Influence Analysis of Voltage Stochastic Error on Similarity Calculation

The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will affect voltage data, such as voltage stochastic error, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculat...

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Bibliographic Details
Published in2019 IEEE International Conference on Energy Internet (ICEI) pp. 201 - 205
Main Authors Tang, Zeyang, Zhou, Kunpeng, Cao, Kan, Cai, Defu, Wan, Li, Yu, Xiaodong, Wang, Wenna
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2019
Subjects
Correlation
correlation analysis
Correlation coefficient
DTW
Morphology
MSD
Network topology
Power systems
similarity calculation
stochastic error
Topology
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Summary:The operation data, such as voltage data whose similarity has been analyzed to verify distribution network topology(DNT). However, many influence factors will affect voltage data, such as voltage stochastic error, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify DNT. This paper mainly focuses on the influence of voltage stochastic error on similarity calculation. Correlation analysis, morphology similarity distance(MSD) and dynamic time warping(DTW) are used to calculate similarity. The results of the three methods which used to calculate similarity have been analyzed and compared. Results show that in order to avoid obtaining wrong similarity calculation results, the correlation analysis should be recommended compared with MSD and DTW.
DOI:10.1109/ICEI.2019.00042