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Technical Seminar Presentation
On
“IOT ENABLED SMART ENERGY GRID: APPLICATIONS AND
CHALLENGES”
YENEPOYA INSTITUTE OF TECHNOLOGY
DEPARTMENT OF MECHANICAL ENGINEERING
Presented by:-
NIHAL MANZOOR
4DM19ME063
Under the guidance of:-
Mr. G Sujaykumar
Asst .Professor
Dept. of Mechanical Engineeering
1
CONTENTS
1. Introduction
2. Architecture of IOT technologies
3. Application of IOT
4. Challenges faced by smart energy system
5. Mitigating IOT enabled cyber attacks
6. Conclusion
2
Dept. of Mechanical Engineering, YIT,Moodbidri
INTRODUCTION
3
 Advances in technology promote us to use electricity-
driven elements in every aspect of our life.
 The Internet of Things (IoT) is a rapidly emerging field of
technologies that delivers numerous cutting-edge solutions
in various application domains.
 IoT can resolve unavoidable challenges by transforming
conventional energy grids into modernized Smart Energy
Grid system.
Dept. of Mechanical Engineering, YIT,Moodbidri
 The IoT-enabled Smart Energy Grid system equipped
with intelligent two-way data communication can
significantly improve the operation and control of the
traditional energy grid system.
 These improvements address the reliability, flexibility,
efficiency of the conventional grid system.
4
Dept. of Mechanical Engineering, YIT,Moodbidri
KEY FEATURES OF IOT TECHNOLOGIES
 IoT has appeared to be an empowering technologies for the
smart energy grid system due to its multi-faceted advantages in
various grounds.
5
Key features of IoT Technologies
Dept. of Mechanical Engineering, YIT,Moodbidri
ARCHITECTURE OF IOT TECHNOLOGIES
6
 A three-layer architecture suitable for the integration to
the smart power grid is demonstrated.
Three layered IoT architecture combined with power grid
Dept. of Mechanical Engineering, YIT,Moodbidri
LAYER 1: DATA COLLECTION LAYER
 The data collection layer is in charge of collecting the
information from the physical devices with the help of
advanced sensing actuation technologies.
 an actuator can be described as an element that converts an
electrical gesture into the act or controls some external device,
for example, movement.
 The output signal of the sensor could be converted to motion by
actuator or show in any readable display or transmitted over the
network for further processing.
7
Dept. of Mechanical Engineering, YIT,Moodbidri
LAYER 2 :DATA COMMUNICATION LAYER
 Data communication layer is responsible for transmitting the
raw information or statistics that is acquired from data
collection section and transfers them to a remotely located
utility for further processing and actions.
Local Area Network: Wide Area Network:
Bluetooth NB-IOT/LTE
NFC Sigfox
Wi-Fi LoRa/LoRaWAN
UPnP
Zigbee
8
Dept. of Mechanical Engineering, YIT,Moodbidri
LAYER 3:DATA PROCESSING LAYER
 The data processing layer of IoT is responsible for processing
and analyzing the data generated by IoT devices.
 It involves collecting, storing, analyzing, and visualizing the
data to extract insights and derive value from it.
 Cloud Computing
 Fog and Edge Computing
9
Dept. of Mechanical Engineering, YIT,Moodbidri
APPLICATION OF IOT
10
 FOG OR EDGE NODE-BASED SCADA SYSTEM:
 A fog or edge node-based SCADA - a system architecture that utilizes
fog or edge computing to process data locally, rather than transmitting all
data to a centralized server or cloud.
 In a traditional SCADA system, data from sensors and control devices
are sent to a central server, where it is processed and analyzed.
 data is processed closer to the source, either at the edge of the network or
in a fog computing layer that is closer to the devices.
 The fog-based smart energy grid SCADA system comprises of four
major parts,
• End or terminal devices
• Fog computing devices
• Cloud
• SCADA system
Dept. of Mechanical Engineering, YIT,Moodbidri
11
Overall Architecture of Fog based smart energy grid
SCADA system
Dept. of Mechanical Engineering, YIT,Moodbidri
 IOT FOR AMI CONNECTED DISTRIBUTION SYSTEM:
 The advanced metering infrastructure (AMI) is an architecture for
programmed, bi-directional communication between the consumer
smart meter, and service provider.
 The objective of an AMI is to deliver real-time statistics regarding
power consumption to the utility service providers.
 With the help of the smart meter, the consumer can control their
devicesremotely thus control their energy utilization effectively.
12
Dept. of Mechanical Engineering, YIT,Moodbidri
CHALLENGES FACED BY SMART ENERGY SYSTEM
13
 Cyber attacks on IoT enabled smart automation devices running
in non critical premises.
 Cyber attacks on IoT enabled smart automation devices running
in critical facilities.
 Energy theft.
Different energy theft situations
Dept. of Mechanical Engineering, YIT,Moodbidri
CONCLUSION
14
 The IoT-enabled smart grid is an upcoming grid system that
has the potential to solve various challenges and issues of the
traditional grid.
 The main objective of IoT is to enable ubiquitous and
seamless connectivity to a vast range of devices located all
around the globe.
 The integration of the IoT with a traditional power grid
system turns it into a smart one by enabling it to take smart
decisions during different phases of energy flow
Dept. of Mechanical Engineering, YIT,Moodbidri
THANK YOU
15
Dept. of Mechanical Engineering, YIT,Moodbidri

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ppt nihal seminar (1).pptx

  • 1. Technical Seminar Presentation On “IOT ENABLED SMART ENERGY GRID: APPLICATIONS AND CHALLENGES” YENEPOYA INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING Presented by:- NIHAL MANZOOR 4DM19ME063 Under the guidance of:- Mr. G Sujaykumar Asst .Professor Dept. of Mechanical Engineeering 1
  • 2. CONTENTS 1. Introduction 2. Architecture of IOT technologies 3. Application of IOT 4. Challenges faced by smart energy system 5. Mitigating IOT enabled cyber attacks 6. Conclusion 2 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 3. INTRODUCTION 3  Advances in technology promote us to use electricity- driven elements in every aspect of our life.  The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various application domains.  IoT can resolve unavoidable challenges by transforming conventional energy grids into modernized Smart Energy Grid system. Dept. of Mechanical Engineering, YIT,Moodbidri
  • 4.  The IoT-enabled Smart Energy Grid system equipped with intelligent two-way data communication can significantly improve the operation and control of the traditional energy grid system.  These improvements address the reliability, flexibility, efficiency of the conventional grid system. 4 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 5. KEY FEATURES OF IOT TECHNOLOGIES  IoT has appeared to be an empowering technologies for the smart energy grid system due to its multi-faceted advantages in various grounds. 5 Key features of IoT Technologies Dept. of Mechanical Engineering, YIT,Moodbidri
  • 6. ARCHITECTURE OF IOT TECHNOLOGIES 6  A three-layer architecture suitable for the integration to the smart power grid is demonstrated. Three layered IoT architecture combined with power grid Dept. of Mechanical Engineering, YIT,Moodbidri
  • 7. LAYER 1: DATA COLLECTION LAYER  The data collection layer is in charge of collecting the information from the physical devices with the help of advanced sensing actuation technologies.  an actuator can be described as an element that converts an electrical gesture into the act or controls some external device, for example, movement.  The output signal of the sensor could be converted to motion by actuator or show in any readable display or transmitted over the network for further processing. 7 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 8. LAYER 2 :DATA COMMUNICATION LAYER  Data communication layer is responsible for transmitting the raw information or statistics that is acquired from data collection section and transfers them to a remotely located utility for further processing and actions. Local Area Network: Wide Area Network: Bluetooth NB-IOT/LTE NFC Sigfox Wi-Fi LoRa/LoRaWAN UPnP Zigbee 8 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 9. LAYER 3:DATA PROCESSING LAYER  The data processing layer of IoT is responsible for processing and analyzing the data generated by IoT devices.  It involves collecting, storing, analyzing, and visualizing the data to extract insights and derive value from it.  Cloud Computing  Fog and Edge Computing 9 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 10. APPLICATION OF IOT 10  FOG OR EDGE NODE-BASED SCADA SYSTEM:  A fog or edge node-based SCADA - a system architecture that utilizes fog or edge computing to process data locally, rather than transmitting all data to a centralized server or cloud.  In a traditional SCADA system, data from sensors and control devices are sent to a central server, where it is processed and analyzed.  data is processed closer to the source, either at the edge of the network or in a fog computing layer that is closer to the devices.  The fog-based smart energy grid SCADA system comprises of four major parts, • End or terminal devices • Fog computing devices • Cloud • SCADA system Dept. of Mechanical Engineering, YIT,Moodbidri
  • 11. 11 Overall Architecture of Fog based smart energy grid SCADA system Dept. of Mechanical Engineering, YIT,Moodbidri
  • 12.  IOT FOR AMI CONNECTED DISTRIBUTION SYSTEM:  The advanced metering infrastructure (AMI) is an architecture for programmed, bi-directional communication between the consumer smart meter, and service provider.  The objective of an AMI is to deliver real-time statistics regarding power consumption to the utility service providers.  With the help of the smart meter, the consumer can control their devicesremotely thus control their energy utilization effectively. 12 Dept. of Mechanical Engineering, YIT,Moodbidri
  • 13. CHALLENGES FACED BY SMART ENERGY SYSTEM 13  Cyber attacks on IoT enabled smart automation devices running in non critical premises.  Cyber attacks on IoT enabled smart automation devices running in critical facilities.  Energy theft. Different energy theft situations Dept. of Mechanical Engineering, YIT,Moodbidri
  • 14. CONCLUSION 14  The IoT-enabled smart grid is an upcoming grid system that has the potential to solve various challenges and issues of the traditional grid.  The main objective of IoT is to enable ubiquitous and seamless connectivity to a vast range of devices located all around the globe.  The integration of the IoT with a traditional power grid system turns it into a smart one by enabling it to take smart decisions during different phases of energy flow Dept. of Mechanical Engineering, YIT,Moodbidri
  • 15. THANK YOU 15 Dept. of Mechanical Engineering, YIT,Moodbidri