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Estimation and Elimination of Power System Harmonics and Implementation of Kalman Filter Algorithm

机译:电力系统谐波的估计和消除以及卡尔曼滤波算法的实现

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摘要

With the extensive implementation of power circuit devices, mainly rectifier, inverters, switches in power system and manufacturing industries results in serious problem relating to the quality of power. One of the major issues is a production of harmonics for current and voltage causing alteration in output waveform, voltage-distortion, voltage degrading, equipment local heating, etc. Loads which are non-linear such as UPS, SMPS, and speed drives results in production of harmonics in current waveform.These draws in the component of current having reactive power from the bus bar, and thus, causes an imbalance in bus current waveform. Hence to eliminate the problems of harmonics we need to compensate the component of harmonic causing such trouble. With all the existing methods used, one of the method being minimizing harmonic in power utility via SAPF. Hence this Paper suggests a complete analysis of SAPF performance by applying two current control strategies. First being instantaneous active and reactive power theory (p-q) and second being synchronous frame reference theory (d-q) and analyzing their overall performance to select one of the above methods. Harmonic current controller is described and used which provides correct gating signals for the IGBT based inverter nad thus helps in eliminating harmonic components. Also, this Paper explains the Kalman Filter implementation in real life scenario in frequency calculation taking an suitable example.
机译:随着电力电路装置的广泛实施,主要是电力系统和制造业中的整流器,逆变器,开关导致与电力质量有关的严重问题。主要问题之一是产生电流和电压谐波,导致输出波形改变,电压失真,电压降级,设备局部发热等。非线性负载(例如UPS,SMPS和速度驱动器)导致在电流波形中产生谐波。这些会从母线吸收具有无功功率的电流分量,从而导致母线电流波形不平衡。因此,要消除谐波问题,我们需要补偿引起此类问题的谐波分量。在使用所有现有方法的情况下,一种方法是通过SAPF将电力公用事业中的谐波最小化。因此,本文建议通过应用两种当前的控制策略来全面分析SAPF的绩效。首先是瞬时有功和无功功率理论(p-q),其次是同步帧参考理论(d-q)并分析其总体性能以选择上述方法之一。描述并使用了谐波电流控制器,该控制器可为基于IGBT的逆变器提供正确的门控信号,从而有助于消除谐波分量。另外,本文以一个合适的示例说明了频率计算中在现实生活中的卡尔曼滤波器实现。

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    Pradhan Anshuman;

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  • 年度 2016
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