7/29/2019 Compensator Optimization using Genetic Algorithm for the Improvement of Voltage Quality in Power System of su

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In this moment, electric power system consisting of multiple machines,

which are interconnected, and covers a vast area of the bus load with various

types of load characteristics vary, it is positioned power system conditions are

complex and complicated. If there is a change of operational conditions

increased burden affected the magnitude of the voltage instability that can not

be controlled, it will influence the performance of power system stability as a

whole. The solution to restore the system voltage magnitude at steady state

conditions necessary auxiliary equipment (compensator) such as:

1.FACTS Device.

2.Under-Load Tap Charging (ULTC) Transformer.

3.Generator

Voltage collapse is the change in voltage due to decline in value is inductive

loading at a feeder that can spread to other feeder, also caused by a long channelwhich in turn is followed by rapid decline in value and the same voltage that

can lead to extinction (black out) in an area electric power systeminterconnection. Determination of Static VAR Compensator placement locations

(SVC) as well as its capacity to prevent voltage collapse can use methods ofGenetic Algorithm (GA). Simulation results show that there were improvements

after installing the SVC voltage quality to the limits of tolerance. The servicevoltage variation is allowed for, maximum and minimum +5% -10% of itsnominal voltage according to standard SPLN [2].

Methods

Conclusions

Compensator Optimization using Genetic

Algorithm for the Improvement of Voltage Quality

in Power System of substation TurenChandra Wiharya, SST.

UNIVERSITY OF BRAWIJAYAAddress: Veteran 17 Malang 65145 Phone: +62-341-571142 Fax: +62-341-571142

Author

The Flexible AC Transmission Systems (FACTS) Device has been widelyused as control devices to improve power transfer capability of transmission

systems. One of the FACTS devices are Static VAR Compensator (SVC) whichhas been implemented in the electricity transmission network since the mid 70's.

SVC serves as maintainer stability conditions (steady state) and dynamicvoltage within prescribed limits on transmission network and the Heavilyloaded. The first demonstration held in 1978 SVC installation at 115kV

transmission network Minnesota Power & Light and has managed to showimprovement and voltage stabilization control in the transmission network[8].

In this thesis method is used Genetic Algorithm (GA) which can be analternative to placement in the SVC on Power System of substation Turenoptimally. GA is used to determine the exact location of the SVC and optimal in

minimizing losses in transamisi line, and reduce the voltage deviation intransmission to obtain the optimal voltage profile, so the quality of a good

power system can be achieved.

1.Chandra Wiharya, SST. master program students from University of

Brawijaya, 2009. Majoring in Electrical Power System

We wish to thank Sonny Prayogi, ST. and Safrizal, master programstudents from surabaya technology institute for their tesis during theprogress of this research

Figure 3. To simulate the location of SVC placement optimizationusing GA method used MATLAB 7.0.4 software.

After performing the simulation and analysis of simulation results show thatthe choice of location SVC (Static VAR Compensator) for voltage quality

improvement using Genetic Algorithm (GA) is implemented on the system inTuren substation at bus 20 kV can be summarized as follows:

1. Based on the best analysis of SVC Installation located at bus 1, (can beseen at table 4)

2. The result of the installation of SVC is to increase the voltage at bus 1 from

17.7 kV to 19.8 kV, and at bus 2 from 17.8 kV to 19.8 kV, and at bus 3 ofthe 16.8 kV to 20.1 kV

3. Increasing voltage on the feeder. Pindad 2 from 17.7 kV to 19.8 kV, goingfrom 17.3 kV to 19.8 kV, Dampit from 17.1 kV to 19.5 kV, Bantur from

17.2 kV to 19.7 kV, from 16 Tirtoyudo , 8 kV to 19.3 kV, Wajak from 17.3

kV to 19.8 kV, Source Manjing from 16.8 kV to 19.2 kV, Gondang Legifrom 15.9 kV to 19.1 kV, Bokor than 15 , 6 kV to 19.8 kV.

4. Quality improvement resources due to power injection from the SVCinstallation at bus 1 as shown in table 4.5. The increase in power quality

can increase the ability of service quality to customer load.

Introduction

Result

Figure 1. Genetic Algorithm Searched Process

Flowchart using Mathlab

Figure 2. Troubleshooting Flowchart Using PSCAD

Software

In this study, the authors used data from the PT. PLN (Persero) Turen

substation 20 kV system consists of 3 buses and 10 feeders. Observationaldata before the installation of SCV are as follows:

Bus 20 kV V (kV)Bus 1 17.7Bus 2 17.3Bus 3 16.8

Based on the simulation results using MATLAB program with the GA method(Figure 3) is derived that the optimal placement location within theinstallation of SVCs in Turen system substation is located on Bus 1. The

results of simulation using MATLAB programs applied back into the PSCADprogram, which is mounting a series of SVC at bus 1 and obtained the

following results:

Name Voltage (kV)Before After

Bus 20 kV :Bus 1 17.7 19.8Bus 2 17.3 19.8Bus 3 16.8 20.1Feeder of 20 kV :Pindad 2 17.7 19.785Bakalan 17.3 19.804Dampit 17.1 19.547Bantur 17.2 19.707Tirtoyudo 16.8 19.720Wajak 17.3 19.821Sb Manjing 16.8 19.248Gd Legi 15.9 19.069Bokor 15.6 19.822

Name Voltage (kV)Bus 1 Bus 2 Bus 3

Bus 20 kV :Bus 1 19.8 20.0 20.2Bus 2 19.8 19.2 19.4Bus 3 20.1 19.5 18.1Feeder of 20 kV :Pindad 2 19.785 20.029 20.193Bakalan 19.804 19.216 19.407Dampit 19.547 18.969 19.157Bantur 19.707 19.126 19.329Tirtoyudo 19.720 18.701 18.900Wajak 19.821 19.233 19.416Sb Manjing 19.248 18.680 18.877Gd Legi 19.069 18.537 17.235Bokor 19.822 19.269 17.919

Table 3. Comparison of Voltage Before and After Installation of SVCs On the Bus 1,

Table 4. The difference results SVC Voltage After Installation On each bus.

Table 3. Table 4.

Table 1.

Table 2.

Feeders of 20 kV Primary Distribution System (kV)Pindad 2 17,7Bakalan 17,3Dampit 17,1Bantur 17,2

Tirtoyudo 16,8Wajak 17,3

Sb Manjing 16,8Gd Legi 15,9Bokor 15,6

RecommendationPower system in Indonesia, particularly in Malang areas, is still very necessary

to improve the quality of electric power as described in this study. Namely theuse of SVC (Static VAR Compensator) to improve the system performance forthe quality of voltage that is used by customers guaranteed reliability.

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