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Vikram Raju, G., Venkata Srikanth, N.. (1403). Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform. سامانه مدیریت نشریات علمی, 12(4), 337-351. doi: 10.22098/joape.2023.11690.1874
G. Vikram Raju; N. Venkata Srikanth. "Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform". سامانه مدیریت نشریات علمی, 12, 4, 1403, 337-351. doi: 10.22098/joape.2023.11690.1874
Vikram Raju, G., Venkata Srikanth, N.. (1403). 'Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform', سامانه مدیریت نشریات علمی, 12(4), pp. 337-351. doi: 10.22098/joape.2023.11690.1874
Vikram Raju, G., Venkata Srikanth, N.. Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform. سامانه مدیریت نشریات علمی, 1403; 12(4): 337-351. doi: 10.22098/joape.2023.11690.1874

Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform

Journal of Operation and Automation in Power Engineering
مقاله 6، دوره 12، شماره 4، اسفند 2024، صفحه 337-351    اصل مقاله (1.84 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.11690.1874
نویسندگان
G. Vikram Raju* ؛ N. Venkata Srikanth
Department of Electrical Engineering, National Institute of Technology, Warangal, India
چکیده
The enhanced power transfer capability is possible with the six-phase transmission system but it did not gain popularity due to the lack of a proper protection scheme to secure the line from 120 types of different possible short circuit faults. This work presents a protection scheme with discrete wavelet transform (db4 mother wavelet) and an artificial neural network (ANN). The Levenberg-Marquardt algorithm is used for training the ANNs. This protection scheme requires only the pre-processed current information of the sending end bus. For fault detection and classification of all 120 fault types, a single ANN module is implemented with six inputs and six outputs. For fault location estimation in each phase, 11 ANN modules with six outputs are implemented, one for each of the 11 types of combination of faults. The MATLAB/ SIMULINK simulation results of the proposed protection technique implemented on the six-phase Allegheny power transmission system show that it is effective and efficient in detecting and classifying all the faults with varying fault parameters with an accuracy of 99.76%. It is found that the performance of the fault location estimation modules is better with the training data and moderate with the testing data.
کلیدواژه‌ها
Artificial neural network؛ Discrete wavelet transform؛ Fault detection/ classification؛ Fault location estimation؛ Six-phase transmission
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