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研究将神经网络α阶逆系统控制策略用于可控串联电容补偿装置的控制。针对从实际系统等值简化而得的单机无穷大双回线电力系统，探讨了神经网络α阶逆系统的辨识和附加线性控制器的设计；在不同运行方式下，研究新的控制策略对系统暂态稳定的作用。仿真结果表明：同常规的ＰＩＤ控制策略相比，文中所提出的控制策略具有相当强的自适应性，可大大提高电力系统的暂态稳定性。
In this paper, the neural network α-order inverse system control strategy is applied to the controllable series capacitor compensation device. Aiming at the single-machine infinite double-circuit power system with single machine simplified from the equivalent of the actual system, the identification of the α-order inverse neural network and the design of the additional linear controller are discussed. In different operation modes, the new control strategy Stable role. The simulation results show that compared with the conventional PID control strategy, the control strategy proposed in this paper has quite strong adaptability and can greatly improve the transient stability of the power system.