{"title":"谐波电流的概率二元模型","authors":"M. Jarkovoi, L. Kütt, M. N. Iqbal","doi":"10.1109/ICHQP46026.2020.9177870","DOIUrl":null,"url":null,"abstract":"Modeling modern nonlinear loads with varying current poses a significant challenge. While the traditional numeric models provide an adequate representation of stable loads, if a device or a group of devices operate at different modes with varying harmonic currents, a statistical approach is necessary to represent the extent and the shape of the variation. This paper provides an overview of probabilistic modeling methods for harmonic currents and presents a novel method for empirical nonparametric harmonic current modeling.","PeriodicalId":436720,"journal":{"name":"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Probabilistic bivariate modeling of harmonic current\",\"authors\":\"M. Jarkovoi, L. Kütt, M. N. Iqbal\",\"doi\":\"10.1109/ICHQP46026.2020.9177870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modeling modern nonlinear loads with varying current poses a significant challenge. While the traditional numeric models provide an adequate representation of stable loads, if a device or a group of devices operate at different modes with varying harmonic currents, a statistical approach is necessary to represent the extent and the shape of the variation. This paper provides an overview of probabilistic modeling methods for harmonic currents and presents a novel method for empirical nonparametric harmonic current modeling.\",\"PeriodicalId\":436720,\"journal\":{\"name\":\"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHQP46026.2020.9177870\",\"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 19th International Conference on Harmonics and Quality of Power (ICHQP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHQP46026.2020.9177870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probabilistic bivariate modeling of harmonic current
Modeling modern nonlinear loads with varying current poses a significant challenge. While the traditional numeric models provide an adequate representation of stable loads, if a device or a group of devices operate at different modes with varying harmonic currents, a statistical approach is necessary to represent the extent and the shape of the variation. This paper provides an overview of probabilistic modeling methods for harmonic currents and presents a novel method for empirical nonparametric harmonic current modeling.