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ARTIFICIAL NEURAL NETWORK CONTROLLER BASED DISTRIBUTION STATIC COMPENSATOR FOR VOLTAGE SAG MITIGATION | Science Publications

机译:基于人工神经网络控制器的电压缓解电压静态补偿器|科学出版物

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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,以及电力电子设备的增殖,工业,商业和国内应用中的非线性载荷导致分配系统中的电力质量问题。电源质量问题,如电压凹槽,电压膨胀和谐波,这肯定是当前时代的问题。这些问题可能导致失败或连接到分配系统的许多敏感载荷的故障,从而导致最终用户的高成本。高级定制功率设备解决了电力质量问题。本研究介绍了定制功率器件分配静态补偿器(D-STATCOM)如何使用分配系统中的电压下垂和电压谐波。基于人工神经网络(ANN)基于控制器的D-Statcom在Matlab-Simulink环境中模拟。开发了单相D-Statcom的原型模型以验证结果。仿真和硬件结果显然显示了D-Statcom在分配系统中缓解电压下垂和电压谐波的性能。

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