{"title":"基于变步长威布尔m变换的动态相和频率估计","authors":"Kuber Saxena, S. Nanda, S. Samantaray","doi":"10.1109/NPSC57038.2022.10069393","DOIUrl":null,"url":null,"abstract":"The key to the stable and dependable operation of a power system and its control equipment is the accurate and rapid estimation of the system’s phasors and frequency. Numerous research has been conducted on phasor estimation techniques under steady state and dynamic conditions. Although the performance of an estimator based on a static phasor has improved under dynamic conditions, significant errors are still present during large deviations. So, a new approach is presented in this paper to improve phasor estimation during dynamic conditions using Variable Step Size Weibull M transform. The corresponding methods aims on low intricacy adaptive filter using dynamic signal modelling method, whose parameters are calibrated using a new variable step size algorithm by establishing a new nonlinear relationship between the step size and error, the algorithm eliminates the trivial noise and improve the convergence rate to achieve good stability, low complexity, improved precision, faster response, and better noise cancellation.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Phasor and Frequency Estimation Based on Variable Step Size Weibull M-Transform\",\"authors\":\"Kuber Saxena, S. Nanda, S. Samantaray\",\"doi\":\"10.1109/NPSC57038.2022.10069393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The key to the stable and dependable operation of a power system and its control equipment is the accurate and rapid estimation of the system’s phasors and frequency. Numerous research has been conducted on phasor estimation techniques under steady state and dynamic conditions. Although the performance of an estimator based on a static phasor has improved under dynamic conditions, significant errors are still present during large deviations. So, a new approach is presented in this paper to improve phasor estimation during dynamic conditions using Variable Step Size Weibull M transform. The corresponding methods aims on low intricacy adaptive filter using dynamic signal modelling method, whose parameters are calibrated using a new variable step size algorithm by establishing a new nonlinear relationship between the step size and error, the algorithm eliminates the trivial noise and improve the convergence rate to achieve good stability, low complexity, improved precision, faster response, and better noise cancellation.\",\"PeriodicalId\":162808,\"journal\":{\"name\":\"2022 22nd National Power Systems Conference (NPSC)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 22nd National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC57038.2022.10069393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd National Power Systems Conference (NPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPSC57038.2022.10069393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Phasor and Frequency Estimation Based on Variable Step Size Weibull M-Transform
The key to the stable and dependable operation of a power system and its control equipment is the accurate and rapid estimation of the system’s phasors and frequency. Numerous research has been conducted on phasor estimation techniques under steady state and dynamic conditions. Although the performance of an estimator based on a static phasor has improved under dynamic conditions, significant errors are still present during large deviations. So, a new approach is presented in this paper to improve phasor estimation during dynamic conditions using Variable Step Size Weibull M transform. The corresponding methods aims on low intricacy adaptive filter using dynamic signal modelling method, whose parameters are calibrated using a new variable step size algorithm by establishing a new nonlinear relationship between the step size and error, the algorithm eliminates the trivial noise and improve the convergence rate to achieve good stability, low complexity, improved precision, faster response, and better noise cancellation.