8 papers
Adaptive Grid-Mode-Aware Hybrid Energy Storage Control for AI Data Center Oscillation Mitigation
Quang Manh Hoang, Sina Mohammadi, Phi Long Nguyen +2
Oscillatory power components in AI data-center demand can produce large frequency deviations when they coincide with vulnerable grid modes. Mode-aware hybrid energy storage systems…
Conflict-Aware Impedance-Sensitivity-Based Tuning for Multi-Mode Damping Enhancement
Quang Manh Hoang, Xuan Thanh Trinh, Sina Zarrabian +2
Impedance-based eigenvalue sensitivity provides a practical way to relate converter parameters to poorly damped system modes, but tuning becomes nontrivial when one parameter impro…
Grid-Mode-Aware AI Data Center Power Smoothing via Bayesian-Optimized Hybrid Energy Storage System
Sina Mohammadi, Quang Manh Hoang, Marcus Chen I Wada +2
AI data centers exhibit highly stochastic, volatile power demands from intensive workloads and synchronized GPU training cycles, which can excite grid natural frequencies and threa…
FedAvgIm: Federated Learning for Multi-Site Impedance Identification of Inverter-Based Resources
Quang Manh Hoang, Guilherme Vieira Hollweg, Akhtar Hussain +2
With the increasing integration of inverter-based resources (IBRs) into power systems, assessing small-signal interaction stability has become essential. Impedance/admittance model…
Optimal Demand Response-Based Energy Management for Campus Buildings with Battery Energy Storage Systems: A Case Study of the ELB Building
Ali Beidoun, Quang Manh Hoang, Guilherme Vieira Hollweg +1
Buildings account for a significant portion of global electricity consumption, making demand response (DR) an effective strategy for reducing energy costs and improving grid flexib…
Scalable Impedance Identification of Diverse IBRs via Cluster-Specialized Neural Networks
Quang Manh Hoang, Guilherme Vieira Hollweg, Bang Nguyen +3
Modern machine learning approaches typically identify the impedance of a single inverter-based resource (IBR) and assume similar impedance characteristics across devices. In modern…
ANN-Based Grid Impedance Estimation for Adaptive Gain Scheduling in VSG Under Dynamic Grid Conditions
Quang-Manh Hoang, Van Nam Nguyen, Taehyung Kim +3
In contrast to grid-following inverters, Virtual Synchronous Generators (VSGs) perform well under weak grid conditions but may become unstable when the grid is strong. Grid strengt…
PSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame
Quang-Manh Hoang, Guilherme Vieira Hollweg, Akhtar Hussain +3
The Grid-Forming Inverter (GFMI) is an emerging topic that is attracting significant attention from both academic and industrial communities, particularly in the area of control de…