P. Kovalenko, M. Senyuk, V. Mukhin, Diana D. Kornilova
{"title":"基于瞬时点对波测量的检测事件起始点算法","authors":"P. Kovalenko, M. Senyuk, V. Mukhin, Diana D. Kornilova","doi":"10.1109/USEC50097.2020.9281158","DOIUrl":null,"url":null,"abstract":"Nowadays, the algorithms of the windowed digital signal processing are widely used for the development and introduction of the phasor measurement units. The specific feature of these algorithms is the presence of spikes at the beginning of the transient process due to the inclusion of both steady-state and transient processes into a window span. As a result, the error of the electric mode parameters acquisition during the data accumulation period rises. This effect can be mitigated by shifting the window to points after the beginning of the transient process. In this paper, we present an effective algorithm for real-time determination of the inception point of the transient process. The algorithm was tested on model-generated and real signal samples. The criterion is suggested for precision enhancement of the algorithm by utilizing beginning points of transient processes of phased and linear voltages and phased currents. The error of prediction for the real samples testing does not exceed 0.001 seconds.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection Event Inception Point Algorithms Based on Instantaneous Point-on-wave Measurements\",\"authors\":\"P. Kovalenko, M. Senyuk, V. Mukhin, Diana D. Kornilova\",\"doi\":\"10.1109/USEC50097.2020.9281158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, the algorithms of the windowed digital signal processing are widely used for the development and introduction of the phasor measurement units. The specific feature of these algorithms is the presence of spikes at the beginning of the transient process due to the inclusion of both steady-state and transient processes into a window span. As a result, the error of the electric mode parameters acquisition during the data accumulation period rises. This effect can be mitigated by shifting the window to points after the beginning of the transient process. In this paper, we present an effective algorithm for real-time determination of the inception point of the transient process. The algorithm was tested on model-generated and real signal samples. The criterion is suggested for precision enhancement of the algorithm by utilizing beginning points of transient processes of phased and linear voltages and phased currents. The error of prediction for the real samples testing does not exceed 0.001 seconds.\",\"PeriodicalId\":236445,\"journal\":{\"name\":\"2020 Ural Smart Energy Conference (USEC)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Ural Smart Energy Conference (USEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USEC50097.2020.9281158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Ural Smart Energy Conference (USEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USEC50097.2020.9281158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection Event Inception Point Algorithms Based on Instantaneous Point-on-wave Measurements
Nowadays, the algorithms of the windowed digital signal processing are widely used for the development and introduction of the phasor measurement units. The specific feature of these algorithms is the presence of spikes at the beginning of the transient process due to the inclusion of both steady-state and transient processes into a window span. As a result, the error of the electric mode parameters acquisition during the data accumulation period rises. This effect can be mitigated by shifting the window to points after the beginning of the transient process. In this paper, we present an effective algorithm for real-time determination of the inception point of the transient process. The algorithm was tested on model-generated and real signal samples. The criterion is suggested for precision enhancement of the algorithm by utilizing beginning points of transient processes of phased and linear voltages and phased currents. The error of prediction for the real samples testing does not exceed 0.001 seconds.