Post on 03-Apr-2018
transcript
7/27/2019 Power Transformers baSic ppT
1/17
Power Transformers
7/27/2019 Power Transformers baSic ppT
2/17
INTRODUCTION OF POWER
TRANSFORMER
They have rating above 200 kva andused in generating station andsubstation used for power
transmission line for stepping up andstepping down the voltage.
They may be either single phase orthree phase unit.
7/27/2019 Power Transformers baSic ppT
3/17
CONTENTS
INTRODUCTION OF POWER TRANSFORMER
TYPES OF TRANSFORMER
TRANSFORMER FAULTS
EQIPMENTS USED FOR THE PROTECTION OF POWER
TRANSFORMER Artificial Neural Network
Neural network design
ADVANTAGE
CONCLUSION
7/27/2019 Power Transformers baSic ppT
4/17
7/27/2019 Power Transformers baSic ppT
5/17
TYPES OF TRANSFORMER
Power transformer.
Distribution transformer.
7/27/2019 Power Transformers baSic ppT
6/17
DETAILS OF POWER
TRANSFORMER
12500/10000 KVA.
50 hz.
132 kv (H.v. side)
6.9 kv (L.v. side)
54.7 amp (H.v. side)
1045.39 amp (L.v. side)
55 degree centigrade (max temp rise)
14706/17100 Liter (oil)
7/27/2019 Power Transformers baSic ppT
7/17
TRANSFORMER FAULTS
Transformer faults are generally classified in to
five categories:
Winding and terminal faults
Core faults
Tank and transformer accessory faults
On-load tap changer faults Abnormal operation conditions
Sustained or uncleared external faults
7/27/2019 Power Transformers baSic ppT
8/17
DAMAGE ON TRANSFORMER
7/27/2019 Power Transformers baSic ppT
9/17
7/27/2019 Power Transformers baSic ppT
10/17
Artificial Neural Network
An artificial neural network(ANN) isan imitation of human neural network
An ANN is constructed by layers ofsimulated artificial neurons.
An artificial neuron is a simulation ofreal neuron
7/27/2019 Power Transformers baSic ppT
11/17
7/27/2019 Power Transformers baSic ppT
12/17
Artificial neural networks
Inputs
Output
An artificial neural network is composed of many artificial
neurons that are linked together according to a specific
network architecture. The objective of the neural network
is to transform the inputs into meaningful outputs.
7/27/2019 Power Transformers baSic ppT
13/17
Neural network design
The neural networkconsists of two cell
types: weight cellsand output cells.
Weight cells act aslightfilters, and the outputcells act as reporters.
The two cell types areused together to
program a desiredoutput from a setinput.
7/27/2019 Power Transformers baSic ppT
14/17
7/27/2019 Power Transformers baSic ppT
15/17
ADVANTAGE OF NEURAL
NETWORK
pattern classification
regularity detection
image processing
speech analysis
optimization problems
robot steering
quality assurance
7/27/2019 Power Transformers baSic ppT
16/17
CONCLUSION
According to the approximation ability of neural network,
constructing the neural network model replacing the physical
transformer model.
7/27/2019 Power Transformers baSic ppT
17/17