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
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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
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Dept. of Mechanical Engineering, YIT,Moodbidri
INTRODUCTION
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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.
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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.
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Key features of IoT Technologies
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ARCHITECTURE OF IOT TECHNOLOGIES
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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.
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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
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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
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Dept. of Mechanical Engineering, YIT,Moodbidri
APPLICATION OF IOT
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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
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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.
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CHALLENGES FACED BY SMART ENERGY SYSTEM
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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
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CONCLUSION
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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