The Impact of Energy Storage System Control Parameters on Frequency Regulation Strategies

The large-scale development of battery energy storage systems (BESS) has enhanced grid flexibility in power systems. From the perspective of power system planners, it is essential to consider the reliability of BESS to ensure stable grid operation amid a high reliance on renewable energy. Therefore, this paper investigates BESS models and dynamic parameters used in planning future grids from the viewpoint of power planners. By measuring output response data from BESS units of three companies, dynamic responses are converted into WECC second generic model parameters using optimization algorithms, allowing their use in power system analysis software. Subsequently, using Taiwan’s actual power system as the simulation background, N-1 simulations are conducted to explore the impact and benefits of BESS parameters when implementing frequency regulation strategies under two different BESS capacity specifications: 2 MW and 10 MW. In the 2 MW scenario, a comparison of the parameters from the three BESS units under frequency regulation strategies shows slight differences in the rise times of their output responses. However, for a 2 MW capacity, the frequency nadir in the power system remains consistently at 58.692 Hz. The simulation results based on the parameters defined in this research demonstrate the importance of using accurately measured and solved parameters in simulations. In the 10 MW scenario, the BESS capacity can offset the generator trip capacity, thereby revealing differences in response time between different parameters, with the frequency nadirs for the solved parameters being 59.755 Hz, 59.773 Hz, and 59.762 Hz, respectively.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2024-12-25
DOI
https://doi.org/10.1109/access.2024.3522657
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Energy Storage System Control Parameters on Frequency Regulation Strategies

Chia‐Ming Chang, Cheng‐Chien Kuo, Hong‐Chan Chang, Chun‐Chun Hung
IEEE Access
Microgrid Control and Optimization
article

The Impact of Energy Storage System Control Parameters on Frequency Regulation Strategies

Chia‐Ming Chang, Cheng‐Chien Kuo, Hong‐Chan Chang, Chun‐Chun Hung
article en

Abstract

The large-scale development of battery energy storage systems (BESS) has enhanced grid flexibility in power systems. From the perspective of power system planners, it is essential to consider the reliability of BESS to ensure stable grid operation amid a high reliance on renewable energy. Therefore, this paper investigates BESS models and dynamic parameters used in planning future grids from the viewpoint of power planners. By measuring output response data from BESS units of three companies, dynamic responses are converted into WECC second generic model parameters using optimization algorithms, allowing their use in power system analysis software. Subsequently, using Taiwan’s actual power system as the simulation background, N-1 simulations are conducted to explore the impact and benefits of BESS parameters when implementing frequency regulation strategies under two different BESS capacity specifications: 2 MW and 10 MW. In the 2 MW scenario, a comparison of the parameters from the three BESS units under frequency regulation strategies shows slight differences in the rise times of their output responses. However, for a 2 MW capacity, the frequency nadir in the power system remains consistently at 58.692 Hz. The simulation results based on the parameters defined in this research demonstrate the importance of using accurately measured and solved parameters in simulations. In the 10 MW scenario, the BESS capacity can offset the generator trip capacity, thereby revealing differences in response time between different parameters, with the frequency nadirs for the solved parameters being 59.755 Hz, 59.773 Hz, and 59.762 Hz, respectively.

IEEE AccessVol. 13
National Taiwan University of Science and Technology (TW)
Affordable and clean energy
Openalex Percentile: Top 71%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.