基于特征向量中心性的电池储能系统分布式多一致性控制
Distributed Multiconsensus Control of BESSs Based on Centrality of Eigenvectors
- College of Artificial Intelligence, Nankai University（南开大学人工智能学院）
- Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation, Nankai University（南开大学天津市介入式脑机接口与智能康复重点实验室）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
针对电池储能系统，提出基于特征向量中心性的通信权重分配方法，设计分布式二次电压与SoC平衡控制器，实现单领导者电压多一致性及按容量功率分配，仿真验证有效性。
中文摘要 AI 辅助
二次控制和荷电状态（SoC）平衡控制是电池储能系统（BESSs）的重要控制目标。本文针对连通有向图设计了一种基于特征向量中心性的通信权重分配方法，使得邻接矩阵具有给定的特征向量。随后，针对下垂控制的电池储能系统，分别设计了分布式二次电压控制器和SoC平衡控制器，以实现电压领导者-跟随者多一致性控制和SoC平衡。值得一提的是，在所设计的电压二次控制方案下，仅需单个领导者即可实现电压多一致性控制。此外，通信网络中无需传输容量信息/下垂系数，即可实现按容量分配功率和SoC平衡。对于SoC平衡控制，还充分分析了控制增益以确保稳定性。相关仿真验证了所设计方案的有效性。
英文摘要
Secondary control and the State-of-Charge (SoC) balance control are important control objectives for battery energy storage systems (BESSs). In this brief, a communication weight allocation method based on the centrality of eigenvectors is designed for a connected and directed graph, which results in the adjacency matrix having a given eigenvector. Subsequently, a distributed secondary voltage controller and an SoC balancing controller are designed for droop-controlled BESSs to achieve voltage leader-following multiconsensus and SoC balancing, respectively. It is worth mentioning that under the designed voltage secondary control scheme, only a single leader is needed to achieve voltage multiconsensus control. In addition, the capacity information/droop coefficient does not need to be transmitted in the communication network to achieve power sharing according to capacity and SoC balance. For SoC balance control, the control gain is also well analyzed to ensure stability. The relevant simulations verify the effectiveness of the designed scheme.
