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.
electric energy measurement mathematical morphology morphological wavelet multi-resolution analysis wavelet transform
Zhu Binruo Yang Yaojia Song Xiaohui Lin Fantao Zhang Kai Lu Da
State Grid Shanghai Municipal Electric Power Company Electric Power Research Institute, Shanghai, Ch School of Electrical Engineering Wuhan University, Wuhan, China China Electric Power Research Institute, Beijing, China
国际会议
秦皇岛
英文
532-537
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）