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宽频振荡紧急控制是保障风电系统安全运行的“兜底”措施之一。由于风电系统非线性强度大及运行工况多变，难以建立宽频振荡在线风险评估的解析模型。为此，提出了基于数据驱动的宽频振荡风险在线评估方法及紧急控制策略。首先，设计了能够应对宽频振荡多模态和时变特征的宽频相量检测算法，为后续宽频振荡特征评估提供数据支撑；其次，利用最大李雅普诺夫指数作为宽频振荡动态演化趋势的量化指标，并根据风电机组模态阻抗的负电阻效应在线辨识宽频振荡源；然后，融合宽频振荡特征辨识结果，提出宽频振荡风险在线评估策略，进一步将评估结果应用于宽频振荡紧急控制；最后，通过RTDS硬件在环平台验证所提方法的有效性和可靠性。

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