{"title":"用蒙特卡罗方法计算了roof的不确定度","authors":"M. Sira","doi":"10.1109/CPEM49742.2020.9191892","DOIUrl":null,"url":null,"abstract":"The measurement of Rate of Change of Frequency (ROCOF) was simulated to conduct a full test of an advanced ROCOF estimation algorithm. Whole measurement chain of a transducer and digitizer was simulated and an uncertainty of ROCOF estimation has been calculated using Monte Carlo Method. The selected ROCOF estimation algorithm was based on a series of boxcar filters. The results showed out the most important uncertainty contributions and estimation errors of the selected algorithm.","PeriodicalId":373216,"journal":{"name":"2020 Conference on Precision Electromagnetic Measurements (CPEM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainty of ROCOF calculated by means of Monte Carlo method\",\"authors\":\"M. Sira\",\"doi\":\"10.1109/CPEM49742.2020.9191892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The measurement of Rate of Change of Frequency (ROCOF) was simulated to conduct a full test of an advanced ROCOF estimation algorithm. Whole measurement chain of a transducer and digitizer was simulated and an uncertainty of ROCOF estimation has been calculated using Monte Carlo Method. The selected ROCOF estimation algorithm was based on a series of boxcar filters. The results showed out the most important uncertainty contributions and estimation errors of the selected algorithm.\",\"PeriodicalId\":373216,\"journal\":{\"name\":\"2020 Conference on Precision Electromagnetic Measurements (CPEM)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Conference on Precision Electromagnetic Measurements (CPEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CPEM49742.2020.9191892\",\"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 Conference on Precision Electromagnetic Measurements (CPEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEM49742.2020.9191892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty of ROCOF calculated by means of Monte Carlo method
The measurement of Rate of Change of Frequency (ROCOF) was simulated to conduct a full test of an advanced ROCOF estimation algorithm. Whole measurement chain of a transducer and digitizer was simulated and an uncertainty of ROCOF estimation has been calculated using Monte Carlo Method. The selected ROCOF estimation algorithm was based on a series of boxcar filters. The results showed out the most important uncertainty contributions and estimation errors of the selected algorithm.
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