the MVar injection into 4 equal size is no better than the proposed method which is
present lower nework losses
Figure 8. Voltage profile of 1st
configuration
2nd
configuration using same size of capacitor, but total 210 MVar are injected at one single bus. In this
configuration, the simulations are done by injecting 210 MVar at each of these buses: 13, 14, 17, and 20
separetely, and test is performed one by one. Figure 9 shows voltage profile of the system if 210 MVar capacitor
installed. None of the voltage profile based on these placement meet voltage stability required for the system.
Table 4 presents the eigenvalue and network losses of 2nd
configuration. The lowest losses can be achieved in
this configuration is installation at bus 14 but still higher than proposed method.
Figure 9. Voltage profile 2nd
configuration.
0.9
0.95
1
1.05
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
Bus
Voltage Stability Limit
Pu
Upper limit
0.9
0.92
0.94
0.96
0.98
1
1.02
1.04
1.06
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
Bus 14 Bus 13 Bus 17 Bus 20
Bus

Table 4. Eigenvalue and network losses 2nd
configuration
Bus No. Eigenvalue
Network Losses
MW MVar
14 1.7791 24.366 34.009
13 1.7562 24.869 34.967
17 1.7193 31.417 47.117
20 1.7184 28.876 41.766
3rd
Configuration using buses with small RPI of the proposed method and using the same size of
capacitors. Bus 1, 4, 6 and 9 are chosen, since they have small RPI. Each of them are injected 52.5 MVar.
Figure 10 shows the voltage profile of the South Sulawesi system after the injection of capacitors based on 3rd
configuration. As can be seen, misplacement of capacitor injection can also increase voltage higher than 1.05
pu, which cause over voltages. Improper placement of these capacitor can lead system out of voltage stability
limit which degrade system quality. Eigenvalue obtained is 1.7099. Losses of active power and reactive power
are 23.021 MW and 32.687 MVar, respectively. This configuration generate higher reactive power losses and
lower stability than proposed method.
Figure 10. Voltage profile of 3rd
configuration
VI. CONCLUSIONS
Conclusions that can be taken from this research are:
1. Based on simulation results, before capacitors installation at peak load, some areas are under voltage and
this condition potentially interfere system stability. These bus are buses 12 13, 14, 17, 18, 19, 20, 21, 26,
27 and 28. 4 Based on proposed method bus 14, 13, 17 and 20 are the best buses for reactive power
injection.
2. By using reactive participation index, it is successfully choose the right buses for capacitors placement to
improve voltage profile compared to 3 other configurations.
3. Method used in this paper demonstrates its strength to overcome problem in voltage stability. By using the
method, voltage profile improved with minimum injection of capacitor in size and number. Voltage profile
is align in 0.95<V<1.05 pu.
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0.9
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1
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