8 March 2018 Power quality analysis based on spatial correlation
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Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106110F (2018) https://doi.org/10.1117/12.2285343
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
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.
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Jiangtao Li, Gang Zhao, Haibo Liu, Mingxuan Lu, Fenghou Li, Xiaoli Liu, "Power quality analysis based on spatial correlation", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110F (8 March 2018); doi: 10.1117/12.2285343; https://doi.org/10.1117/12.2285343
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