Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint
We consider the problem of controlling the frequency response of weakly-coupled multi-machine multi-inverter low-inertia power systems via grid-forming inverter-based resources (IBRs). In contrast to existing methods, our approach relies on dividing the larger system into multiple strongly-coupled subsystems, without ignoring either the underlying network or approximating the subsystem response as an aggregate harmonic mean model. Rather, through a structured clustering and recursive dynamic shaping approach, the frequency response of the overall system to load perturbations is shaped appropriately. We demonstrate the proposed approach for a three-node triangular configuration and a small-scale radial network. Furthermore, for small-scale radial microgrids, we demonstrate the ability of IBRs to tune the effective transfer functions of synchronous machines. This enables us to relax the uniform turbine time-constant assumptions and widen the scope of existing synchronization results for proportionally heterogeneous machines.
Citation Formats
TY - DATA
AB - We consider the problem of controlling the frequency response of weakly-coupled multi-machine multi-inverter low-inertia power systems via grid-forming inverter-based resources (IBRs). In contrast to existing methods, our approach relies on dividing the larger system into multiple strongly-coupled subsystems, without ignoring either the underlying network or approximating the subsystem response as an aggregate harmonic mean model. Rather, through a structured clustering and recursive dynamic shaping approach, the frequency response of the overall system to load perturbations is shaped appropriately. We demonstrate the proposed approach for a three-node triangular configuration and a small-scale radial network. Furthermore, for small-scale radial microgrids, we demonstrate the ability of IBRs to tune the effective transfer functions of synchronous machines. This enables us to relax the uniform turbine time-constant assumptions and widen the scope of existing synchronization results for proportionally heterogeneous machines.
AU - Poolla, Bala Kameshwar
A2 - Lin, Yashen
A3 - Bernstein, Andrey
A4 - Mallada, Enrique
A5 - Gross, Dominic
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Power electronics and inverters
KW - Power electronics
KW - Inverters
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Standards
KW - Interconnection
KW - Protection
KW - Case studies
KW - Performance
KW - Power plant controls
KW - SCADA
LA - English
DA - 2024/07/01
PY - 2024
PB - NLR
T1 - Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint
UR - https://cmix.openei.org/submissions/79
ER -
Poolla, Bala Kameshwar, et al. Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint. NLR, 1 July, 2024, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/79.
Poolla, B., Lin, Y., Bernstein, A., Mallada, E., & Gross, D. (2024). Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://cmix.openei.org/submissions/79
Poolla, Bala Kameshwar, Yashen Lin, Andrey Bernstein, Enrique Mallada, and Dominic Gross. Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint. NLR, July, 1, 2024. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/79
@misc{CMIX_Dataset_79,
title = {Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint},
author = {Poolla, Bala Kameshwar and Lin, Yashen and Bernstein, Andrey and Mallada, Enrique and Gross, Dominic},
abstractNote = {We consider the problem of controlling the frequency response of weakly-coupled multi-machine multi-inverter low-inertia power systems via grid-forming inverter-based resources (IBRs). In contrast to existing methods, our approach relies on dividing the larger system into multiple strongly-coupled subsystems, without ignoring either the underlying network or approximating the subsystem response as an aggregate harmonic mean model. Rather, through a structured clustering and recursive dynamic shaping approach, the frequency response of the overall system to load perturbations is shaped appropriately. We demonstrate the proposed approach for a three-node triangular configuration and a small-scale radial network. Furthermore, for small-scale radial microgrids, we demonstrate the ability of IBRs to tune the effective transfer functions of synchronous machines. This enables us to relax the uniform turbine time-constant assumptions and widen the scope of existing synchronization results for proportionally heterogeneous machines.},
url = {https://cmix.openei.org/submissions/79},
year = {2024},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://cmix.openei.org/submissions/79},
note = {Accessed: 2026-10-11}
}
Details
Data from Jul 1, 2024
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Bala Kameshwar Poolla

