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Power theft Detection
Zeroth Review
presented by,
Presented by,
K.MEENAKSHI-923819106028
P.PRAKASHINI-923819106040
L.AARTHY-923819106002
M.AARTHI-923819106001
Under the guidance
of S.BHUVANESHWARI
ECE Head of the department
Contents
 Introduction
 Existing work
 Literature survey
 Problem formulation
 Proposed work
 Methodology
 Work plan
 References
Intoduction
• The customer’s behavior of stealing electricity comes in non-stopping
emergence.
• This infraction phenomenon has seriously affected the normal operation
of the power grid and the economic benefits of power enterprises.
• The electricity theft rate in developing countries is as high as 30%, and
the social power supply and consumption has also been greatly
influenced.
• Therefore, power enterprises must carry out efficient anti-electricity-theft
work, in order to guarantee the reasonable power supply and rational use
of electricity, thus to reduce economic losses as much as possible.
Existing work
• An Automatic Meter Reading system with detection system for
illegal electricity usage.
• Every user is connected to each other via modems, using power
lines.
• AMR is a technique to facilitate remote readings of energy
consumption.
Literature survey
S.NO AUTHOR PAPER TITLE YEAR TECHNIQUE USED ADVANTAGES DISADVANTAGES
1. Yang Xue, Yifei Shu , Heng
Yang, Sha Liu
Electricity theft
detection method
based on power
customer data
analysis
2020 Som neural
network, k -mean,
and clustering
algorithm
It can classify
input
automatically
without any
training samples
K- means greatly
affected by initial
value, random
initial value affect
the accuracy
2. Sumil Mohanty,
Mohammad Iqbal,
Paravathy
Controlling and
monitoring of
power theft using
IOT
2021 smart grid,
decision tree,
random forest,
gradient boosting
It is radiable it
does not have
defects like power,
or protection
Its difficult to
receivable even a
moment when
electricity is not
applied
3. Dr. A. Rajasekaran, P. Ajay
Sai P. Bhanu Teja P.G.S.
Swetha Priya
IOT Based
Power theft
detection
2020 89C51
microcontroller
identifying the
fault and also
tracking the
location of the
fault area
Its cost is very
high
4. Rupali Shinde, Soniya
Joshi, Vaibhav, Rajendra
Wagh
Power Theft
detection &
prevention
2020 GSM, Pic
Microcontroller
Same time,
optimize the use of
energy
It is just a theory
paper
Problem Formulation
• The main aim of this project is to avoid the theft of power by using an
Arduino uno .
• This system we can avoid the illegal and unwanted power consumption by
greedy people.
Proposed work
• Studied the detailed requirements for our project and we are yet to formulate
most of it.
• Discovered the modules and equipments required and drafted a neat and
clear budget to purchase the components based on the utilities.
Methodology
Work plan
References
• Yujun Bao and Xiaoyan Jiang, “Design of electric Energy Meter for long-distance data information transfers
which based upon GPRS”, ISA 2009. International Workshop on Intelligent Systems and Applications,
2009.
• Vivek Kumar Sehgal, Nitesh Panda, Nipun Rai Handa, “Electronic Energy Meter with instant billing”, UK
Sim Fourth European Modelling Symposium on Computer Modelling and Simulation.
• Bharath P, Ananth N, Vijetha S, Jyothi Prakash K. V. ,“Wireless automated digital Energy Meter”, ICSET
2008.
• P.K. Lee and L.L. Lai, Fiee, “A practical approach to wireless GPRS on-line power quality monitoring
system”, Power Engineering Society General Meeting, 2007.
• Subhashis Maitra, “Embedded Energy Meter- A new concept to measure the energy consumed by a
consumer and to pay the bill”, Power System Technology and IEEE Power India Conference, 2008.
POWER THEFT (8).pptx

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POWER THEFT (8).pptx

  • 1. Power theft Detection Zeroth Review presented by, Presented by, K.MEENAKSHI-923819106028 P.PRAKASHINI-923819106040 L.AARTHY-923819106002 M.AARTHI-923819106001 Under the guidance of S.BHUVANESHWARI ECE Head of the department
  • 2. Contents  Introduction  Existing work  Literature survey  Problem formulation  Proposed work  Methodology  Work plan  References
  • 3. Intoduction • The customer’s behavior of stealing electricity comes in non-stopping emergence. • This infraction phenomenon has seriously affected the normal operation of the power grid and the economic benefits of power enterprises. • The electricity theft rate in developing countries is as high as 30%, and the social power supply and consumption has also been greatly influenced. • Therefore, power enterprises must carry out efficient anti-electricity-theft work, in order to guarantee the reasonable power supply and rational use of electricity, thus to reduce economic losses as much as possible.
  • 4. Existing work • An Automatic Meter Reading system with detection system for illegal electricity usage. • Every user is connected to each other via modems, using power lines. • AMR is a technique to facilitate remote readings of energy consumption.
  • 5. Literature survey S.NO AUTHOR PAPER TITLE YEAR TECHNIQUE USED ADVANTAGES DISADVANTAGES 1. Yang Xue, Yifei Shu , Heng Yang, Sha Liu Electricity theft detection method based on power customer data analysis 2020 Som neural network, k -mean, and clustering algorithm It can classify input automatically without any training samples K- means greatly affected by initial value, random initial value affect the accuracy 2. Sumil Mohanty, Mohammad Iqbal, Paravathy Controlling and monitoring of power theft using IOT 2021 smart grid, decision tree, random forest, gradient boosting It is radiable it does not have defects like power, or protection Its difficult to receivable even a moment when electricity is not applied 3. Dr. A. Rajasekaran, P. Ajay Sai P. Bhanu Teja P.G.S. Swetha Priya IOT Based Power theft detection 2020 89C51 microcontroller identifying the fault and also tracking the location of the fault area Its cost is very high 4. Rupali Shinde, Soniya Joshi, Vaibhav, Rajendra Wagh Power Theft detection & prevention 2020 GSM, Pic Microcontroller Same time, optimize the use of energy It is just a theory paper
  • 6. Problem Formulation • The main aim of this project is to avoid the theft of power by using an Arduino uno . • This system we can avoid the illegal and unwanted power consumption by greedy people.
  • 7. Proposed work • Studied the detailed requirements for our project and we are yet to formulate most of it. • Discovered the modules and equipments required and drafted a neat and clear budget to purchase the components based on the utilities.
  • 10. References • Yujun Bao and Xiaoyan Jiang, “Design of electric Energy Meter for long-distance data information transfers which based upon GPRS”, ISA 2009. International Workshop on Intelligent Systems and Applications, 2009. • Vivek Kumar Sehgal, Nitesh Panda, Nipun Rai Handa, “Electronic Energy Meter with instant billing”, UK Sim Fourth European Modelling Symposium on Computer Modelling and Simulation. • Bharath P, Ananth N, Vijetha S, Jyothi Prakash K. V. ,“Wireless automated digital Energy Meter”, ICSET 2008. • P.K. Lee and L.L. Lai, Fiee, “A practical approach to wireless GPRS on-line power quality monitoring system”, Power Engineering Society General Meeting, 2007. • Subhashis Maitra, “Embedded Energy Meter- A new concept to measure the energy consumed by a consumer and to pay the bill”, Power System Technology and IEEE Power India Conference, 2008.