Lu Da

Study of Electric Energy Measurement Algorithm Based on Morphological Wavelet Considering Distortion Waveform

Mathematical morphology is a nonlinear signal processing method. It has no signal amplitude shift and attenuation of phase information when signals are processed. Therefore it has been widely used in the power system, such as harmonic analysis of transient signals, singularity detection and de-noising, detection of power quality, fault diagnosis, relay protection and fault location and so on. But it has not yet been applied to electric energy measurement of nonlinear signal. This paper proposes an algorithm used morphological wavelet to calculate the power in condition of non-linear load when considering the characteristics of multi-resolution analysis of wavelet transform. Morphological wavelet has the advantage of fast computing speed, accurate detection of edge information, moreover the performance of signal analysis is better than pure wavelet transform. It is proved that the method can accurately detect various nonlinear signals, extract fundamental energy, improve the accuracy of measurement, and reduce computation time through simulation analysis. Because of the rapidity of its computing, it can also be used for real-time monitoring of the signal.