Open AccessA Novel Scheme of Multiple Identification of Faults in the Transmission Line
Author(s) -
Purnima Jaiswal,
M. A. Ansari,
Nidhi Singh Pal,
Neeraj Kumar Singh,
Mushtaq Najeeb
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6411.079920
Subject(s) - computer science , electric power system , ripple , matlab , waveform , voltage sag , electric power transmission , transient (computer programming) , transmission line , fault (geology) , voltage , electronic engineering , control theory (sociology) , power (physics) , engineering , electrical engineering , power quality , artificial intelligence , telecommunications , physics , control (management) , quantum mechanics , seismology , geology , operating system
Recognition and arrangement of current-voltage, power fluctuations are critical functions for the safety of the power system (PS). Many perturbations of power quality (PQ) are unpredictable and ephemeral, and the demand for voltage and current recognition and arrangement is confirmed. By using Fast Fourier transform, expert systems, and neural networks, certain intelligent system technologies dominate fault analysis. As expected, there are five types of issues that include sag and swell, ripple, transient fluctuation, interruption and natural waveform. In this paper, we study the transmission line faults for voltage drop, voltage swell, and transient voltage. Power supply and traffic transmission leakage have been major problems for electricity providers and consumers. Much of the disturbance is non-stationary and intermittent, needing specialized methods and techniques for PQ disturbance research. This article provides a full collection of MATLAB / Simulink models to simulate different energy efficiency disturbances. This paper implements power quality disturbance in the model Matlab/ Simulink. The model provided can be used to simulate various disturbances of energy quality and waveforms for analysis and research into power quality, and to help to develop educational programs and understand the energy quality. This would concentrate on what are PQ problems and current approaches to evaluate and classify such problems.