Quantify Change of Inertia and Its Distribution in High Renewable Power Grids Using PMU
Shutang You

TL;DR
This paper introduces a non-invasive method using PMU measurements to quantify and analyze the distribution of inertia in high renewable power grids, aiding primary frequency response management.
Contribution
It presents a novel approach leveraging electromechanical wave footprints to identify inertia distribution changes in renewable-rich power systems.
Findings
Validated with actual measurements and dynamic models
Effectively detects inertia distribution changes
Provides a new tool for system inertia awareness
Abstract
This paper proposed an approach to identify the change of inertia distribution in high renewable power systems. Using the footprints of electromechanical wave propagation at the distribution level, this approach provides a new and non-invasive way to aware the system inertia distribution for primary frequency response. Actual measurements and high renewable dynamic models validated effectiveness of the approach.
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Taxonomy
TopicsVibration and Dynamic Analysis · Power System Optimization and Stability · Real-time simulation and control systems
MethodsAttentive Walk-Aggregating Graph Neural Network
