5533452
doi
10.35940/ijsce.F3413.0710120
oai:zenodo.org:5533452
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Publisher
Thomas Dowd
Department of Physics, Marquette University, Milwaukee, USA.
Application of PMU on Fault Detection and Hybrid State Estimations
Andrew Lockie
Department of Physics, Marquette University, Milwaukee, USA.
issn:2231-2307
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fault detection, Hybrid state estimation, PMU data, Power systems, SCADA. I
<p>It is feasible to record and monitor the power systems’ dynamic behavior with the extensive deployment of phasor measurement units (PMU). PMU provides high-precision data in which has shown applications in many fields. This study gives a comprehensive prospective of the application of PMU in fault detection. Basically, this paper evaluates the application of this data for fault detection. In which, it is crucial to detect the faults at their early stage so remedial reaction can be taken to reduce the potential damage. Second, the incorporation of the PMU data into state estimation algorithms to achieve more stable and accurate estimation algorithm. It is demonstrated, incorporating the PMU data will increase the observability of the system, however more comprehensive algorithm to monitor the system and detect the faults is needed.</p>
Zenodo
2020-07-30
info:eu-repo/semantics/article
5533451
1632836908.132693
412512
md5:f3a3dc61d043babf37d0b14078e6d50e
https://zenodo.org/records/5533452/files/F3413039620.pdf
public
2231-2307
Is cited by
issn
International Journal of Soft Computing and Engineering (IJSCE)
10
1
26-30
2020-07-30