ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state

Abstract

As it is crucial to protect the transmission line from inevitable faults consequences, intelligent scheme must be employed for immediate fault detection and classification. The application of Artificial Neural Network (ANN) to detect the fault, identify it's section, and classify the fault on transmission lines with improved zone reach setting is presented in this article. The fundamental voltage and current magnitudes obtained through Discrete Fourier Transform (DFT) are specified as the inputs to the ANN. The relay is placed at section-2 which is the prime section to be protected. The ANN was trained and tested using diverse fault datasets; obtained from the simulation of different fault scenarios like different types of fault at varying fault inception angles, fault locations and fault resistances in a 400 kV, 216 km power transmission network of CSEB between Korba-Bhilai of Chhattisgarh state using MATLAB. The simulation outcomes illustrated that the entire shunt faults including forward and reverse fault, it's section and phase can be accurately identified within a half cycle time. The advantage of this scheme is to provide a major protection up to 99.5% of total line length using single end data and furthermore backup protection to the forward and reverse line sections. This routine protection system is properly discriminatory, rapid, robust, enormously reliable and incredibly responsive to isolate targeted fault.

A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

“…It can be observed that % error of the suggested method is lower than error of % earlier methods in [6,9,15,17,25,35,38], which is a feature over earlier methods. The reach setting in [4] and accuracy in [8] is 99.5% and 98.36%, respectively. The reach setting and accuracy of the FES is 99.892% and 99.983% respectively.…”

“…Furthermore, the two terminal data used in [23,24], whereas the suggested FES used source end data. Furthermore, past papers have published an ANN [4,6,17,25] and the suggested method designed…”

“…Much work has been done to focus how faults can affect the power system [1][2][3]. Numerous strategies have proposed to determine directional relaying in transmission lines [4][5][6]. Researchers have explained technique to classify and locate transmission line faults in [7][8][9].…”

“…A comprehensive study of protection methodology for transmission line is described in [18]. The methodologies in the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] did not provide the discrimination, classification, and location of shunt faults in double-circuit three-phase transmission (DC3PT) line.…”

“…In this paper, a new fault directional relaying, classification, and location procedure is introduced for DC3PT line based on FES and fundamental frequency component of currents. Unlike most of the past contributions in the literature [4][5][6][7][8][9], the proposed FES approach is independent of other end information. Summary of proposed work contributions is explained as:…”