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首页> 外文期刊>Instrumentation and Measurement, IEEE Transactions on >Triangular Self-Convolution Window With Desirable Sidelobe Behaviors for Harmonic Analysis of Power System
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Triangular Self-Convolution Window With Desirable Sidelobe Behaviors for Harmonic Analysis of Power System

机译:具有理想旁瓣特性的三角形自卷积窗口用于电力系统谐波分析

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摘要

Weak harmonic components can easily be obscured by nearby strong harmonics due to the spectral leakage in the power system. To obtain a window suitable for solving the problem, the triangular self-convolution window (TSCW) is constructed, with the triangular window being the parent window to take advantages of its narrow major lobe and simple computation. A TSCW-based phase difference correction algorithm for calculating the power system signal parameters, such as frequency, phase, and amplitude, is presented in this paper. The TSCW has a low peak sidelobe level, a high sidelobe rolloff rate, and a simple spectral representation. Leakage errors and harmonic interferences are thus considerably reduced by weighting samples with the TSCW. The TSCW-based phase difference correction algorithm is free of solving high-order equations, and the overall method can easily be implemented in embedded systems. The effectiveness of the method proposed was analyzed by means of computer simulations and practical experiments for multifrequency signals without noise and with quantization noise.
机译:由于电力系统中的频谱泄漏,弱的谐波成分很容易被附近的强谐波所掩盖。为了获得适合解决该问题的窗口,构造了三角形自卷积窗口(TSCW),以三角形窗口作为父窗口,以利用其狭窄的主瓣和简单的计算优势。提出了一种基于TSCW的相位差校正算法,用于计算电力系统的信号参数,如频率,相位和幅度。 TSCW具有较低的峰值旁瓣电平,较高的旁瓣滚降率和简单的频谱表示。因此,通过使用TSCW加权样品,可以大大减少泄漏误差和谐波干扰。基于TSCW的相位差校正算法无需求解高阶方程,并且整体方法可以轻松地在嵌入式系统中实现。通过计算机仿真和实际实验分析了所提出方法的有效性,该方法对无噪声和有量化噪声的多频信号进行了分析。

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