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The Use of Artificial Neural Networks for Identification and Location of Defective Insulators in Power Lines Through Current Transformers. Renato Massoni Capelini – UNIFEI – Brazil Manuel Luiz Barreira Martinez – UNIFEI - Brazil José Feliciano Adami – UNESP – Brazil
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TheUse of Artificial Neural Networks for Identification and Location of Defective Insulators in Power Lines Through Current Transformers Renato Massoni Capelini – UNIFEI – Brazil Manuel Luiz Barreira Martinez – UNIFEI - Brazil José Feliciano Adami – UNESP – Brazil Marcel Fernando da Costa Parentoni – UNIFEI - Brazil Ithamar Sene Junior – AES Sul - Brazil CAPELINI– BR – RIFS3– 0572
Purpose of the Project • Remote identification and location of defective insulator strings • Use the current transformer as a capacitive coupler for signal acquisition CAPELINI– BR – RIFS3– 0572
Defective Insulator Strings CAPELINI– BR – RIFS3– 0572
Corona Effect • Partial Discharge • Low Amplitude • High Frequency CAPELINI– BR – RIFS3– 0572
Corona Effect Emulation CAPELINI– BR – RIFS3– 0572
The Laboratory 48 km Artificial Transmission Line 48 Taps in the Transmission Line (4 taps/pi) CAPELINI– BR – RIFS3– 0572
The Laboratory CAPELINI– BR – RIFS3– 0572
CT as a Coupling Device CAPELINI– BR – RIFS3– 0572
CT as a Coupling Device CAPELINI– BR – RIFS3– 0572
AI: Neural Networks • Based on the Human Brain • Good for Pattern Recognition CAPELINI– BR – RIFS3– 0572
Software Development CAPELINI– BR – RIFS3– 0572
Software Development Test 1 • Location of the Damaged String in the Power Line • String: 1 Defective Insulator • 12 Taps of the Power Line (Step: 4 km) • Data Bank: 12000 Signals from the Damaged String CAPELINI– BR – RIFS3– 0572
Software Development Test 1 Tap 1 Tap 5 Tap 9 Tap 13 Tap 17 Tap 45 CAPELINI– BR – RIFS3– 0572
Software Development Test 1 CAPELINI– BR – RIFS3– 0572
Conclusion • CT as a Coupling Device → $ $ $ Saving • Neural Network → Very Powerful and Precise Tool • Data Bank Size → Direct Influence on the Results CAPELINI– BR – RIFS3– 0572
Thank You! CAPELINI– BR – RIFS3– 0572