
Situational Awareness Enhancement in Transmission Lines using NI Based PMU
Author(s) -
Kunjabihari Swain,
S.S. Mahato,
M. Vamshi Krishna,
Murthy Cherukuri*
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.c8058.019320
Subject(s) - situation awareness , phasor , fault (geology) , transmission (telecommunications) , computer science , electric power transmission , support vector machine , electric power system , fault detection and isolation , transmission line , real time computing , power (physics) , reliability engineering , control engineering , engineering , artificial intelligence , electrical engineering , telecommunications , actuator , physics , quantum mechanics , seismology , geology , aerospace engineering
Phasor Measurement Units (PMUs) are becoming prominent in enhancing the situational awareness in wide area power system monitoring, thereby playing a vital role in its protection and control. This paper focuses on enhancing the situational awareness of transmission line using National Instruments (NI) based PMU. The data measured by the virtual PMU is used for fault detection and fault classification. The detection and the classification in the LabVIEW platform are performed using the Fourier Transform and support vector machines (SVMs) respectively. The proposed methodology has been applied on a laboratory set up consisting of transmission line, three phase load and an NI based PMU. The enhanced situational awareness in the detection and classification of transmission line faults helps in restoration of the transmission line as quickly as possible and trigger wide area control actions to maintain power system stability against the disturbances created by a fault.