Zeyang Tang, Xiaodong Yu, Kan Cao, Xin Shu, Bingke Yan, Defu Cai, Li Wan, Kunpeng Zhou, Lei Wan, Jie Xing, Hongyan Zhou
{"title":"电压损耗对相似度计算的影响分析","authors":"Zeyang Tang, Xiaodong Yu, Kan Cao, Xin Shu, Bingke Yan, Defu Cai, Li Wan, Kunpeng Zhou, Lei Wan, Jie Xing, Hongyan Zhou","doi":"10.1109/ISGT-Asia.2019.8881745","DOIUrl":null,"url":null,"abstract":"The operation data, such as voltage data whose similarity has been analyzed to verify distribution network connectivity. However, many influence factors will affect voltage data, such as voltage loss, measuring errors, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify Distribution network topology (DNT). This paper mainly focuses on the influence of voltage loss on similarity calculation. Correlation analysis, morphology similarity distance and dynamic time warping 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 is recommended compared with morphology similarity distance (MSD) and dynamic time warping (DTW).","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence Analysis of Voltage Loss on Similarity Calculation\",\"authors\":\"Zeyang Tang, Xiaodong Yu, Kan Cao, Xin Shu, Bingke Yan, Defu Cai, Li Wan, Kunpeng Zhou, Lei Wan, Jie Xing, Hongyan Zhou\",\"doi\":\"10.1109/ISGT-Asia.2019.8881745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The operation data, such as voltage data whose similarity has been analyzed to verify distribution network connectivity. However, many influence factors will affect voltage data, such as voltage loss, measuring errors, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify Distribution network topology (DNT). This paper mainly focuses on the influence of voltage loss on similarity calculation. Correlation analysis, morphology similarity distance and dynamic time warping 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 is recommended compared with morphology similarity distance (MSD) and dynamic time warping (DTW).\",\"PeriodicalId\":257974,\"journal\":{\"name\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-Asia.2019.8881745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Asia.2019.8881745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influence Analysis of Voltage Loss on Similarity Calculation
The operation data, such as voltage data whose similarity has been analyzed to verify distribution network connectivity. However, many influence factors will affect voltage data, such as voltage loss, measuring errors, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify Distribution network topology (DNT). This paper mainly focuses on the influence of voltage loss on similarity calculation. Correlation analysis, morphology similarity distance and dynamic time warping 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 is recommended compared with morphology similarity distance (MSD) and dynamic time warping (DTW).