Time domain complete protection scheme for parallel

• Main Authors: Aleena Swetapadma, Anamika Yadav
• Format: Article
• Language: English
• Published: Elsevier 2016-03-01
• Series: Ain Shams Engineering Journal
• Subjects: Artificial neural network; Fault detection; Section identification; Fault classification; Fault location; Primary and backup protection
• Online Access: http://www.sciencedirect.com/science/article/pii/S2090447915001963

In this paper, time domain relaying schemes for complete protection of parallel transmission lines using wavelet and artificial neural network (ANN) are presented. Four different ANN networks are designed for detection of the fault, fault section identification, classification of fault and location of fault in time domain. The 3rd level approximate discrete wavelet transform (DWT) coefficients of signals of one end are used as input to ANN network. Proposed method is tested with varying fault location, inception angle, fault type and fault resistance. The test results show that the fault is detected and located within 5 ms time accurately. This scheme offers primary protection as well as backup protection to the lines.