This document discusses energy theft detection issues in smart grid advanced metering infrastructure (AMI). It presents an attack tree threat model showing energy theft behaviors in AMI. Currently, meeting demand is not possible and energy theft in distribution cannot be found. The proposed system uses current sensors to detect power theft, sends alerts via GSM, and manages data using Zigbee. This prevents electricity theft and the associated problems of power crisis and load shedding. Hardware includes microcontrollers, sensors, GSM/Zigbee modems, and software is Kiel Compiler and embedded C. A block diagram shows the system components and connections. Future uses include industries, hospitals, and power suppliers to address the estimated $25 billion lost annually to energy theft
The presentation introduces energy theft detection issues for smart grids, guided by MS. Zeenath and presented by Syed Abdul Suboor, Muhammad Abraruddin, and Syed Junaid.
The content outline includes introduction, existing system, drawbacks, proposed system, advantages, block diagram, and future scope.
This slide introduces the concept of power generation, serving as a backdrop for further discussion on energy-related issues.
AMI is vital for smart grids, but susceptible to energy theft, costing $25 billion annually. This slide discusses security requirements and proposes a threat model.
Existing systems struggle to meet demand and detect energy theft in distribution networks.
Highlights the vulnerabilities in existing systems, including risks of electricity theft, power crises, and load shedding.
The proposed system uses current sensors to detect theft, GSM for notifications, and Zigbee for data management.
The new system aims to meet demand, prevent electricity theft, and avoid power crises.
Listing various hardware requirements, including microcontrollers, sensors, GSM, and batteries.
Identifies the software tools needed for system development, namely Kiel Compiler and Embedded C.
Presents a block diagram that outlines the components and connections of the proposed system.
Details on components in the reading device section including microcontroller, power supply, and RFID reader.
Identifies key modules such as current and voltage sensors that are integral to the design.
Focuses on the solar panel as a significant component of the energy system.
Introduction of the ARM processor as a core processing unit for the proposed system.
Discusses potential applications in various sectors like industries, hospitals, and households.
Advanced Metering
Infrastructure(AMI)
Withthe proliferation of smart grid research, the Advanced Metering
Infrastructure (AMI) has become the first ubiquitous and fixed
computing platform.
However, due to the unique characteristics of AMI, such as complex
network structure, resource-constrained smart meter, and privacy-
sensitive data, it is an issue to make AMI secure. Energy theft is one
of the most important concerns related to the smart grid
implementation.
It is estimated that utility companies lose more than $25 billion every
year due to energy theft around the world. To address this challenge,
in this paper, we discuss the background of AMI and identify major
security requirements that AMI should meet. Specifically, an attack
tree based threat model is first presented to illustrate the energy-theft
behaviors in AMI.
5.
EXISITING SYSTEM
Meetingthe demand is not possible in this method.
Cannot find the energy theft in distribution network.
6.
DRAWBACKS OF EXISTINGsystem:
Possible for electricity stealing.
Causes for power crisis.
Load shedding.
7.
PROPOSED SYSTEM
Current sensoris used to find the power theft in
distributed generation.
GSM is used for intimation purpose.
Zigbee is used for Data base management.
8.
ADVANTAGES OF PROPOSEDSYSTEM:
Canmeet the demand requirements.
Prevent the electricity steal
Prevent power crisis.
The total amount.
9.
HARDWARE REQUIREMENTS
Microcontroller
GSM Modem
Zigbee Modem
Solar panel
Battery
Voltage sensor
Current sensor
LCD
Driver unit
Buzzer
RFID tag and reader
MAX232
BLOCK DIAGRAM
ARM 7
Powersupply
LCD
Buzzer
Driver
Circuit
Voltage sensor
Grid
Battery
Current
sensor
Solar panel
GSM Max232
RFID TAG
Current
sensor
Load
Max232