Fuzzy Logic Method in SCADA to Optimize Network Electric Power Smart Grid

International Journal of Research in Engineering and Science (IJRES)
ISSN (Online): 2320-9364, ISSN (Print): 2320-9356
www.ijres.org Volume 5 Issue 1 ǁ January. 2017 ǁ PP.22-26
www.ijres.org 22 | Page
Fuzzy Logic Method in SCADA to Optimize Network Electric
Power Smart Grid
Wasum1
, SholehHadi Pramono2
, Rahmadwati3
Department of Electrical Engineering, University ofBrawijaya, Indonesia
Abstract: Smart grid is one of the solutions in terms of distribution of electricity to make it more effective and
reliable. One of the main functions of the smart grid is to provide an important role in maintaining the reliability
of electricity supply. Some sections in the smart grid include existing equipment at the site and the central
computer. In order to convey the data from the site plant to the central computer, it needs a smart grid
instrument controllers like SCADA. SCADA has a role to monitor, control, and communicate in two-ways
between equipment on the site plant and the central computer. In SCADA systems, we often experience
difficulty in obtaining data such as uncertainty of data and non-precision data. Then a method to overcome it is
needed. In this study, Fuzzy Logic is used to detect network conditions toward the aspects of loading and the
interference of overcurrent. Using four input variables with three and four linguistic value and four output
variable with two linguistic value has resulted in eighty one rule base. Identification of faults was conducted by
how big the DC voltage and the current. Once validated by SCADA systems and the use of Fuzzy Logic, we
obtained 97.53% of the perfection of the system.
Keywords: Fault, Fuzzy Logic, SCADA, Smart grid
I. INTRODUCTION
The needs of electricity in Indonesia has increased every year. It was proved by the increase in the
average growth of 8.6% from 216.8 TWh (Tera Watt Hour) to 457.0 TWh throughout 2016 and 2025. To meet
it, the Indonesian government has tried to build and renew generation facilities, rearrange the transmission
network, and rearrange the distribution network. The obstacle of the government's efforts includes limited
electricity supply due to differences in geographic location so that the electricity weren’t fulfilled. The power
supply in Indonesia is currently using interconnection system that is used by all major islands, while small
islands are still using the isolated system and has reached the electrification ratio up to 88.3% [1].
In recent years, Indonesia is building an interconnection system. It is proven by the efforts of the
government to operate a new power plant, add plant reliability, improve the reliability of the transmission
system, strengthen the transformer in the substation, increase the recovery of electricity supply during faults and
open up the possibility of a hybrid solar power and hybrid thermal power station. The Government's efforts are
aimed to anticipate growth in customer demand, maintain continuity of power supply and maintain, steady
voltage in accordance with the needs and automation of network operation of electricity[2].
Based on the above elaboration, in 2011 Gao and Redfern tried to provide solution by creating a more
effective and reliable electrical distribution. In that study, smart grid system was used. This system had used
smart devices, modern communication systems and reliable management system[3]. Other advantages of this
system were to have a large capacity in monitoring data generated by an integrated, data analysis for supporting
decision, increased security, effectiveness in communication, to meet customer demand and reduce energy
consumption and costs.
Based on the research conducted by Gao and Redfern, Borlase (2013) tried to provide a solution by
creating a control instrument in the smart grid. The instrument was a Supervisory Control and Data Acquisition
(SCADA) [4]. This system referred to a system or combination of systems that and collect data from various
sensors which were located in the site plant. Then they sent the data to a central computer which was then used
to view, manage and control devices in the site plant. Broadly speaking, SCADA installed in the central
computer with SCADA software in it, the appearance of the Graphical User Interface (GUI), front-end data
acquisition equipment, presenting data and information in real-time, intelligent alarm processing, can use thin
clients and web-based clients, using one or more Remote Terminal Unit (RTU) and using a communication
system. Utilization of SCADA systems in the power network aims to obtain data in real-time on the site plant as
it is in the power plants, substations transmission and distribution, feeder distribution, and other devices, giving
orders to the equipment located at the site of the plant with response time ranges between 1-5 seconds.
When we pay attention on its components, SCADA consists of two components, field devices such as
RTU, and central computer. RTU is a microprocessor device which transfers the telemetry data to the central
computer. RTU is located in the plant site. The main functions of RTU are interfacing input/output, collecting
data, presenting data to a central computer, and manipulating the data before it is sent to the central computer.

Fuzzy Logic Method in SCADA to Optimize Network Electric Power Smart Grid
Meanwhile, the central computer is a computer system that is responsive to the circumstances which occur in
the RTU. In large SCADA system, central computer serves to reduce double data, distribute software, and
record events which occur on each device.
According to the research conducted by Gouzhen et al in 2009, SCADA systems were used for
monitoring, controlling, and two-way communication between the central computer and the photovoltaic power
plant. There were two basic studies in this research. They were a match between the conditions at the plant site
in the central computer and a server configuration SCADA[5].
Every complex system definitely will have some risks. Some risks that occur in the SCADA are the
breakdown of communication between the central computer and the device at the site plant, the unstable data
transmission, and the damage to system which causes faults[6].
SCADA systems often have difficulty in obtaining data from the RTU. Some of the difficulties are the
amount of noise, the uncertainty of data, and the ambiguous data obtained in the SCADA system. To overcome
this, Kumar et al are using Fuzzy Logic. Because Fuzzy Logic is able to cope with the uncertainty and non-
precision data received from the RTU to the central computer. In this methods there is membership function and
rule base that can be adapted to the needs [7]-[8].
Based on the explanation above, this research focuses on the use of Fuzzy Logic in SCADA which is
used to detect faults that occur on the network due to fault of overcurrent and load.
II. MATERIALS
In the SCADA system, the quality of the measurement depends on the transducer and converter,
telemetered to control systems via communication links. One of the components in SCADA located at the site of
plant is RTU in which there are inputs and outputs such as analogue-to-digital converters, digital-to-analogue
converters, analog inputs, digital inputs and digital outputs and communication ports in it.
The data used in this research is data types such as voltages and currents generated by the devices on
site plant and the voltage and current received by the central computer, fault, response time which occurs during
and after faults as well as length of transmission media used.
III. METHOD
3.1. Measurement
For measurement, the data was obtained from the following ways: First, by using the data changes to
large voltages and currents generated by the devices on site plant so that voltage and current received central
computer will adjust magnitude. Second, by using multiple nodes as a source of voltage and current and form a
network, then between the node, a fault was created. It will affect the delivery of data and information to the
central computer. Third, doing the analysis using fuzzy logic by doing data collection first and then process
them to obtain the rule for any condition of input results. Then the data will be saved and will be used by Fuzzy
Logic in determining the output to obtain optimum use of resources and load usage.
3.2. System Scheme
In this study, a scheme of the system as shown in Figure 1 is used.
PC Gateway Hub/SwitchEth
Analog Input
Eth
Digital Input /
Digital Output
Eth
Central Computer
Site
PV #1
1
2
2
PV #2
PV #n
1
2
1
1
2 Status
Metering
Figure 1. System Scheme
Based on Figure 1, it was concluded that: First, PC Gateway is a unit which displays and stores data
generated by the site plant section. Second, PC Gateway will provide data and information in the SCADA
system. Third, status and control of existing equipment at the site plant will be read by a sensor device that has a
digital input and digital output. Fourth, the measurement will be addressed by tools which have inputs analog
sensor. Fifth, the source voltage and current are generated by photovoltaic (VP).
3.3. Fuzzy Logic
In this study, the method of Fuzzy Logic used can be seen in Figure 2.

Input Rule Base Output
Figure 2.Structure of Fuzzy Logic
In fuzification in taking input and has been predetermined the degree of membership. In this study, four
input variables, namely volt1, volt2, volt3 and volt4 are taken. It generates four output variables which are
relay1, relay2, relay3 and relay4. The value of all the linguistic input variables is divided into three: low, normal
and high, while the linguistic value of the output is divided into two: open and close.
Each input variables have low membership function with a voltage range between 0V up to 2V, normal
to the voltage range between 2V up to 9V and high voltage range between 9V up to 10V. Meanwhile, the output
variable has an open membership functions which have a normal stress, and has covered the low and high
voltage.
From the results of fuzification input, eighty one rule base was obtained. This rule base was
implemented on Analog Input tool and displayed in the form of SCADA systems on the PC Gateway. Here are
two of the eighty one rule base obtained: First, when volt1 is low, and volt2 is low, and volt3 is low and volt4 is
low, then relay1 is opened, and relay2 is opened, and relay3 is opened, and relay4 is opened. Secondly, when
volt1 is normal, and volt2 is normal, and volt3 is high, and volt4 is high, then relay1 is opened, and relay2 is
opened, and relay3 is closed, and relay4 is closed.
3.4. SCADA System
In this study, SCADA systems are used to display data and information such as status, control and
measurement of the devices that exist in the plant site and then the data will be sent to the PC Gateway. Then the
data will be stored in the existing database on a PC Gateway that will serve as a log.
Globally, the display of SCADA can be seen in Figure 3.
Menu
#1
Menu
#2
Menu
#nTitle
Clock
Date
Alarm
Chart of Measurement
(Real Time)
Measurement
PV #1
PV #2
PV #n
Control Relay
Status of
Measurement
Figure 3. SCADA Layout
In this study, the SCADA system layout is divided into three sections: Header, Body and Footer. The
Header section is used for the placement of titles, multiple menus which are used, the time and date information.
Meanwhile, the Body section is used to display features such as charts and bar voltage measurements in real-
time generated by PV. In the control relay, it is used to control relays manually or automatically and on the
status of measurement, it is used as a condition of the relay and PV connected/on or disconnected/off on
SCADA systems. Finally, on the Footer it is used to display event and alarm which occur in real-time.
IV. EXPERIMENT AND RESULTS
4.1. Measurement
In this study, four measurements of solar panel modules are used. This solar panel module serves to
transform solar energy into DC power. These solar panels have each specification Maximum Power (Pmax) of
100W. Figure 4 is voltage measurements which have ever been done. The voltage values measured is up to 10V,
and the smallest time used is milliseconds (ms).

Figure 4. Voltage measurements
In this measurement, it has also been implemented with fuzzy logic membership functions numbers 1-2
which mean low, the rate of ≥ 2 - ≤ 18 which meansnormal and the number >18 which meanshigh. In the
measurement of value of <2 and >18, the graph shown is red. Still in the graph, the triangle mark above
illustrates the highest voltage and the triangle below illustrates the lowest voltage during the measurement taken.
4.2. SCADA System
Tests conducted on the SCADA system aims to determine whether the design results system has
functioned properly and in accordance with the recommended specifications. Tests performed include First,
making sure all devices on the central computer and the site plant have been connected in accordance with the
procedure. Second, making sure that application of SCADA system can be operated in line with expectations.
Third, testing the SCADA system which serves to communicate between devices on the site plant, central
computer and user.
The display of this test is shown in Figure 5.
Figure 5. Display SCADA System Testing
Figure 5 has included some details of which are measurements that have been done in real-time which
amounted PV1 and PV2 of 8,33V and 8,21V, relay status is shown in DI1 to DI4 is ON.
4.3. Scenario of Fault
Scenario of fault in this study is used to test and measure the robustness of the system that has been
created. Several scenarios of faults that have been made can be seen in Figure 6 and Table 1.
PC Gateway Hub/Switch1
Analog Input
Digital Input /
Digital Output
2 4
PV #2
PV #n
3
5
PV #1
Figure 6. Scenario of fault
Table 1. Scenario of fault

No Description
Cable
Length
Response
Time
1 UTP cable is disconnected between the Gateway PC
and Hub / Switch
1m 0,1ms
2 UTP cable is disconnected between Hub/Switch with
Analog Input module and Digital Input module.
2m 0,2ms
3 Negative cable is disconnected between Analog Input
module and PV #1
5m 0,5ms
4 Cable is disconnected between Digital Input module
and the PV #2
5m 0,4ms
5 UTP cable is disconnected between the PC Gateway
and Analog Input module which is connected directly
3m 0,2ms
V. CONCLUSION
The use of Fuzzy Logic was conducted to determine the membership functions of the four input and
four output voltage magnitude condition of the relay. Membership function has obtained eighty-one rule base.
The calculation of Fuzzy Logic has been implemented in Analog Input module and into the SCADA system.
Once validated between SCADA systems and the use of Fuzzy Logic, then we obtained 97.53% of the
perfection of the system or two of the 81 rule base to be evaluated.
ACKNOWLEDGEMENTS
We would like to express many thanks to the Electrical Engineering University of Brawijaya which has
supported our research.
REFERENCES
[1]. Perusahaan Listrik Negara, Rencana Usaha PenyediaanTenagaListrik (RUPTL) PT. PLN (Persero) Tahun
2016-2025, (Jakarta : Perusahaan Listrik Negara, 2016).
[2]. Perusahaan Listrik Negara, Statistik PLN 2014, (Jakarta : Perusahaan Listrik Negara, 2015).
[3]. Gao, C, and Redfern, M.A., A Review of Voltage Control in Smart Grid and Smart Metering Technologies
on Distribution Networks. 46th
International Universities Power Engineering Conference. Germany. 2011.
[4]. Borlase S., Smart Grid: Infrastructure, Technology, and Solutions, (Boca Raton: CRC Press, 2013).
[5]. Guozhen H, Tao C, Changsong C, and Shanxu D. Solution for SCADA System Configuration Reliability
in Photovoltaic Power Plant, IEEE, IPEMC, 2009, 2482-2485.
[6]. Hamoud G, Chen RL, and Bradley I, Risk Assessment of Power System SCADA, 2003, 758-764.
[7]. Kumar P, Jamil M, Thomas MS, and Moinuddin, Fuzzy Approach to Fault Classification for Transmission
Line Protection. IEEE. TENCON, 1999, 1046-1050.
[8]. Naba A., BelajarCepat Fuzzy Logic Menggunakan MATLAB, (Yogyakarta :Andi Publisher, 2008).

Fuzzy Logic Method in SCADA to Optimize Network Electric Power Smart Grid

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