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Proceedings Paper

Power quality analysis based on spatial correlation
Author(s): Jiangtao Li; Gang Zhao; Haibo Liu; Mingxuan Lu; Fenghou Li; Xiaoli Liu
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Paper Abstract

With the industrialization and urbanization, the status of electricity in the production and life is getting higher and higher. So the prediction of power quality is the more potential significance. Traditional power quality analysis methods include: power quality data compression, disturbance event pattern classification, disturbance parameter calculation. Under certain conditions, these methods can predict power quality. This paper analyses the temporal variation of power quality of one provincial power grid in China from time angle. The distribution of power quality was analyzed based on spatial autocorrelation. This paper tries to prove that the research idea of geography is effective for mining the potential information of power quality.

Paper Details

Date Published: 8 March 2018
PDF: 8 pages
Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110F (8 March 2018); doi: 10.1117/12.2285343
Show Author Affiliations
Jiangtao Li, State Grid Eastern Inner Mongolia Power Corp. (China)
Gang Zhao, State Grid Eastern Inner Mongolia Power Corp. (China)
Haibo Liu, State Grid Eastern Inner Mongolia Power Corp. (China)
Mingxuan Lu, North China Electric Power Univ. (China)
Fenghou Li, State Grid Hulunbeier Power Supply Co. (China)
Xiaoli Liu, State Grid Hulunbeier Power Supply Co. (China)


Published in SPIE Proceedings Vol. 10611:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Nong Sang; Jie Ma; Zhong Chen, Editor(s)

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