Stability Analysis of Multiple Grid-Connected Battery Energy Storage Systems with A Distributed Cooperative Control
Battery Energy Storage System (BESS) plays a crucial role in the integration of renewable energy by balancing supply and demand, providing frequency regulation, and supporting voltage stability. However, for multiple grid-connected BESS systems, traditional power control methods, which focus on the dynamics of individual BESS, often neglect the interactions between BESSs. It results in idle power capacity and slow response times during transient events. To address these issues, a distributed cooperative control strategy based on a consensus algorithm has been proposed to improve the overall system's response speed and ensure steady-state power sharing according to the state of charge (SOC). However, few researchers have conducted the stability analysis of multiple BESSs under the distributed control scheme, and the interaction has not been thoroughly investigated. This paper addresses this gap by developing an impedance model for multiple BESSs by incorporating distributed cooperative control. With the impedance model proposed, the superiority of the BESSs with distributed cooperative control is demonstrated through a stability analysis comparison with traditional power control methods. Additionally, the study examines the impact of distributed cooperative control parameters and communication faults on the system stability. Simulations are conducted to validate the developed impedance model and the stability analysis results.
Authors
- Yuntao Chen
- Wentian Li (ORCID: https://orcid.org/0000-0003-1155-110X)
- Xianxian Zhao (ORCID: https://orcid.org/0000-0002-4158-1564)
- Xia Chen (ORCID: https://orcid.org/0000-0003-0186-7821)
- Yin Chen (ORCID: https://orcid.org/0000-0002-3351-5065)
Institutions
- University College Dublin (IE)
- University of Strathclyde (GB)
- Huazhong University of Science and Technology (CN)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/ciycee63099.2024.10846309
- Citations
- 1
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.33