<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In recent years, battery energy storage has garnered increasing attention in the frequency regulation field due to its rapid and precise output characteristics. The focus of this paper is on the control strategy for battery energy storage that is involved in primary frequency regulation and addresses the coordination control issues of different storage units when implemented on a large scale. A control method is proposed that considers the consistency of the State of Charge (SOC) in battery energy storage, which is involved in primary frequency regulation. The control of the battery energy storage system is divided into upper-level and lower-level control. The upper-level control uses model predictive control to obtain the total frequency regulation power of the energy storage station. The lower-level control allocates the corresponding power based on the capacity of each battery energy storage unit. It introduces a proportional integral adjustment term related to the average SOC to achieve SOC consistency control for each unit. Simulation results demonstrate that, regardless of whether the capacities of various storage units are identical, the proposed method achieves good frequency regulation performance, restores SOC to the ideal range, and ensures SOC consistency among different storage units. This approach aids the efficient and safe operation of battery energy storage systems.</p>
</abstract>

In recent years, battery energy storage has garnered increasing attention in the frequency regulation field due to its rapid and precise output characteristics. The focus of this paper is on the control strategy for battery energy storage that is involved in primary frequency regulation and addresses the coordination control issues of different storage units when implemented on a large scale. A control method is proposed that considers the consistency of the State of Charge (SOC) in battery energy storage, which is involved in primary frequency regulation. The control of the battery energy storage system is divided into upper-level and lower-level control. The upper-level control uses model predictive control to obtain the total frequency regulation power of the energy storage station. The lower-level control allocates the corresponding power based on the capacity of each battery energy storage unit. It introduces a proportional integral adjustment term related to the average SOC to achieve SOC consistency control for each unit. Simulation results demonstrate that, regardless of whether the capacities of various storage units are identical, the proposed method achieves good frequency regulation performance, restores SOC to the ideal range, and ensures SOC consistency among different storage units. This approach aids the efficient and safe operation of battery energy storage systems.

Battery Energy Storage Participation in Primary Frequency Regulation Considering SOC Consistency

College of Electrical Engineering and New Energy

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In recent years, battery energy storage has garnered increasing attention in the frequency regulation field due to its rapid and precise output...

Battery Energy Storage Participation in Primary Frequency Regulation Considering SOC Consistency

Published Online: Jul 09, 2024

Page range: -

Received: Mar 18, 2024

Accepted: Jun 12, 2024

DOI: https://doi.org/10.2478/amns-2024-1823

Keywords
Battery energy storage, Primary frequency regulation, Model predictive control, Consistency Control

© 2024 Shichun Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Battery Energy Storage Participation in Primary Frequency Regulation Considering SOC Consistency

Published Online: Jul 09, 2024

Page range: -

Received: Mar 18, 2024

Accepted: Jun 12, 2024

DOI: https://doi.org/10.2478/amns-2024-1823

KeywordsBattery energy storage, Primary frequency regulation, Model predictive control, Consistency Control

© 2024 Shichun Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Battery energy storage, Primary frequency regulation, Model predictive control, Consistency Control