The main purpose of this presentation is to describe the importance of harmonics analysis in any power system. With the help of wavelet transform the analysis is been done.

1. IOT BASED HARMONIC
ANALYSIS USING
WAVELET TRANSFORM
GROUP MEMBERS:
EKTA BHATT -02
NEHA CHALGERI -03
KRISHNAPRIYA NAIR -06
PROJECT GUIDE - Dr. NIRANJAN KULKARNI

2. ABSTRACT
 A wavelet transform based method will be proposed in the project for
harmonic analysis. This project research is motivated by the ADANI
ENERGY POWER SECTOR for power quality monitoring
 In the project, an analyzer for recognizing power quality disturbances
will been developed. The analyzer adopts wavelet transform to extract
features of various distorted waveforms including those containing
harmonics
 Obviously, it is no longer necessary or economic to use Fourier
transform for evaluating harmonics that are retrievable from the
transformed data
 By employing techniques of WAVELET TRANSFORM, furthermore, each
harmonic component is directly retrieved. Both the distortion
estimation and the harmonics evaluation will be achieved with high
accuracy.All the controls will be IOT based

3. INTRODUCTION
 The growing use of power electronics systems in power supply networks
nowadays presents an increasing importance of harmonic studies.
 A power quality problem can be described as any variation in the electrical
power service, such as voltage dips and fluctuations, momentary
interruptions, harmonics and transients, resulting in mis-operation or failure
of end-use equipment
 The presence of harmonic distorts the shape of the voltage and current
which in turn creates many problems
 Traditionally, the discrete Fourier transform (DFT) is proposed for harmonic
analysis. But this traditional method have lot of limitations
 A new approach called Wavelet technique is applied here for harmonic
studies to overcome the limitations in the conventional methods and to give
an improved power quality to the system

4. COMPONENTS
 ARM Cortex M3. / MSP 320
 Micro Chip Software
 Current Transformer
 Current Sensing Circuit
 Power supply unit

5. HARMONICS
 Harmonic is multiple of the
fundamental frequency and it can be
voltage and current in an electric
power system are a result of non-
linear electric loads
 Harmonic frequencies in the power
grid are a frequent cause of power
quality problems
 In power systems, harmonics are
defined as positive integer multiples
of the fundamental frequency
 Since the harmonics are at higher
frequencies, they produce higher core
losses in a motor
 This results in increased heating of the
motor core, which (if excessive) can
shorten the life of the motor

6. What’s wrong with FFT?
 By using Fourier Transform (FFT),
we loose the time information
 For stationary signals - this
doesn’t matter, but what about
non-stationary or transients?
 In the FFT we can only see the
sinus frequency
 In the Wavelet plot we can clearly
see the exact location in time of
the discontinuity

7. WAVELET TRANSFORM
 Wavelets are oscillating waveforms
of short duration with amplitude
decaying quickly to zero at both
ends
 In WT, the wavelet is dilated and
shifted to vary the frequency of
oscillation and time location

8. DISCRETE WAVELET TRANSFORM
 This transform is used in this
project to detect harmonics in the
current waveform
 The formula which is used for
converting a current waveform into
DWT is given alongside
 In discrete wavelet analysis we
split the signal again and again into
Approximations and Details
• Approximations: High-scale,
low-frequency components of
the signal
• Details: low-scale, high-
frequency components

9.  fig: split, predict, update in lifting
process
 Fig: filtering into details and
approximation in DWT

10. BLOCK DIAGRAM

11. LITERATURE SURVEY

12. ADVANTAGES AND APPLICATIONS
 Advantages are as follows
 It helps to overcome the following:
1. Overheating of components
2. Equipment malfunction
3. Nuisance tripping of circuit breakers
4. Inaccurate measurements on sensors
5. Telecommunication interference
 Application are as follows
 Using a harmonic analyzer, industries can
significantly improve their energy efficiency
by adopting all possible measures. With the
early detection of harmonic voltage,
industries can replace their older
equipment, reducing the risk of any further
damage or complete shutdown of the
equipment
 The harmonic analyzer is the best
equipment to carry out a detailed power
quality analysis

13. CONCLUSION
 The proposed wavelet transform based method provides an alternative for
harmonic analysis
 With this method, distortions due to different sub-band harmonics can be
easily estimated and each harmonic component can be evaluated from part of
the transformed data
 The accuracy achieved is satisfactory with potential of further improvement

14. REFERENCES
[1] Robi Polikar - "Fundamental concept of Wavelet transforms,"
[2] Fedora Lia Dias, Jagadanand G -"ARM based Wavelet Transform
implementation for embedded system application," IEEE Paper,5th SARC-IRF
International Conference, 25th May-2014, New Delhi, India, ISBN: 978-93-84209-
21-6
[3] Shouxi Zhu, Wenlai Ma -"Design of Power Harmonic Detection Instrument ,"
IEEE Paper, Binzhou,China
[4] Eva Hostalkova -"Wavelet transform,” Athens,November 2009
[5] V.Thiyagarajan, Dr.N.P.Subramanian -"Analysis And Estimation of Harmonics
using Wavelet Technique," IEEE paper, Chennai,Tamil Nadu,India