The wind turbine (WT) terminal overvoltage during grid voltage swell events may result in tripping the WT and consequently threaten the secure operation of large-scale wind farms (WFs). In this paper, an optimal coordination of droop control and adaptive model predictive control (MPC) scheme is proposed to enhance the high-voltage ride-through (HVRT) and post-event recovery of large-scale WFs. During the HVRT, the reactive power reference is generated in each WT controller by following an optimal droop coefficient to realize a fast voltage reduction at the WT terminal. The droop coefficients are pre-calculated by taking the WF collection system topology and voltage swell magnitude into consideration. At the post-event recovery stage, an adaptive MPC-based voltage recovery control scheme is proposed to improve post-event voltage dynamic restoration performance. The droop coefficients of the WT controllers are optimized based on the voltage sensitivity coefficients and voltage swell magnitude. With the proposed control scheme, all the WT terminal voltage can be maintained within their feasible range and the response time of post-event voltage recovery is significantly shortened. The proposed control scheme is validated and tested under various operating scenarios.

中文翻译：

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用于增强大型风电场HVRT和事后恢复的协调下垂控制和自适应模型预测控制

电网电压骤升事件期间的风力涡轮机 (WT) 端子过电压可能导致 WT 跳闸，从而威胁大型风电场 (WF) 的安全运行。在本文中，提出了下垂控制和自适应模型预测控制 (MPC) 方案的最佳协调，以增强大型 WF 的高压穿越 (HVRT) 和事后恢复。在 HVRT 期间，每个 WT 控制器通过遵循最佳下垂系数生成无功功率参考，以实现 WT 端子的快速降压。下垂系数是通过考虑 WF 收集系统拓扑和电压骤升幅度预先计算的。在事后恢复阶段，提出了一种基于自适应MPC的电压恢复控制方案，以提高事后电压动态恢复性能。WT 控制器的下垂系数根据电压灵敏度系数和电压骤升幅度进行优化。通过所提出的控制方案，所有WT端电压都可以保持在其可行范围内，并且显着缩短了事后电压恢复的响应时间。所提出的控制方案在各种操作场景下进行了验证和测试。所有WT端电压都可以保持在其可行范围内，并且显着缩短了事后电压恢复的响应时间。所提出的控制方案在各种操作场景下进行了验证和测试。所有WT端电压都可以保持在其可行范围内，并且显着缩短了事后电压恢复的响应时间。所提出的控制方案在各种操作场景下进行了验证和测试。