This paper proposes a hierarchical event-triggered model predictive control (HEMPC)-based voltage control strategy to coordinate the reactive power (Var) outputs among all WTs for improving the high-voltage ride-through (HVRT) and post-fault voltage restoration capability of the large-scale wind farms (WFs), while reducing the heavy computational task of the WF controller. The event-triggering condition and optimal controller are designed to activate the proposed HEMPC strategy based on the system state deviation and input-to-state stability (ISS) mechanism, which can substantially decrease data communication in a non-periodic sampling fashion. A hierarchical solution method based on the alternating direction method of multipliers (ADMM) is developed, aiming to further improve the computing efficiency of the voltage optimization problem of the large-scale WF. Two time-domain WF simulation cases in Matlab/Simulink corroborate that the proposed HEMPC strategy is more efficient in minimizing the WT terminal voltage deviations and reducing the computational burdens of the WF controller compared with traditional control strategies.

中文翻译：

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基于分层事件触发MPC的大型风电场HVRT与电压恢复协调控制


本文提出了一种基于分层事件触发模型预测控制（HEMPC）的电压控制策略，以协调所有WT之间的无功功率（Var）输出，以提高高压穿越（HVRT）和故障后电压恢复能力大型风电场（WF）的计算能力，同时减少了 WF 控制器的繁重计算任务。事件触发条件和最优控制器旨在激活基于系统状态偏差和输入状态稳定（ISS）机制的HEMPC策略，该策略可以显着减少非周期采样方式的数据通信。提出了一种基于乘子交替方向法（ADMM）的分层求解方法，旨在进一步提高大规模WF电压优化问题的计算效率。 Matlab/Simulink 中的两个时域 WF 仿真案例证实，与传统控制策略相比，所提出的 HEMPC 策略在最小化 WT 端电压偏差和减少 WF 控制器的计算负担方面更有效。