有功功率测量P-Sa滤波器算法的研究

P-Sa filter algorithms for active power measurements

针对电能表采样过程中非整周期采样造成的有功功率测量和电能计量误差,在传统滤波器功率测量算法基础上,首先提出了一种多项Sa函数自卷积窗函数(P-Sa窗),分析了该窗的时频特性,然后基于该窗构造了P-Sa滤波器,仿真分析了非整周期采样下P-Sa滤波器的滤波效果,最后,基于工频正弦波形和IEC62052中的5种畸变波形测试信号,仿真分析了稳态和动态测试信号下不同有功功率测量算法对累计电能的误差。仿真结果表明,提出的P-Sa滤波器可以有效抑制纹波波动,提高了有功电能累计的准确性。

As a consequence of the use of distributed generation equipment and non-linear electrical equipment,the load signal in a smart grid exhibits distortion and dynamic characteristics.Simultaneously,non-integer-period sampling is inevitable in the process of sampling of smart meters,which results in errors in active power measurements and energy accumulation.Based on the traditional filter power measurement algorithm,a polynomial Sa function self-convolution window(P-Sa window) is proposed,and the time-frequency characteristics of the window are analyzed.Subsequently,based on the window,a P-Sa filter is constructed,and the filtering effect of the P-Sa filter is simulated and analyzed under non-integer-period sampling.Finally,the active power accumulation with different active power measurement algorithms is simulated and analyzed for steady and dynamic test signals based on power frequency sinusoidal waveforms and five kinds of distortion waveform test signals in IEC62052.The results show that the proposed P-Sa filter can effectively suppress ripple fluctuations and improve the accuracy of active energy accumulation.