Optimal Placement of Virtual Inertia in Power Grids
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Abstract (arXiv)
A major transition in the operation of electric power grids is the replacement of synchronous machines by distributed generation connected via power electronic converters. The accompanying "loss of rotational inertia" and the fluctuations by renewable sources jeopardize the system stability, as testified by the ever-growing number of frequency incidents. As a remedy, numerous studies demonstrate how virtual inertia can be emulated through various devices, but few of them address the question of "where" to place this inertia. It is however strongly believed that the placement of virtual inertia hugely impacts system efficiency, as demonstrated by recent case studies. In this article, we carry out a comprehensive analysis in an attempt to address the optimal inertia placement problem. We consider a linear network-reduced power system model along with an H2 performance metric accounting for the network coherency. The optimal inertia placement problem turns out to be non-convex, yet we provide a set of closed-form global optimality results for particular problem instances as well as a computational approach resulting in locally optimal solutions. Further, we also consider the robust inertia allocation problem, wherein the optimization is carried out accounting for the worst-case disturbance location. We illustrate our results with a three-region power grid case study and compare our locally optimal solution with different placement heuristics in terms of different performance metrics.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Oct 2015.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1.
3 papers.
- 2021Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systemscited by 21
- 2024Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertiacited by 3
- 2022Revealing interactions between HVDC cross-area flows and frequency stability with explainable AIcited by 0
- 2024Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia27 Aug 2024
- 2022Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI22 Apr 2022
- 2021Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems12 Feb 2021