{"title":"pmu的动态算法。提高信号处理效率的方法","authors":"U. Pogliano","doi":"10.1109/CPEM.2016.7540743","DOIUrl":null,"url":null,"abstract":"This paper describes the signal processing algorithms that can be used for the PMUs operating in a dynamic environment. Dynamic response and rejection to noise, harmonics and interharmonics are discussed and some solutions for improving them, emerging from the technical literature and from some additional tests, are proposed. For example dynamic response can be improved by evaluating the Taylor series as a time function, while the rejection to harmonics by selecting appropriately the observation time.","PeriodicalId":415488,"journal":{"name":"2016 Conference on Precision Electromagnetic Measurements (CPEM 2016)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic algorithms for PMUs — Methods for improving the signal processing effectiveness\",\"authors\":\"U. Pogliano\",\"doi\":\"10.1109/CPEM.2016.7540743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the signal processing algorithms that can be used for the PMUs operating in a dynamic environment. Dynamic response and rejection to noise, harmonics and interharmonics are discussed and some solutions for improving them, emerging from the technical literature and from some additional tests, are proposed. For example dynamic response can be improved by evaluating the Taylor series as a time function, while the rejection to harmonics by selecting appropriately the observation time.\",\"PeriodicalId\":415488,\"journal\":{\"name\":\"2016 Conference on Precision Electromagnetic Measurements (CPEM 2016)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Conference on Precision Electromagnetic Measurements (CPEM 2016)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CPEM.2016.7540743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Conference on Precision Electromagnetic Measurements (CPEM 2016)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEM.2016.7540743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic algorithms for PMUs — Methods for improving the signal processing effectiveness
This paper describes the signal processing algorithms that can be used for the PMUs operating in a dynamic environment. Dynamic response and rejection to noise, harmonics and interharmonics are discussed and some solutions for improving them, emerging from the technical literature and from some additional tests, are proposed. For example dynamic response can be improved by evaluating the Taylor series as a time function, while the rejection to harmonics by selecting appropriately the observation time.
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