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电力系统广域闭环控制的反馈信号及控制信号均通过网络传输，控制网络的时延很可能恶化控制效果甚至导致系统不稳定。为此，对广域闭环控制系统依据功能进行分层并分析闭环时延的产生，进而提出一种分层预测补偿方法，该方法将时延补偿与闭环控制系统的实现相结合，使用预测方法为控制策略提供近似的实时数据，使时延的影响与闭环控制策略隔离以保证控制效果。详述该预测方法的特点，并以自回归算法为实例阐述了其实现方法。搭建了RTDS硬件在环测试平台，并分别以实测时延和随机时延进行测试。结果表明，所提出的分层预测补偿方法能有效补偿固定的或随机分布性的闭环时延，减小了时延对控制性能的影响。“,”For wide-area controlling of power systems, feedback and control signals are transmitted over the network. Then the delays of the closed-loop network may worsen control result and even lead to instability without compensation. This paper analyzed the hierarchical structure and delays of the wide-area closed-loop control systems according to each function. Then a prediction based hierarchical compensation method at the data processing level was proposed to deal with the delays. This method combined the compensation with the control systems, and the predicted data could provide approximation of the unknown data to isolate the control strategy from the delay compensation. To achieve this compensation method, the prediction method for measurement sequences was discussed, taking an autoregressive prediction as an example. Closed-loop test platform was constructed using RTDS hardware and the tests for measured and random delays were carried out. The results show that the proposed method can compensate the fixed and randomly distributed delays effectively and reduce the delay impacts on the control performance.