Gaurav Kapoor

Bio: Gaurav Kapoor is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Fault (power engineering) & Fault detection and isolation. The author has an hindex of 8, co-authored 43 publications receiving 169 citations.

Detection of Fault in Series Capacitor Compensated Double Circuit Transmission Line using Wavelet Transform

Abstract: This paper presents wavelet transform based fault detection scheme for the protection of series capacitor compensated double circuit transmission lines. Three phase current of both circuits measured at relay location are used for the detection of fault. Three phase current of both circuits are processed using Daubechies-4 mother wavelet up to level-1. Performance of wavelet transform is tested for inter-circuit faults, cross-country faults, faults at boundary locations, fault resistance variation, ground resistance variation, fault inception time variation and fault location variation. Accuracy of wavelet transform scheme is 100%.

Fault Detection on Series Capacitor Compensated Transmission Line using Walsh Hadamard Transform

Abstract: In this paper, a fault detection scheme for series capacitor compensated three phase transmission lines is proposed using fast Walsh hadamard transform. The proposed scheme uses only single end measured fault current data. The proposed scheme has been tested for numerous shunt faults with variation in different parameters like fault type, fault location, fault resistance, fault inception time and ground resistance. The simulation results authenticate the accuracy and effectiveness of proposed scheme.

Fault Detection in Wind Farm Integrated Series Capacitor Compensated Transmission Line Using Hilbert Huang Transform

Abstract: In this paper, a fault detection and faulty phase identification technique is proposed for the protection of series capacitor compensated three phase transmission line connected with wind energy source using Hilbert-huang transform. The proposed scheme makes use of single end measured fault current data. The proposed scheme has been tested for various cases of faults with varying different fault parameters like fault type, fault location, fault resistance, fault inception time and ground resistance. The test results validate the accuracy and usefulness of proposed scheme.

Six Phase Transmission Line Boundary Protection Using Mathematical Morphology

Abstract: In this paper, mathematical morphology based fault detection scheme is proposed for the detection of close-in and remote-end six phase transmission line boundary faults. The proposed method makes use of fault current samples rescued at the relay location for a variety of boundary faults at different operating conditions of a 400 kV, 50 Hz and 200 km long six phase power transmission line. The performance of mathematical morphology based fault detection scheme is examined and evaluated for various types of boundary faults with fault parameters variation.

Detection of Fault and Identification of Faulty Phase in Series Capacitor Compensated Transmission Line Using Wavelet Transform

Abstract: In this study, wavelet transform is utilized for fault detection and faulty phase identification in a series capacitor compensated three phase transmission line. The series capacitor compensation originates issues in protection schemes of the three phase transmission lines. The proposed technique has been broadly tested using the MATLAB/ SIMULINK test system of a 400 kV, 50 Hz and 300 km long series capacitor compensated three phase transmission line. The three phase currents recorded at only one terminal of the transmission line are used to evaluate wavelet coefficients. Daubechies-5 wavelet is used for the processing of the three phase current signals. A broad range of test studies were carried out for numerous types of shunt faults by varying various fault parameters. Moreover, the proposed technique is also robust to transforming and cross-country faults. The simulation results of the proposed work shows that the proposed technique correctly detects the faults and identifies the faulty phase.

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

Abstract: Transmission lines are one of the most widely distributed engineering systems meant for transmitting bulk amount of power from one corner of a country to the farthest most in the other directions. The expansion of the lines over different terrains and geographic locations makes these most vulnerable to different kinds of atmospheric calamities which more often develops faults in line. It is imperative to remove the faulty line at the earliest to restrict undue outflow of bulk power through the faulted point as well as restore system stability earliest to resume normal power flow operation. Here lays the importance of having a robust fault identification, classification and localization algorithm which would be successfully able to drive as well as actuate the digital relaying system. Researchers have worked out several methodologies in developing improved power system protection algorithms which would be able to serve to eliminate faults immediately on occurrence of the same. A brief yet exhaustive review has been presented in this article including the several methodologies adopted by numerous researchers for developing effective fault diagnosis schemes, mentioning about the highlights as well as the shortcoming of each of the methods. This compact and effective survey of literature works would help researchers to take up appropriate techniques for different purposes of transmission line fault analysis.

Adaptive Linear Feedback Energy-Based Backstepping and PID Control Strategy for PMSG Driven by a Grid-Connected Wind Turbine

Abstract: Wind conversion system-based permanent magnet synchronous generator (PMSG) controller design is still a challenging work due to the PMSG nonlinear operation conditions and external disturbances. This work proposes a passivity-based control (PBC) associated with backstepping technique which ensures asymptotic convergence to the maximum power extraction, and stability of the closed-loop system that allows the PMSG to operate at an optimal speed and robustness of the system dynamics. The studied conversion system is constituted by a wind turbine, PMSG and buck-to-buck converter with DC-link voltage connected to the grid. The proposed method is used to control the generator-side converter, while a proportional–integral (PI) controller is used in the grid-side, to transmit only the active power to the distribution network. The objectives are achieved, and the reactive power and DC voltage quickly track their set values. The effectiveness of the proposed strategy is illustrated by numerical simulation results under MATLAB/Simulink.

Fault Location in the Transmission Network Using a Discrete Wavelet Transform

Abstract: In this paper, a discrete wavelet transform (DWT) has been utilized for processing the current signal in order to fault-location evaluation in network transmission using pre-fault and post-fault current data of both the terminals of a transmission line. In fact, the basis of the work is based on the information recorded before the fault at the end of the line and after the fault at the beginning of the line received by the relay. Obviously, high-frequency components are created at the time of the fault, which is a way of extracting these components using a wavelet transform. In this design, characteristics extorted from synchronous recording of three-phase current signals at the two terminals using DWT. In the following, can accurately estimate the exact location of the fault in the transmission network by extraction and subtracting of the minimum and maximum components of the DWT approximate and detail components of the signal before and after the fault (pre-fault and post-fault).The simulation results reveal that the minimum and maximum extracted components are highly dependent on the fault resistance. Hence, due to increase the fault resistance, the level of signal decomposition has to be increased so that the algorithm is not compromised. Eventually, the proposed method is tested on the transmission network of 735 kV at different distances of the transmission line, which indicates that the proposed algorithm can accurately estimate the fault distance, depending on the type of fault (including low-impedance and high-impedance fault) by changing the signal decomposition level.