A Novel Relaying Approach for Performance Enhancement in a STATCOM Integrated Wind-Fed Transmission Line Using Single-Terminal Measurement

Abstract

This paper presents the novel relaying algorithm for fault detection in static synchronous compensator integrated transmission line including wind firm. The scheme is used for single-terminal data measurement. The faulty current signals are retrieved from single end terminal of the transmission line through the current transformer placed at sending end and process through DWT to obtain the spectral energy of the current signals. The spectral energy of the current signal obtained from the sending end using DWT is fed to the input of artificial neural network (ANN)-based fault detector for evaluating fault detection. The combined approach of DWT-ANN is used to detect and classify the fault. The proposed scheme uses the faulty current signal from single-terminal data. So, the requirement of communication link is not needed and it involves less cost. Another merit of the proposed scheme is that the fault detection time is reduced when DWT-ANN approach is used as compared to other existing schemes. In addition to this, the scheme works fine to detect the fault with the parameter variation of the line such as source impedance, fault inception angle, wind speed, fault location, fault type, fault resistance and high-resistance fault. It senses the fault in an accurate manner and classifies the fault at any parameter variation of the line. The fault detection time (delay time) remains within a half-cycle period of time (10 ms). The overall performance of the scheme is found to be nearly 99.98%. Therefore, the scheme is very effective, accurate and simple to understand the fault detection and classification of the line.