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Wavelet based ANN Approach for power Transformer Protection designed by indraneel saki

version 1.0 (83.2 KB) by

indraneel saki ( indranil Saaki)

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This project presents an efficient wavelet and neural network (WNN) based algorithm for distinguishing magnetizing inrush currents from internal fault currents in three phase power transformers. The wavelet transform is applied first to decompose the current signals of the power transformer into a series of detailed wavelet components. The values of the detailed coefficients obtained can accurately discriminate between an internal fault and magnetizing inrush currents in power transformers. The detailed coefficients are further used to train an Artificial Neural Network (ANN). The trained ANN clearly distinguishes an internal fault current from magnetizing inrush current. A typical 750 MVA, 27/420KV, /Y power transformer connected between a 27KV source at
the sending end and a 420KV transmission line connected to an infinite bus power system at the
receiving end were simulated using MATLAB/ PSCAD/EMTDC software. The generated data were used by the
MATLAB software to test the performance of the proposed technique. The simulation results obtained
show that the new algorithm is more reliable and accurate. It provides a high operating sensitivity for
internal faults and remains stable for inrush currents of the power transformers.

Comments and Ratings (4)

ROHAN SHARMA

gaurav kapoor

Please suggest me solution of it. Thanks

gaurav kapoor

Sir, simulink models are not running, various blocks are showing "Bad Link" errors in MATLAB R2009b version.

Nikita Gupta

Updates

1.0

this concept also applicable for Grid power transformer for renewable energy resources.

1.0

this concept also applicable for Grid power transformer for renewable energy resources.

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Wavelet based ANN Approach for power Transformer Protection designed by indraneel saki/

Wavelet based ANN Approach for power Transformer Protection designed by indraneel saki/