Locating Faults in Distribution Systems in the Presence of Distributed Generation using Machine Learning Techniques

A novel data-based method is proposed to solve a multi-step fault classification and identification problem in distribution systems. Several machine learning techniques such as artificial neural network (ANN), support vector machine (SVM), bagged tree (BT), and adaptive boosting (AdaBoost) are utili...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE International Symposium on Power Electronics for Distributed Generation Systems (Online) S. 1 - 6
Hauptverfasser:	Mesbah Maruf, H M, Muller, Felicitas, Hassan, Md. Shakawat, Chowdhury, Badrul
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2018
Schlagworte:	Adaboost artificial neural network Artificial neural networks Circuit faults Fault location high impedance faults Impedance Machine learning support vector machine Support vector machines
ISSN:	2329-5767
Online-Zugang:	Volltext
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