Condition monitoring of distribution line insulators using discrete s-transform

• Main Authors: Chandra, Karthik B, Reddy, M Jaya Bharata, Mohanta, D K
• Format: Conference Proceeding
• Language: English
• Subjects: Adaptive neuro-fuzzy inference system (ANFIS); Automatic control; Condition monitoring; Control systems; Discrete orthogonal S-Transform (DOST); Distribution automation system (DAS); Information technology; Insulation; k-means clustering; Phasor measurement units; Power system protection; Power system reliability; Substation monitoring system (SMS); Substations; Video surveillance; Wide area protection (WAP)
• DOI: 10.1109/EEEIC.2010.5489931

The phenomenal growth of the distribution network even to the remote areas is leading the system to a stressed state. Also in the face of possible power system component failures diminishing reliability has become a serious concern for the future. New methodology termed wide area protection (WAP) systems employing advanced information technology has been proposed in recent years. The development of substation monitoring systems (SMS) which is an integral part of WAP, with enriched features has become one of the potential areas of research. The proposed scheme condition monitoring of insulators is gaining importance in recent years since a cracked insulator causes disruption of power incurring heavy loss to the power system utilities. The proposed approach is envisioned to condition monitoring of insulators using video surveillance (VS) in contrast to the conventional manual on-site detection. It employs discrete orthogonal s-transform (DOST) and adaptive neuro-fuzzy inference system (ANFIS) to obtain the condition of the insulators.