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Intelligent Turbogenerator Controller Based On Artificial Neural Network

机译:基于人工神经网络的智能型汽轮发电机控制器

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The paper presents a design of an intelligent controller based on neural network (ICNN). The ICNN ensures at the same time two fundamental functions: the maintaining of generator voltage at the desired value and the damping of the electromechanical oscillations. Its performance is evaluated on a single machine infinite bus power system through computer simulations. The dynamic and transient operation of the proposed controller is compared with the operation of the conventional excitation control system composed of a conventional automatic voltage regulator (CAVR) and a conventional power system stabilizer (CPSS) as recommended in the IEEE standard. The proposed ICNN exhibits better performance.
机译:本文提出了一种基于神经网络的智能控制器的设计。 ICNN同时确保两个基本功能:将发电机电压保持在期望值和机电振荡的阻尼。通过计算机仿真在单机无限总线电源系统上评估其性能。将所提出的控制器的动态和瞬态操作与由IEEE标准推荐的,由常规自动电压调节器(CAVR)和常规电力系统稳定器(CPSS)组成的常规励磁控制系统的操作进行比较。拟议的ICNN表现出更好的性能。

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