谐波和间谐波干扰严重影响电力系统的正常运行,将快速傅里叶变换(FFT)和采用局部优化的匹配追踪算法相结合,并构造离散正弦字典,实现在含有噪声、基波频率偏移和频率相近的间谐波情况下的谐波和间谐波参数检测。采用循环迭代方法,按照能量大小,依次提取出谐波和间谐波扰动成分,每次迭代首先用FFT估计出当前频率参数,并搜索该频率下的相位,然后以该频率和相位作为初值,用Nelder-Mead算法获得优化后的频率和相位值,并通过MP算法提取出匹配信号表达式,进而获得幅值参数。仿真结果表明本文提出的算法计算复杂度低、物理意义清晰,具有较好的检测精度和抗噪性能。
Abstract
Harmonic and inter-harmonic disturbances seriously affect the normal operation of power system, and a FFT and local optimized matching pursuit (MP) based on sinusoid dictionary method is used to detect the waveform parameters in case of noise, fundamental frequency deviation and similar inter-harmonic frequency with harmonic or fundamental frequency. According to the amount of energy, the harmonic and inter-harmonic disturbances are extracted in turn through iteration. During each iteration, firstly,FFT is used to estimate the current frequency parameter, and then the phase is searched under this frequency; further, the Nelder-Mead algorithm is used to acquire the optimized frequency and phase that exact matches with the disturbance. Finally, the signal expression matching with harmonic or inter-harmonic is gained by MP, and the amplitude is acquired. The simulation results show that the proposed approach has good detection precision and anti-noise performance.
关键词
谐波 /
间谐波 /
匹配追踪 /
正弦字典 /
时频原子 /
优化计算
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Key words
harmonic /
inter-harmonic /
matching pursuit /
sinusoid dictionary /
time-frequency atom /
optimal computation
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