The original model-based wide-area damping control (WADC) is difficult to obtain good damping performance due to the complex structure of interconnected power systems. In this paper, an improved data-driven model-free adaptive control (ID-MFAC) algorithm is proposed to design WADC for interconnected power systems with stochastic communication delays. First, the multiple-input multiple-output power system can be decoupled as multiple single-input single-output subsystems by considering controller interactions and system disturbances. Second, a step-size vector is designed to adjust the pseudo-partial derivative and make the algorithm more flexible by considering both input and output data adequately. Furthermore, an adaptive delay compensator is designed to compensate stochastic communication delays. Last, simulations are conducted to verify that the ID-MFAC algorithm can efficiently suppress multiple inter-area oscillations modes under various stochastic communication delays.

中文翻译：

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具有随机通信延迟的互连电力系统的改进数据驱动无模型自适应阻尼控制器设计

由于互联电力系统结构复杂，原有的基于模型的广域阻尼控制（WADC）难以获得良好的阻尼性能。在本文中，提出了一种改进的数据驱动无模型自适应控制 (ID-MFAC) 算法来为具有随机通信延迟的互连电力系统设计 WADC。首先，通过考虑控制器交互和系统干扰，多输入多输出电力系统可以解耦为多个单输入单输出子系统。其次，设计了一个步长向量来调整伪偏导数，并通过充分考虑输入和输出数据使算法更加灵活。此外，自适应延迟补偿器被设计来补偿随机通信延迟。最后的，