Phasor Measurement Applications in Power Systems

Summary

Phasor measurement units (PMUs) have transformed the monitoring and control of electrical grids by providing precise, time-synchronised measurements of voltage and current phasors. These devices capture both magnitude and phase angle at rates far exceeding traditional supervisory systems, enabling real-time insight into system dynamics. Applications span from wide-area monitoring and dynamic state estimation to fault localisation, stability assessment and adaptive protection schemes. By deploying networks of PMUs, operators can track inter-area oscillations, assess grid resilience under high renewable penetration, and implement corrective control with minimal latency. The integration of phasor data into energy management systems supports predictive analytics, facilitates efficient restoration after disturbances and underpins next-generation grids with distributed energy resources and microgrids.

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Phasor Measurement Applications in Power Systems publication trend

The graph below shows the total number of articles in phasor measurement applications in power systems across all publications each year (not limited to Nature Index journals).

Technical terms

Phasor Measurement Unit (PMU): A device that measures the magnitude and phase angle of electrical quantities with precise time-stamp, enabling synchronous data collection across the grid.

Synchrophasor: A time-synchronised representation of an AC waveform’s amplitude and phase, referenced to a common time source such as GPS.

Rate of Change of Frequency (RoCoF): The time derivative of system frequency, used to detect rapid dynamic events and support inertia estimation.

Dynamic Phasor: A phasor concept extended to time-varying amplitude and phase, allowing accurate tracking of non-stationary signals.

Wide-Area Monitoring System (WAMS): An interconnected network of PMUs and communication infrastructure providing system-wide visibility and situational awareness.

References

  1. Tracking power system events with accuracy-based PMU adaptive reporting rate. International Journal of Electrical Power & Energy Systems (2023).
  2. A Review of Dynamic Phasor Estimation by Non-Linear Kalman Filters. IEEE Access (2022).
  3. The Accelerate Estimation Method of Power System Parameters in Static and Dynamic Processes. IEEE Access (2022).

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