Intelligent fault analysis of transmission line using phasor measurement unit incorporating auto-reclosure protection scheme

Author:

Swain KunjabihariORCID,Cherukuri MurthyORCID

Abstract

AbstractThe power system stability and reliability are stimulated by the faults on the transmission line. Many researchers have explored the performance of the transmission system under various kinds of faults. Specifically, the arrival of expeditious and effective data acquisition systems with high rate of sampling has set down the foundation for successful real-time monitoring. Using the LabVIEW and the data acquisition system’s of National Instruments (NI), virtual systems have been developed for obtaining optimal paradigmatic data with appropriate characterization and quality transmission. The primary objective of the work is to perceive and comprehend the transmission line faults with the aid of synchronized phasor measurements obtained from the phasor measurement unit (PMU) as well as protecting the system using auto-reclosing signal. The developed algorithms include phaselet coefficients for perception as well as comprehension. In order to increase the accuracy, particle swarm optimized extreme learning machine technique has also been used for comprehension. A protection scheme is employed using auto-reclosing to minimize the power loss and quick reconnection the power line in case of temporary fault. Developed algorithms have been validated on a practical laboratory transmission line using NI PMU. As the LabVIEW platform has been used for simulations, it is composed of visual displays such that the system operator can efficiently perform the planning and control decisions.

Funder

Science and Engineering Research Board, India

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Error Tracking Approach for Transmission Lines Fault Detection and Classification;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08

2. Synchrosqueezed Wavelet transform Based Power Quality Disturbance Detection and Monitoring of Solar Integrated Micro-Grid;2023 International Conference on Power Electronics and Energy (ICPEE);2023-01-03

3. Machine Learning-Based Approaches for Transmission Line Fault Detection Using Synchrophasor Measurements in a Smart Grid;Smart Grid 3.0;2023

4. A deep long Short-Term memory based scheme for Auto-Reclosing of power transmission lines;International Journal of Electrical Power & Energy Systems;2022-10

5. Analysis of Transmission-line Faults and Auto Recloser Based Protection;2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2022-02-11

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