DocumentCode
1663903
Title
Classification of power quality disturbance based on atomic energy
Author
Wang, Ning ; Jia, Qing-quan ; Dou, Chun-xia ; Bo, Zhi-qian
fYear
2010
Firstpage
454
Lastpage
459
Abstract
Paper presents a new power quality disturbance classification method based on atomic energy. Design four coherent dictionaries by analyzing characteristic of power quality disturbance, which decrease the calculation work of the Matching Pursuits (MP) algorithm. Use the MP algorithm to extract the fundamental component and disturbance component. By analyzing the relationship of energy which between disturbance component and residual signal, we can identify the disturbance types of power quality. Simulation and real data results confirm the effectiveness of the proposed method, and obtaining accuracy with high signal-to-noise ratios.
Keywords
iterative methods; nuclear power; power supply quality; time-frequency analysis; atomic energy; coherent dictionaries; disturbance classification; matching pursuits algorithm; power quality disturbance; residual signal; signal-to-noise ratios; Analytical models; Artificial neural networks; Classification algorithms; Dictionaries; Filtering algorithms; Matching Pursuits; Power quality; atomic energy; coherent dictionary; disturbance classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling, Identification and Control (ICMIC), The 2010 International Conference on
Conference_Location
Okayama
Print_ISBN
978-1-4244-8381-5
Electronic_ISBN
978-0-9555293-3-7
Type
conf
Filename
5553520
Link To Document