Load Control for Frequency Response - A Literature Review
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.
Citation Formats
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 -
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
Details
Data from Feb 1, 2022
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Benjamin Anderson

