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A New Estimation Model to Control DVR for Mitigating Voltage Sags in Distribution Systems

机译:控制DVR的新估算模型以减轻配电系统中的电压暂降

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摘要

In this study proposed, for voltage sag mitigation an estimation method based on Extended Kalman Filter (EKF) is suggested. The suggested EKF based estimation technique is applied to help the control algorithm for producing reference signals of Voltage Source Converter (VSC) of DVR. DVR offers the compensation voltage as output which is inserted in the connected line. With this estimation method, voltage sag issues are found out with precision and faster performance to revoke out the sag appearance in sensitivity load connected distribution systems. The presentation of the suggested estimation technique is examined in terms of presenting the fundamental sinusoidal waveform to the nonlinear sensitive load. The confirmation of the suggested estimation algorithm is carried out on MATLAB working platform. Simulation effects are inspected and suggested one is compared with Linear Kalman Filter (LKF).
机译:在本研究中,为缓解电压骤降,提出了一种基于扩展卡尔曼滤波器(EKF)的估计方法。提出的基于EKF的估计技术被用于帮助控制算法产生DVR的电压源转换器(VSC)的参考信号。 DVR提供补偿电压作为输出,并插入连接的线路中。通过这种估计方法,可以以更高的精度和更快的性能发现电压骤降问题,以消除灵敏度负载连接的配电系统中的电压骤降现象。根据将基本正弦波形呈现给非线性敏感负载的方式,检查了建议的估算技术的呈现方式。建议的估计算法的确认是在MATLAB工作平台上进行的。检查了仿真效果,并建议将其与线性卡尔曼滤波器(LKF)进行比较。

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