Modeling control of automatic voltage regulator with proportional integral derivative

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 04 Issue: 09 | September -2015, Available @ http://www.ijret.org 241
MODELING CONTROL OF AUTOMATIC VOLTAGE REGULATOR
WITH PROPORTIONAL INTEGRAL DERIVATIVE
Hestikah Eirene Patoding1
, Eodia T. Lobo2
, Matius Sau3
1
, Electrical Engineering, Paulus Chrystian University of Indonesia, Makassar, Indonesia
2
3
Abstract
The Automatic Voltage Regulator (AVR) cannot respond generator output voltage quickly resulting in drop voltage and can be
affected to the electrical system. AVR controller simulation model created in power system based on real data from National
Electricity Company (PLN) ( Tello Power Plant Makassar case). AVR controller response time under normal conditions has the
oscillation time of about 9 seconds and response time when loaded is about 15 seconds. Resulting unstable voltage in the system
follows load changes. With the addition of Proportional Integral Derivative (PID) controllers acquired a controlling response
time to changing loads faster and system voltage will change the voltage stability limit of ± 5% of nominal voltage. AVR
controller with PID is very suitable for controlling the voltage of power generation system due to changes in load.
Key Words: Automatic Voltage Regulator, Proportional Integral Derivative
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1. INTRODUCTION
The automatic control is needed in operations in the industry
to handle the pressure, temperature, humidity, viscosity,
flow production process, working with machine tools,
handling and assembly of mechanical parts in manufacturing
industry, and so on. Advances in the theory and practice of
automatic control facilitates in obtaining performance of
dynamic systems, elevate the quality and reduce production
costs, heightens production rate, reduce routine tasks and
tedious to be done by humans, and so on.
The operation of electric power systems, load changes and
abnormal conditions cause changes in the frequency and
scheduling of power in every area. Such changes, resulting
in changes in the amount of voltage (voltage magnitude). It
can be fatal in a system, if there is additional reactive power
load for the generator terminal voltage will drop. To
overcome this use the generator excitation control using
AVR. The AVR quickly response in the event of disruption
or change in system load [5].
When the generator is operated (at a frequency of 50 Hz)
with a fixed output voltage magnitude), it will be spinning at
a relatively constant speed. However, the rotation speed of
the generator is affected by the load, when the load
increases, the speed will drop, and vice versa. If the
generator is intended to operate at a constant speed when
load is changed, we need a controller to adjust the input
frequency. Changes in the frequency of the system can
occur due to load shedding, for the case Sulselbar Systems
[9].
So that will be needed to research and analysis on the
fluctuating load changes. Changing the rotation generator
resulting voltage fluctuations in the bus system. Therefore,
this study will make and analyze a model to regulate the
speed of the generator rotation, so that the voltage in the
system can be managed in a stable condition correspond to
existing limitations.
1.1 Controller System [3]
Operation of energy systems is growing rapidly at this time
both in science and technology as well as in the industrial
world. These developments felt also the supplier of
electrical power (PLN) to regulate its supply to the load.
This can be seen with the use of well control equipment in
the generation, substation or distribution substation.
Control equipment for the generation are usually used to
regulate the supply of active and reactive power. Load
changes occur very influential on changes in the frequency
and voltage. Rise and fall of frequency dependent active
power changes, so does the voltage depending on changes in
reactive power. This situation opens the mind to the
engineers particularly in the field of power systems to find a
solution. One of the solutions in managing change in
reactive power load in order to use AVR generator voltage
stays constant, however, can not regulate steady-state error
due to the dynamic response, because it takes control device
that is capable of eliminating the steady state error is
controlling Proportional, Integral and Derivative (PID
controller)
1.2 Automatic Voltages Regulator (Avr) [5]
The rules of AVR is to maintain the generator terminal
voltage magnitudes at the specified level. AVR system
consists of four (4) main components there are amplifier,
exciter, generator and sensors. The mathematical model and
transfer functions can be to linear taking into account the
time constant and ignoring saturation or other nonlinear.
There are can be shown in Fig-1.

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+
-
Stabilizer
Amplifier
Rectifier
Vref
Exciter
Ve
PT
G
- -
+
Fig-1: General Model of AVR [4]
Amplifier Model [5]
Amplifier models expressed by a gain with KA symbol and
time constant with A symbol. Transfer function is:
s
K
sVe
sVR
A
A


1)(
)(
………(1)
with: Value of KA ranged from 10 to 400
Time constant A ranged 0,02 to 0,1 seconds
Exciter Model [5]
The transfer function of a modern exciter can be expressed
by a gain with KE symbol and single time constant with E
symbol, then the transfer function is:
s
K
sVR
sVF
E
E


1)(
)(
…………(2)
with : Value of KE range 10 to 400
Time constant E between 0,5 to 1 second
Generator Model [5]
In a linearized form, the relationship transfer function of
voltage terminal generator with voltage field can be
expressed by a gain (KG) and time constant (G). The
transfer function is :
s
K
sVF
sVt
G
G


1)(
)(
…… (3)
This constant depends on the load, can be vary ranged from
0,7 to 1.0 and ranged 1,0 to 2,0 from full load to zero load.
Sensor Model [5]
Sensor are modeled with a simple first order transfer
function, written by:
s
K
sVt
sVs
R
R


1)(
)(
………… (4)
with: Value of R ranged from 0,001 to 0, 06 second.
1.3 Pid Controller [5]
Proportional Integral Derivative (PID) controller is a
combination controller of the Proportional, Integral and
Derivative. Each combination has advantages and
disadvantages so that this controller can be used as needed.
In the electric power system PID controller can be used to
cope with large load changes and sudden. Integral mode is
used to eliminate offset proportional and derivative mode is
used to reduce the tendency towards oscillation and provide
action control that anticipate changes in signaling faults.
PID controller is a type of continuous controller composed
of three types of control continuous basis namely
Proportional controller, Integral controller and Differential
controller. Mathematically the PID controller can be written:
 
t
DIp
dt
tde
KdtteKteKtm
0
)(
)()()( …...(5)
with:
m(t) = compensator input
e(t) = compensator output
Laplace transform of the equation obtained transfer function
PID controller as follows[6]
:
)()( sEsK
S
K
KsM D
I
p 





 …… (6)
or
sK
S
K
K
sE
sM
sG D
I
p 
)(
)(
)( … (7)
with :
KP = proportional constant reinforcement
KI = integral constant reinforcement
KD = differential constant reinforcement
Mathematical equations forms of PID controller that are
arranged in parallel can be expressed in the form of a block
diagram such as Fig-2
below:
Fig-2: Block diagram of PID mathematically
Fig-3: Block diagram of PID with Laplace
2. REASERCH METHOD
2.1 Stage Of Research
[1]. To Collects information related PID controllers, AVR
control and generation systems, including down load
files from the Internet (Information form secondary
data from the PLN and study literature).
[2]. Collect daily data generation based on peak load
operation day and night.

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[3]. Grouping the data loads then processed within
Microsoft Excel.
[4]. Creating a model of control by using simulink within
Matlab R14 version 7.8. This software is very good in
preparing and making the model so that research can
be done in several steps:
[5]. Taking the necessary models such as voltage reference
with a step function models on Continuous Functions
within Simulink.
[6]. Creating a model for the process (the system to be
controlled) in the form of Laplace equation is then
connected to the reference voltage as the reference
input of the system to be controlled.
[7]. Creating the sensor models to detect the output voltage
as a result of processes that do not cross the limits of
the existing voltage.
[8]. Create a view of output voltage in graphical form by
installing a function scope on the output voltage.
[9]. The simulation results of this control system will be
tested by analyzing the equation formed by existing
models using Routh criteria then calculate the
magnitude of the control parameters then compute the
output voltage generator.
2.2 Location of Research
This research was conducted at the office of PT. PLN
(Persero) Power Unit Tello, Makassar, from April until May
2015.
2.3 Research Instrument
The instrument used in this study is the hardware and
software. Hardware includes a set of computers that are
compatible with the software used, while the software
include Matlab Simulink. To simulation of the AVR
controller when normal conditions and load conditions.
Microsoft Excel helpful in the processing of the initial data
and graphs. Microsoft Visio is a tool to create a block
diagram or flow chart.
2.4 Model Used
In this study, power represented by a generator on the Gas
Power Plant is modeled as a resource and equipped with
control equipment namely AVR and PID to get a quick
response time within controlling the voltage changes due to
changes in system load.
2.5. Research Design
Simulations model of the research design is described as
follows:
Input Process
Sensor
OutputPID AVR
Fig-4: Block diagram of AVR with PID Controller
Caption 4 :
 Input Block: This block contains varying data load.
 AVR Block: This block contains control models
voltage regulator is general used, but the time response
is not fast.
 PID Block This block contains control model voltage
regulator that works faster when the reactive load
changes.
 Process Block: This block contains a combination of
both models AVR control and PID.
 Sensor : This block contains a detection tool in
determining the response time of the control models.
 Output Block: This block contains the display output
voltage changes with time to variying load on the
system.
 The arrow indicate the direction of process control.
3. RESULTS AND ANALYSIS
Fig-5: AVR simulation with proportional control on
Normal Conditions (Load Changes = 0 due to changes
Reactive Power = 0)
Fig-6: Relation output voltage versus time with Kp =
0.00318671
In Fig-6 for Kp = 0.00318671 to the reference voltage 1.0
pu, the magnitude of output voltage generator before there is
an interruption of 0.808517 pu to overshoot by 25% and
setting time 2.63476 seconds.
Fig-7: AVR simulation with P controller on the load
condition.

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Fig-8: Simulation AVR with P controller when there
disturbance.
The voltage changes (ΔV) decreased by 0.1 pu and ΔV
increased by 0.15 pu with Kp = 0.00318671
Fig-9: Results of simulation AVR with P controller when
there disturbance.
The voltage changes (ΔV) decreased by 0.3 pu and ΔV
increased by 0.25 pu with Kp = 0.00318671
Fig-10: Results of simulation AVR with PID controller on
normal condition with Kp = 0.0161354, Ki = 0.04186340
and Kd = 0.00155477
From Fig-10 above can be explained that the voltage
referansi 1.0 pu, the output voltage of the generator using
the AVR with a PID controller is equal to a voltage of 11.5
KV or 1.0 pu. This situation occurs with P constant (Kp) =
0.0161354, I constant (Ki) = 0.0418634 and D constant (Kd)
= 0.00155477.
(a) Load decreased by 0.1 pu and load increase by 0.15 pu
(b) Load decreased by 0.2 pu and load increase by 0.25 pu
Fig-11: Results of simulation AVR with PID controller
optimum design in the case of disturbance to Kp =
0.0161354, Ki = 0.01815 and Kd = 0.00359
The addition of a PID controller on the AVR, the time used
of AVR in restoring voltage on the voltage stability to be
very short, despite experiencing oscillation or swing just one
time and then returned to the point of stability. This is done
by setting the double-zero value to get the Kp, Ki and Kd
are optimum.
The simulation results show that the time used PID
controllers to returns the voltage to a stable position is
shorter with a maximum overshoot of 25% compared to
using the AVR with P controller, the time used to restore the
voltage in stable condition for a long time at the same
maximum overshoot of 25%.
Thus it can be explained that PID controller optimum
design is better than the P controller on AVR system to
Tello power plant case.
4. CONCLUSIONS
1. The right location for the installation of a PID controller
in the AVR system installed after load changes input (before
the AVR system) so that the load changes the affect voltage
can be set. AVR's performance becomes lighter in
controlling the voltage on the existing tolerance.
2. P and PID controllers conducted in disturbance conditions
or changes in load, indicated that the PID controller is better
than the P controller to control the voltage in times of load
changes.

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ACKNOWLEDGEMENT
This study is a Research Competitive Grant Number: DIPA
1518/K9/AK.03/2015 dated 10th
April 2015, for that we
would like to thank DitLitabmas that gives research funding.
REFERENCES
Texbooks :
[1]. Aris Rakhmadi, TaufiqSawaludin, Maret 2004.
Pengendali PID Berbasis PLC Modicon TSX Micro
3722 Untuk Mengatur Kecepatan Motor Induksi Tiga
Fase, Teknik Elektro Universitas Muhammadiyah
Surakarta, Jurnal Teknik Elektro dan Komputer Emitor
Vol. 4, No. 1, accessed on Mei 20, 2010
[2]. Charles L. Phillips, Alihbahasa Prof. R. J. Widodo,
1997. SistemKontrol, Dasar-dasar, Prenhalindo,
Jakarta.
[3]. Charles L. Phillips, 1996. Feedback control system,
Prentice Hall
[4]. Charles L. Phillips, 1996. Alihbahasa Prof. R. J.
Widodo, 1997. Sistem Kontrol, Lanjutan, Prenhalindo,
Jakarta
[5]. Hadi Saadat, 1999. Power system Analysis, McGraw
Hill
[6]. Katsuhihiko Ogata, 1997. Modern Control
Engineering, Third Edition, Prentice Hall
[7]. Prabha Kundur, 1994. Power system stability and
Control, McGraw Hill
[8]. Robert H. Bishop, 1997. Modern control systems
Analysis and design using Matlab and simulink,
Addison Wesley Longman Inc, Canada
Journal:
[1]. Matius Sau, 2009. Perubahan frekuensi sistem dapat
terjadi akibat pelepasan beban, untuk kasus Sistem
Sulselbar, Jurnal Adiwidia, Makassar
[2]. N. Rengarajan, ANN based design of governor control,
Principle, Vivekananda Institute of Engineering &
technology, India, accessed on September 27, 2012
[3]. Zwe Lee Gain, June 2004. A particle swarm
optimization approach for optimum design of PID
controller in AVR system, IEEE Trans. On Energy
conversion, Vol. 19 No. 2.
Internet:
Http://en.wikipedia.org/wiki/PID controller, accessed on
July 25, 2010.
BIOGRAPHIES
Hestikah Eirene Patoding
Was born in Palopo, April 7, 1971. The
author graduated from Postgraduate
Electrical Engineering at the University
of Hasanuddin, Makassar, Indonesia.
Has produced several scientific papers /
research, among others, research
Optimization Placement of Capacitors
Electrical System in Sulselbar As An Alternative Energy
Using Genetic Algorithm (2012/as chairman) and Modeling
Control of Automatic Voltage Regulator with a Proportional
Integral Derivative to Changes Reactive Loads System in
the in Gas Power Plant (2014/as chairman). The author is
also as a speaker at national and international seminars.
Eodia T. Sedan Lobo’
Was born in Rantepao, January 31,
1956. The author graduated from
Postgraduate Electrical Engineering at
the University of Hasanuddin,
Makassar, Indonesia. Has produced
scientific papers / research that is
research Modeling Control of
Automatic Voltage Regulator (AVR)
with a Proportional Integral Derivative (PID) to Changes
Reactive Loads System in the in Gas Power Plant (2014/as
members) (2014 / as Members). As a speaker at national
seminar.
Matius Sau’
Was born in Tumbang Datu, July 7,
1975. The author graduated from
Postgraduate Electrical Engineering in
Power System field at the Bandung
Institute of Technology. Has produced
several scientific papers / research,
among others, research Electrical Fields
Biological Impacts Control System
Along High Voltage Air Transmission Line of South
Sulawesi Systems (Cases: Tello-Pangkep and Tello-
Sungguminasa Tansmission System) (2012/as chairman).
The author is also as a speaker at national and international
seminars.

Modeling control of automatic voltage regulator with proportional integral derivative

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Modeling control of automatic voltage regulator with proportional integral derivative