The Research of Station Identification Method based on Multi-feature Fusion Similarity
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DOI: 10.23977/icamcs2019.52
Author(s)
Wu Tong, Shang Lixia, Wang Chuang, Wang Qi, Xu Shaodong, Hai Tianshu, Li Xinyu, Wang Shuai, Jin Dai, Liu Chuanbo
Corresponding Author
Wu Tong
ABSTRACT
Line loss rate has always been an important indicator of economic operation for power grid, and the key to ensure accurate calculation of line loss is to establish the correct relationship between households. The problem is that the line loss index is affected by the inaccuracy of the relation between the households in the station area, this paper proposes station identification method based on multi-feature fusion similarity. According to the signal characteristics of different stations, the proposed scheme calculates the similarity coefficient by multi-feature fusion, and distinguishes the membership relationship of stations by the similarity coefficient. Finally, the effectiveness of the proposed method is proved by the field experiment.
KEYWORDS
Station division, similarity coefficient, zero crossing sequence, multi-feature fusion