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Imitation intellect techniques implement for improving power quality in supply network

机译:实施模仿智能技术以改善供电网络中的电能质量

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This article focuses on a phased strategy shunt active filter performance with a view to compensating for the harmonic current non-linear load. The Imitation intellect is known as adaptive neuro-fuzzy inference system-ANFIS that also implement to improve the quality of electric power by the technology of fuzzy systems in supply networks. A complex adaptive system that is based on the structure of ANFIS in the implementation of the experiment has been made. This research has examined the different structure of ANFIS network (structure) on the basis of the actual signal and experimental results have mentioned the type of control used in a range of attributes ANFIS excellent compensation of harmonic currents of non-linear load. Active shunt filter control strategy compared with a basic total harmonic distortion (THD) of the current network after correction.
机译:本文重点介绍分相策略并联有源滤波器的性能,以补偿谐波电流非线性负载。模仿智力被称为自适应神经模糊推理系统-ANFIS,它也可以通过供电网络中的模糊系统技术来提高电能质量。在实验的实施中,建立了一个基于ANFIS结构的复杂自适应系统。这项研究在实际信号的基础上研究了ANFIS网络的不同结构(结构),实验结果提到了在一系列属性中使用的控制类型ANFIS能够很好地补偿非线性负载的谐波电流。有源分流滤波器的控制策略与校正后电流网络的基本总谐波失真(THD)相比。

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