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									Power Transformers
     INTRODUCTION OF POWER
          TRANSFORMER
   They have rating above 200 kva and
    used in generating station and
    substation used for power
    transmission line for stepping up and
    stepping down the voltage.

   They may be either single phase or
    three phase unit.
                 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
    TYPES OF TRANSFORMER
   Power transformer.

   Distribution transformer.
          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)
       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
DAMAGE ON TRANSFORMER
     EQIPMENTS USED FOR THE
      PROTECTION OF POWER
          TRANSFORMER
   Lightning Arrester.
   Over Current Relay.
   Buchloz relay.
   Earth fault relay.
   Oil level indicator.
   Over fluxing relay.
       Artificial Neural Network
   An artificial neural network (ANN) is
    an imitation of human neural network

   An ANN is constructed by layers of
    simulated artificial neurons.

    An artificial neuron is a simulation of
    real neuron
         Artificial neural networks


                                                     Output
Inputs




   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.
        Neural network design
   The neural network
consists of two cell
    types: weight cells
    and output cells.
 Weight cells act as
    light
filters, and the output
cells act as reporters.

  The two cell types are
  used together to
program a desired
  output from a set
  input.
     ADVANTAGE OF NEURAL
          NETWORK

·   pattern classification
·   regularity detection
·   image processing
·   speech analysis
·   optimization problems
·   robot steering
·   quality assurance
                CONCLUSION
According to the approximation ability of neural network,
constructing the neural network model replacing the physical
transformer model.

								
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