Application of PMU on Fault Detection and Hybrid State Estimations
Andrew Lockie1, Thomas Dowd2

1Andrew Lockie*, Department of Physics, Marquette University, Milwaukee, USA.
2Thomas Dowd, Department of Physics, Marquette University, Milwaukee, USA. 

Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 26-30 | Volume-10 Issue-1, July 2020. | Retrieval Number: F3413039620/2020©BEIESP | DOI: 10.35940/ijsce.F3413.0710120
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Abstract: 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.
Keywords: Fault detection, Hybrid state estimation, PMU data, Power systems, SCADA.