Use of PMU-Based Framework to Improve Power System Resilience and Reliability

Use of PMU-Based Framework to Improve Power System Resilience and Reliability

bad data detection

Current measurement

Kalman filtering

Kalman filters

Linear State Estimation

observability analysis

Phasor measurement units

Phasor measurement units (PMUs)

PMU-based state estimator case

Power system reliability

Real-time systems

Reliability

Voltage measurement

This paper describes the implementation of synchrophasor-based analysis as a part of Peak Reliability Synchrophasor Project (PRSP). A real-time situational awareness framework that utilizes Phasor Measurement Unit (PMU) data was demonstrated to improve resilience of the grid and enhance its reliability. The real-time analysis framework presented in this paper includes linear state estimation, bad data detection and conditioning, observability analysis, creation of PMU-based state estimator cases, and performing advanced analysis using these cases. This paper discusses the implementation of the ROSE application as a part of the PRSP project, called PMU-ROSE.

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M. Vaiman

V. Energy

M. Vaiman

2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

2018

conferencePaper