Dynamic Droop Control in Low-inertia Power Systems
Yan Jiang, Richard Pates, Enrique Mallada

TL;DR
This paper critically analyzes traditional inverter-based frequency control methods in low-inertia power systems, revealing their limitations and proposing a novel dynamic droop controller (iDroop) that improves performance trade-offs.
Contribution
It introduces iDroop, a new control strategy that overcomes the limitations of droop control and virtual inertia, with a systematic tuning method for various performance objectives.
Findings
iDroop achieves high noise rejection and fast synchronization.
Traditional DC cannot improve frequency response without higher steady-state effort.
VI introduces large frequency variance under measurement noise.
Abstract
A widely embraced approach to mitigate the dynamic degradation in low-inertia power systems is to mimic generation response using grid-connected inverters to restore the grid's stiffness. In this paper, we seek to challenge this approach and advocate for a principled design based on a systematic analysis of the performance trade-offs of inverter-based frequency control. With this aim, we perform a qualitative and quantitative study comparing the effect of conventional control strategies --droop control (DC) and virtual inertia (VI)-- on several performance metrics induced by and signal norms. By extending a recently proposed modal decomposition method, we capture the effect of step and stochastic power disturbances, and frequency measurement noise, on the overall transient and steady-state behavior of the system. Our analysis unveils several…
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Taxonomy
TopicsMicrogrid Control and Optimization · Power System Optimization and Stability · Wind Turbine Control Systems
