为解决由于功率失配引起的分布式发电系统频率偏差问题,该文针对带电池储能系统(battery energy storage system,BESS)的多智能体交流微电网,提出了一种基于低带宽通信网络的分布式有限时间控制算法.该控制算法以Lyapunov方法和齐次逼近理论为基础,可确保系统节点不依赖初始条件,在一定时间内加速收敛.另外,为减轻通信负担,设计了一种能够避免芝诺(Zeno)行为的事件驱动通信机制,并导出了该行为触发边界的充分条件.通过模拟多个孤岛交流微电网案例进行仿真分析.研究结果表明,与传统控制器相比,所提出的控制算法在保证收敛时间不随初始条件变化的前提下,可以协调BESS以消除其与标准频率的偏差,同时解决荷电状态(state of charge,SoC)平衡问题,提高了同步速度,降低通信负担,确保了整个系统的稳定性和可靠性.
Finite-time Event-driven Microgrid Secondary Frequency Regulation and State of Charge Balance Control
To address the frequency deviation issue in distributed generation systems caused by power mismatches,this paper proposes a distributed finite-time control algorithm based on low-bandwidth communication networks for mul-ti-agent AC microgrids with battery energy storage systems(BESS).This control algorithm,founded on the Lyapunov method and homogeneous approximation theory,ensures that system nodes converge rapidly within a certain time without dependence on initial conditions.Moreover,to significantly alleviate communication burdens,an event-triggered commu-nication mechanism is designed to avoid Zeno behavior,and the sufficient conditions for the triggered boundary behavior are derived.Simulation analyses are conducted on multiple islanded AC microgrid cases.The research results show that,compared with traditional controllers,the proposed control algorithm can coordinate BESS to eliminate deviations from the standard frequency while ensuring that the convergence time does not vary with initial conditions;simultaneously,the problem of the state of charge(SoC)balance can be solved,improving synchronization speed,reducing communication burdens,and ensuring the stability and reliability of the entire system.
battery energy storage systemmulti-agent AC microgriddistributed finite-time control algorithmevent-driven communication mechanismstate of charge
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