In a wide-area control system (WACS) of power systems, delays will affect the control performance. Dealing with randomly distributed delays besides achieving desired control performance via the WACS control strategy will make the control strategy design more challenging. Moreover, delays from the centralized controller to actuators in WACS are unknown for the controller when calculating the control strategy. A prediction-based hierarchical delay compensation (PHDC) technique enhanced by an increment autoregressive prediction (IAR) algorithm is proposed in this paper to solve these problems. With PHDC, the WACS inputs and outputs are approximated by IAR and thus available in real time for the control strategy by taking advantage of the WACS synchronization mechanism. Meanwhile, the IAR algorithm is proposed with characteristic analysis by which IAR is proved to be an enhancement to PHDC. The combination of PHDC and IAR thus achieves the ideal compensation performance. A Real-Time Digital Simulator (RTDS) hardwarein-the-loop simulation of a wide-area damping control system in an actual power grid is carried out to verify the performance of PHDC under the actual conditions and extreme conditions, respectively. The results demonstrate that PHDC compensates the randomly distributed delay effectively as well as mitigates the packet congestion and packet loss.

中文翻译：

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基于增量递归预测的广域控制系统基于预测的分层延迟补偿（PHDC）技术

在电力系统的广域控制系统（WACS）中，延迟会影响控制性能。除了通过WACS控制策略实现所需的控制性能外，处理随机分布的延迟还会使控制策略的设计更具挑战性。此外，在计算控制策略时，对于控制器而言，WACS中从集中控制器到执行器的延迟是未知的。为了解决这些问题，本文提出了一种通过增量自回归预测（IAR）算法增强的基于预测的分层延迟补偿（PHDC）技术。通过PHDC，WACS输入和输出可以通过IAR进行估算，因此可以利用WACS同步机制实时地将其用于控制​​策略。与此同时，提出了IAR算法，并进行了特征分析，证明IAR是PHDC的增强。因此，PHDC和IAR的组合可实现理想的补偿性能。对实际电网中的广域阻尼控制系统进行了实时数字仿真器（RTDS）硬件在环仿真，以分别验证PHDC在实际条件和极端条件下的性能。结果表明，PHDC有效地补偿了随机分布的延迟，并且减轻了分组拥塞和分组丢失。对实际电网中的广域阻尼控制系统进行了实时数字仿真器（RTDS）硬件在环仿真，以分别验证PHDC在实际条件和极端条件下的性能。结果表明，PHDC有效地补偿了随机分布的延迟，并且减轻了分组拥塞和分组丢失。对实际电网中的广域阻尼控制系统进行了实时数字仿真器（RTDS）硬件在环仿真，以分别验证PHDC在实际条件和极端条件下的性能。结果表明，PHDC有效地补偿了随机分布的延迟，并且减轻了分组拥塞和分组丢失。