【目的】分布式储能因可有效抑制风光出力波动、提升可再生能源消纳率而在微电网中得到广泛应用，但通常采用基于一致性的矢量控制方法，稳定域较窄，当微电网发生大幅不确定性扰动或通信故障时，系统易失稳。为解决这一问题，针对分布式储能非线性、强耦合特性，从能量角度出发，构建全局能量函数。【方法】在dq坐标系下建立储能并网变换器端口Hamilton模型，准确表征状态变量与控制变量间的无源特性。采用分层控制方式，上层设计无源一致性控制器，将相邻储能系统状态变量期望轨迹跟踪一致性误差嵌入无源性控制律，仅需少量通信，即可实现各储能并网变换器同步快速跟踪并网电压与频率期望轨迹，确保分布式储能并网系统全局渐近稳定；下层设计基于动态事件触发的储能荷电状态（state of charge， SoC）均衡控制方法，根据相邻节点储能SoC误差，实时调节无源一致性控制阻尼注入需求，提升并网电压幅值与频率期望轨迹跟踪速度。【结果】基于dSPACE的实验结果表明：微电网发生负载突变、参数摄动和通信故障情形下，所提方法调节时间短，仅需约3 s，放电和充电工作模式下超调量、稳态误差分别低于1%和1 W。【结论】所提方法能够实现分布式储能稳定协同控制，功率精确分配，SoC动态均衡，具有较优动态性能，且同步性好、稳定域宽。

[Objective] Distributed energy storages are widely applied in microgrid due to its capability to effectively suppress fluctuations in wind and solar power outputs and improve the consumption rates of renewable energies. A consensus-based vector control method is usually adopted by the distributed energy storage grid-connected system， which has limited stability. The system is prone to instability when a significant uncertainty disturbance or communication failure occur in the microgrid. To address this issue and aiming at the nonlinear and strong coupling characteristics of distributed energy storage， the global energy function is constructed from the perspective of energy. [Methods] A port-controlled Hamiltonian model of energy storage grid-connected converter is established to accurately capture the nonlinear relationship between state and control variables and avoid deviations caused by local linearization. A hierarchical control approach is designed. In the second lever， a passivity-based controller is proposed and the trajectory tracking consensus errors are embed into the control law. The fast synchronized tracking of the desired trajectories of voltage and frequency are obtained with minimal communication. It leads to achieve global asymptotic stability by minimizing the global energy function at the equilibrium point. In the primary level， a state of charge （SOC） balance control method for distributed energy storages based on dynamic event triggering mechanism is applied. The damping injection demand of the passivity-consensus-based control is adjusted by energy storage SoC errors of adjacent nodes in real time. The tracking speed of the grid-connected voltage amplitude and frequency desired trajectory is improved. [Results] It is shown by the experimental results based on dSPACE that when load mutation， parameter perturbation and communication failure occur in microgrid， the proposed method achieves a short settling time of approximately 3 seconds. In both discharging and charging modes， the overshoot and steady-state error remain below 1% and 1 W， respectively. [Conclusions] The method enables stable coordinated control of distributed energy storage， accurate power sharing， and dynamic SoC balancing. The proposed method exhibits superior dynamic performance， excellent synchronization， and a wide stability margin.