基于双随机相位估计的无功补偿方法

为了解决实时无功补偿问题,提出了一种基于双随机相位估计的无功补偿方法.对采样电能信号进行傅里叶变换,通过频谱峰值定位算法确定电能信号的基波、各阶次谐波的频率信息.采用同频率不同相位信号调制,得到调制后信号,再经过低通滤波得到滤波后信号.结合滤波信号的比值和随机相位三角函数数值得到所要估计的信号相位信息,辅助无功补偿.通过仿真电能信号和实际采集的电能信号验证了该算法的有效性,结果表明信号相位估计相对误差在1‰以下,无功补偿能够有效提升电路的能量利用效率.

Reactive power compensation method based on double random phase estimation

In order to solve the problem of real time reactive power compensation, a reactive power compensation method based on double random phase estimation was proposed. The Fourier transform was carried out for the sampled power signal, and the fundamental wave of power signal and the frequency information of harmonic waves in each order were determined with the spectral peak location algorithm. In addition, the signal with the same frequency and different phase was modulated to obtain the modulated signal, and the filtered signal was attained through the low pass filtering. In combination with the specific value of filtered signal and the value of random phase trigonometric function, the signal phase information to be estimated was obtained, which could assist the reactive power compensation. The validity of the proposed algorithm was verified through the stimulated and the actually acquired power signals. The results show that the relative error of phase estimation is below 1‰, and the reactive power compensation can effectively improve the energy usage efficiency of the circuit.