IRJET- Remotely Monitoring Health of the Solar Power System using Arduino

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1871
Remotely Monitoring Health of the Solar Power System Using Arduino
Supriya Ghodake1, Priyanka Ghadage2, Neha Patil3, Prof.Akshay Jadhav4
1,2,3Student, Dept. of ENTC Engineering, SVERI’s College of Engineering, Pandharpur, Solapur University Solapur,
Maharashtra, India
4Assistant Professor, Dept. of ENTC Engineering, SVERI’s College of Engineering, Pandharpur, Solapur University
Solapur, Maharashtra, India
----------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – Using the Internet of Things Technology for
Monitoring solar power generation can significantly increase
the performance and maintenance of the solar panel. This
Project is based on implementation of new cost actual
methodology based on IoT to remotely monitoring a solar
plant for performance evaluation. This will smooth the way of
preventive maintenance, fault detection of the solar panel in
addition to real time monitoring. This technology has many
applications like solar cities, Smart villages, Micro grids and
Solar Street lights and so on. As Renewable energy grew at a
rate faster than any other time in history during this period.
The planned system mentions to the online display of the
power usage of solar energy as a renewable energy. This
monitoring is done through Arduino using Thingspeak server.
Smart Monitoring displays daily usage of renewable energy.
This helps the user to study of energy usage. Analysis impacts
on the renewable energy usage.
Key Words: Solar Panel, Arduino Uno, Voltage Divider,
Current Sensor, LCD 16×2, ESP8266 Wi-Fi Module,
Thingspeak.
1. INTRODUCTION:
Solar power plants need to be monitored for most proper
power output. This helps assess actual power output from
power plants while monitoring for defective solar panels,
connections, and dust amassed on panels lowering output
and other such issues disturbing solar performance. So here
we propose an programmed IOT based solar power
monitoring system that allows for automated solar power
monitoring from anywhere over the internet. We use
Arduino based system to monitor solar panel parameters.
Our system continuously monitors the solar panel and
transmits the power output to IOT system over the internet.
Here we use IOT Thingspeak to convey solar power
parameters over the internet to IOT Thingspeak server.
A. Project Objective:
1. The main objectives of proposed system to design
and implement an intelligent smart monitoringand
management system that is capable of monitoring
the solar plant and stores parameters in the cloud
database in order to analyze performance of the
system through an easy manageable web interface.
2. In this proposed work power of the system
monitored using the Current and voltage
Parameters.
B. Block diagram:
Fig.1 remotely monitoring health of the solar power
system using Arduino Uno.
C. Methodology
When the data received from solar power unit the
connection between IOT Thingspeak and Arduino Uno are
initialized. After initializing Thingspeak now the data are
collected from SPU and stored in temporary buffers. When
all the parameter received from the SPU, then Arduino Uno
starts to transmit the data to a Wi-Fi module serially. Now
the Wi-Fi Module will host the data in cloud server in
specified time interval. Thus, the ESP8266 Wi-Fimodulehas
hosted all the parameter in the webpage via internet. Then
the display data in the Thingspeak channel are processed
and manipulated with help of C language finally, the
parameters are displayed in a LCD and webpage. After the
successful connection to the server for monitoring the
parameters of Solar power unit.

C. Components:
1. Arduino Uno:
Arduino is a microcontroller whichisusedtoreadthesensor
values. Current sensor is connecting to the Arduino. While
Keeping in mind the economic parametersanditssimplicity,
Arduino Uno has been used which reduce the programming
complexity. Analog pins are usedtosenseanalogvoltage and
current with the help of these values, monitoring solar
power system.
Fig.1 Pin diagram of Arduino Uno
2. Voltage Divider:
The analog inputs of an Arduino Uno can measure up to 5V.
Two resistors form voltage divider that is used to lower the
voltage being measured to a level that the Arduino can read.
10kohm and 100kohm register are used to decrease the
voltage circuit to 5V.Breadboard is usedfor buildthiscircuit.
The Analog pin of an Arduino gives the voltage value. This
actually spreads the range that can be used. The formula for
calculating values in a voltage divider is:
Vout = (R2 / (R1 + R2)) × Vin
If the divider present in the Arduino Uno voltmeter is
functioning correctly,thenoutputvoltagewill bea maximum
of 5V, and so you can calculate the maximum inputvoltage to
the circuit:
Vmax = 5.0 / (R2 / (R1 + R2))
D. Current Sensor:
For the purpose of current measurementwewill usecurrent
sensor ACS 712 (30 A). ACS 712Measure positive and
negative 30Amps, corresponding to the analog output
66mV/A. This sensor gives the readings of the current and
voltage. Those values are used in the given system for
calculate the in power.to gives power supply battery isused.
Other remaining pins of sensor is connects to the Arduino.
D. Liquid Crystal Display (LCD):
LCD is used for displaying the value of measured by sensor.
When product is keep into cart after scanning, it will show
the current and voltage value and if second values are
scanned, then value of current and voltage will get added
and it will be displayed on LCD.
E. Wi-Fi Module (ESP8266):
The calculated data by Arduino Uno is further processed by
Wi-Fi Module in order to store on IoT (Internet of Things)
Server or Cloud. In order to examines this data on daily,
weekly and monthly basis we are usingpopularIoTplatform
Thing speaks.
Results:
The output of purposed system as shown in below figures:
Fig.2 Output on Mobile Display from ThingView App
Fig.3 Output on Thingspeak window

Conclusion:
The given system keeps continues monitoring the solar
power system, the daily, weekly, and monthly investigation
become easy and efficient also with the help of this analysis
it is possible to detect any fault occurred within power plant
as the generated power may show some inconsistency in
data of solar power system.
Future scope:
The purposed system can measure temperature, flux,
Humidity, gas, pressure, speed, light Intensity etc. Also with
the help of motor and controller it is possible to tracking the
sun for better power generation.
References:
1. Farihah Shariff, Nasrudin Abd Rahim, Hew Wooi
Ping. “Photovoltic RemoteMonitoringSystemBased
on GSM”,IEEE. Conference on Clean Energy and
Technology (CEAT), 2013.
2. Oussama Ben Belghith, Lasaad Sbita “Remote GSM
module monitoring and Photovoltaic System
control”, First International Conference on Green
Energy ICGE 2014.
3. Chang-Sic Choi, Jin-Doo Jeong, Jinsoo Han, Wan-Ki
Park, Il-Woo Lee “Implementation of IoT based PV
Monitoring System with Message Queuing
Telemetry Transfer protocol and Smart Utility
Network ’’,978-1-5090-4032-2/17/$31.00 ©2017
IEEE.
4. Andreas.S.Spanias,‘‘SolarEnergyManagementasan
Internet of Things (IoT) Application’’.SenSIPCenter,
School of ECEE, Arizona State University, 2017.
5. Ankit Kekre, Suresh K. Gawre, “619 Solar
PhotovoltaicRemoteMonitoringSystemUsingIOT ’’
Proceeding International conference on Recent
Innovations is Signal Processing and Embedded
Systems (RISE -2017) 27-29 October, ISBN 978-1-
5090-4760-4/17/$31.00©2017 IEEE.
6. Dr Pushan Kumar Dutta, Dr KethepalliMallikarjuna
“Sensor based Solar Tracker System using
Electronic Circuits for MoistureDetectionandAuto-
Irrigation”,IEEEInternational Conferenceon Power,
Control, Signals and Instrumentation Engineering
(ICPCSI-2017).
7. Nallapaneni Manoj Kumar 1, Karthik Atluri 2,
Sriteja Palaparthi 3 “Internet of Things (IoT) in
Photovoltaic Systems’’,2018 National Power
Engineering Conference (NPEC), 2018 National
PowerEngineeringConference(NPEC)978-1-5386-
3803-3/18/$31.00 ©2018 IEEE .
8. ChaimaeZedak, AnassL ekbich, Abdelaziz Belfqih,
Jamal Boukherouaa, Touria Haidi, Faissal El
Mariam,“ A proposed securer emote data
acquisition architecture of photovoltaic systems
based on the Internet of Things”,978-1-5386-6220-
5/18/$31.00 ©2018 IEEE.
9. Suprita Patil, M. Vijayalashmi And Rakesh
Tapaskar, “Solar Energy Monitoring System Using
Iot”, Indian J.Sci.Res. 15 (2): 149-155, 2017.
10. S. Madhubala¹, R. Nachammai², I. Nandhini³, A.
M.Preethisha4, J. Janet Paulin5
“Solar Power Based Remote MonitoringAndControl Of
Industrial ParametersUsing Iot”,International Research
Journal of Engineering and Technology (IRJET) Mar-
2018.
11. B.Revathi,M.soundharya,D.K.Swathihaa,R.Umamahe
shwari,P.Vinotha.“Design of Solar Remote
Monitoring UsingRaspberryPI’’SouthAsianJournal
of Engineering and Technology Vol.3, No.3 (2017)
139–147.
12. Prof. Anupama Patil, Dr. Sanjay A. Deokar, Mr.
Abuzer Banderkar “GRID TIE Solar Power Plant
Data Acquisition System using Internet of
Things”,978-1-5386-5510-8/18/$31.00 ©2018
IEEE.
BIOGRAPHIES
Ms. Supriya Ghodake, I have
completed diploma in ENTC in
2016 from MSBTE. Now I am
pursuing BE in ENTCFromSolapur
university Solapur.
Ms. Priyanka Ghadage, I have
completed diploma in ENTC in
2016 from MSBTE. Now I am
pursuing BE in ENTCFromSolapur
university Solapur.

Ms. Neha Patil, I have completed
diploma in ENTC in 2014 from
MSBTE. Now I am pursuing BE in
ENTC From Solapur university
Solapur.
Mr. Akshay Jadhav is an Asst.
Professor in Department of
Electronics & Telecommunication
Engineering at SVERI's College of
Engineering, Pandharpur. He
received his B.E. in Electronics &
Telecommunication Engineering.
Shivaji University, 2012, M.E. in
Electronics Engineering from
Savitri bai Phule Pune Pune
University, 2014.

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