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arXiv · 2609.22889

Distributed Cooperative Control with Prescribed Performance of BESSs with A Unified Discharge Constrain for Power Allocation under Dynamic Load

Yalin Zhang·Zhongxin Liucand Fuyong Wang·Zengqiang Chen
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Abstract

Battery energy storage system (BESS) is integrated into the smart grid to enhance scalability, economy, and greenery. And the State-of-Charge (SoC) balance is one of the basic problems of BESSs, which can maximize the utilization of capacity. BESSs with a unified relative variation rate for SoC can be simultaneously filled or empty, while real-time estimation schemes of SoC balance and power sharing states are required in this power allocation scheme. Therefore, the prescribed performance control (PPC) method is applied in this paper to design two distributed estimators based on multi-agent systems (MASs), in order to estimate the power sharing and SoC balance states in real-time under dynamic load driving. In this way, these two average values can ultimately be well estimated with almost zero error performance, and dynamic performance and steady-state performance of the two estimators can be adjusted by different parameters. Similarly, consensus performance and dynamic tracking performance are decoupled. These results provide a broader range for the selection of gains. To verify the effectiveness, robustness and progressiveness of the designed estimators, some cases with a resistance network containing 4 BESSs as load distribution are designed and discussed. Further more, to test scalability, a large-scale system containing 12 BESSs is conducted to the designed scheme.

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Yalin Zhang, Zhongxin Liucand Fuyong Wang, Zengqiang Chen. 2026-09-19. Distributed Cooperative Control with Prescribed Performance of BESSs with A Unified Discharge Constrain for Power Allocation under Dynamic Load. https://doi.org/10.1080/00207721.2025.2534901

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