首页> 外文期刊>American journal of applied sciences >ARTIFICIAL NEURAL NETWORK CONTROLLER BASED DISTRIBUTION STATIC COMPENSATOR FOR VOLTAGE SAG MITIGATION
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ARTIFICIAL NEURAL NETWORK CONTROLLER BASED DISTRIBUTION STATIC COMPENSATOR FOR VOLTAGE SAG MITIGATION

机译:基于人工神经网络控制器的电压降缓和分布静态补偿器

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摘要

Switching of loads, capacitors, along with the proliferation of power electronics equipment, non-linear loads in industrial, commercial and domestic applications have lead to power quality issues in the distribution system. Power quality issues such as voltage sag, voltage swell and harmonics, which are certainly major concerning issues in the present era. These issues can lead to failure or malfunction of the many sensitive loads connected to the distribution system, thus incurring a high cost for end users. Power quality problems are solved by advanced custom power devices. This study presents how the custom power device Distribution Static Compensator (D-STATCOM) is used to mitigate voltage sag and voltage harmonics in distribution system. Artificial Neural Network (ANN) controller based D-STATCOM is simulated in MATLAB-SIMULINK environment. Prototype model for single phase D-STATCOM is developed to verify the results. The simulation and hardware results show clearly the performance of the D-STATCOM in mitigating voltage sag and voltage harmonics in distribution system.
机译:负载,电容器的切换以及电力电子设备的激增,工业,商业和家庭应用中的非线性负载已导致配电系统中的电能质量问题。诸如电压骤降,电压骤升和谐波之类的电能质量问题无疑是当今时代关注的主要问题。这些问题可能导致连接到配电系统的许多敏感负载出现故障或故障,从而给最终用户带来高昂的成本。电能质量问题可以通过高级定制电能设备解决。本研究介绍了如何使用定制的功率设备配电静态补偿器(D-STATCOM)来减轻配电系统中的电压骤降和电压谐波。在MATLAB-SIMULINK环境中对基于D-STATCOM的人工神经网络(ANN)控制器进行了仿真。开发了单相D-STATCOM的原型模型以验证结果。仿真和硬件结果清楚地表明了D-STATCOM在缓解配电系统中的电压骤降和电压谐波方面的性能。

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