Load Control for Frequency Response - A Literature Review

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As electricity grids employ greater fractions of renewable energy, which introduce additional variability and uncertainty in the net-load, balancing electrical load and generation becomes more challenging. This paper reviews the literature documenting physical simulations and real systems that employ load control (LC) for frequency response and other grid services, which balance net load on the grid and prevent unwanted frequency excursions. Apart from academic and simulation studies, few sources exist on large-scale laboratory hardware testing or actual real-world systems that employ LC for frequency response, and we review them here. Four types of systems that we consider are: 1) Laboratory-based LC experiments, 2) Isolated microgrids that employ LC, 3) Larger grids that employ LC and 4) vehicle-to-grid (V2G) technology, using electric vehicles (EVs). In general, these systems have successfully used LC to meet their objectives, which are often keeping grid frequency within a required band. However, LC struggled to balance grid frequency in an isolated system powered by a single wind turbine, and V2G technology requires refinement in communication and control to provide optimal regulation that adheres to industry standards. As LC grows in the energy industry, we have three main recommendations: 1) encouraging system operators who use LC to publish system characteristics and lessons learned; 2) transitioning more LC theoretical/simulated systems to physical experiments, and physical experiments to real-world pilot systems; 3) demonstrating load control to support isolated, high-wind-contribution systems.

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TY - DATA AB - As electricity grids employ greater fractions of renewable energy, which introduce additional variability and uncertainty in the net-load, balancing electrical load and generation becomes more challenging. This paper reviews the literature documenting physical simulations and real systems that employ load control (LC) for frequency response and other grid services, which balance net load on the grid and prevent unwanted frequency excursions. Apart from academic and simulation studies, few sources exist on large-scale laboratory hardware testing or actual real-world systems that employ LC for frequency response, and we review them here. Four types of systems that we consider are: 1) Laboratory-based LC experiments, 2) Isolated microgrids that employ LC, 3) Larger grids that employ LC and 4) vehicle-to-grid (V2G) technology, using electric vehicles (EVs). In general, these systems have successfully used LC to meet their objectives, which are often keeping grid frequency within a required band. However, LC struggled to balance grid frequency in an isolated system powered by a single wind turbine, and V2G technology requires refinement in communication and control to provide optimal regulation that adheres to industry standards. As LC grows in the energy industry, we have three main recommendations: 1) encouraging system operators who use LC to publish system characteristics and lessons learned; 2) transitioning more LC theoretical/simulated systems to physical experiments, and physical experiments to real-world pilot systems; 3) demonstrating load control to support isolated, high-wind-contribution systems. AU - Anderson, Benjamin A2 - Reilly, Jim A3 - Krishnan, Venkat DB - C-MIX - Community Microgrid Information Exchange DP - Open EI | National Laboratory of the Rockies DO - 10.2172/1846936 KW - Thermal energy systems KW - TENs KW - District energy KW - Battery energy storage KW - Solar KW - Photovoltaics KW - PV KW - Diesel generators KW - Other liquid-fuel generators KW - Power plant controls KW - SCADA KW - Transportation electrification KW - Demand flexibility KW - Load management KW - Case studies KW - Performance LA - English DA - 2022/02/01 PY - 2022 PB - NLR T1 - Load Control for Frequency Response - A Literature Review UR - https://doi.org/10.2172/1846936 ER -
Export Citation to RIS
Anderson, Benjamin, et al. Load Control for Frequency Response - A Literature Review. NLR, 1 February, 2022, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.2172/1846936.
Anderson, B., Reilly, J., & Krishnan, V. (2022). Load Control for Frequency Response - A Literature Review. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://doi.org/10.2172/1846936
Anderson, Benjamin, Jim Reilly, and Venkat Krishnan. Load Control for Frequency Response - A Literature Review. NLR, February, 1, 2022. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.2172/1846936
@misc{CMIX_Dataset_197, title = {Load Control for Frequency Response - A Literature Review}, author = {Anderson, Benjamin and Reilly, Jim and Krishnan, Venkat }, abstractNote = {As electricity grids employ greater fractions of renewable energy, which introduce additional variability and uncertainty in the net-load, balancing electrical load and generation becomes more challenging. This paper reviews the literature documenting physical simulations and real systems that employ load control (LC) for frequency response and other grid services, which balance net load on the grid and prevent unwanted frequency excursions. Apart from academic and simulation studies, few sources exist on large-scale laboratory hardware testing or actual real-world systems that employ LC for frequency response, and we review them here. Four types of systems that we consider are: 1) Laboratory-based LC experiments, 2) Isolated microgrids that employ LC, 3) Larger grids that employ LC and 4) vehicle-to-grid (V2G) technology, using electric vehicles (EVs). In general, these systems have successfully used LC to meet their objectives, which are often keeping grid frequency within a required band. However, LC struggled to balance grid frequency in an isolated system powered by a single wind turbine, and V2G technology requires refinement in communication and control to provide optimal regulation that adheres to industry standards. As LC grows in the energy industry, we have three main recommendations: 1) encouraging system operators who use LC to publish system characteristics and lessons learned; 2) transitioning more LC theoretical/simulated systems to physical experiments, and physical experiments to real-world pilot systems; 3) demonstrating load control to support isolated, high-wind-contribution systems.}, url = {https://cmix.openei.org/submissions/197}, year = {2022}, howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://doi.org/10.2172/1846936}, note = {Accessed: 2026-10-11}, doi = {10.2172/1846936} }
https://dx.doi.org/10.2172/1846936

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Data from Feb 1, 2022

Last updated Mar 30, 2026

Submitted Jun 2, 2026

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NLR

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Benjamin Anderson

Authors

Benjamin Anderson

NLR

Jim Reilly

NLR

Venkat Krishnan

NLR
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