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ADALINE Network Based Adaptive Controller for STATCOM

机译:基于ADALINE网络的STATCOM自适应控制器

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In this paper, an adaptive controller for Static Synchronous Compensator (STATCOM) is developed to damp oscillations and enhance the stability of power systems. The adaptive controller consists of an on-line identified system model and a Pole-Shift (PS) feedback controller. Adaptive Linear Element Neuron (ADALINE) is used for on-line model identification to obtain a dynamic equivalent model of the system. The PS controller is then adapted using the identified model. The proposed technique is tested on a single machine infinite bus system. The results obtained demonstrate improvement in the overall system damping characteristics applying the proposed adaptive controller and enhancing the stability of the power system in comparison to the conventional controller.
机译:在本文中,开发了一种用于静态同步补偿器(STATCOM)的自适应控制器,以抑制振荡并增强电力系统的稳定性。自适应控制器由在线识别的系统模型和极移(PS)反馈控制器组成。自适应线性元素神经元(ADALINE)用于在线模型识别,以获取系统的动态等效模型。然后,使用识别出的模型对PS控制器进行调整。所提出的技术在单机无限总线系统上进行了测试。所获得的结果表明,与传统控制器相比,使用所提出的自适应控制器可以改善整个系统的阻尼特性,并可以增强电力系统的稳定性。

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