Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint

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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 -
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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

Authors

Bala Kameshwar Poolla

NLR

Yashen Lin

NLR

Andrey Bernstein

NLR

Enrique Mallada

John Hopkins University

Dominic Gross

University of Wisconsin-Madison
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