The Inspection of Power Quality Disturbances by Using Improved Extreme-value Lifting Morphological Wavelet Method

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, Huaying^1 ; Hu, Ziheng^1 ; Li, Yan^1 ; Ai, Jingwen^1

Shenzhen Power Supply Co.Ltd. Institute of Electric Power Science, Guangdong Province China, Shenzhen

518020, China^1

关键词: Detail coefficients;    Disturbing signals;    Lifting schemes;    Morphological wavelet;    Power quality disturbances;    Quality processing;    Simulation and analysis;    Update operators;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012022/pdf
DOI  :  10.1088/1757-899X/486/1/012022

来源: IOP

【 摘 要 】

For solving the difficulty of extracting the disturbing characteristics of the signals in power quality processing, and restraining the noise in the process of sampling, an improved extreme-value lifting morphological wavelet method is constructed. Firstly, morphological extreme-value operator is chosen to be the prediction operator and update operator, then the max-lifting and min-lifting morphological wavelets are constructed. Secondly, the improved extreme-value lifting morphological wavelet method is designed to further highlight local maxima and minima information of the disturbing signals based on the first step. Finally, the signals are dealt with this method, and the detail coefficients can be obtained, which have kept the disturbing characteristics of the signals. The result of simulation and analysis shows that this algorism owns the trait of simple, exactness, and de-noising.