{"title":"具有更快响应时间的相量估计预测模型","authors":"Aditie Garg, V. Centeno","doi":"10.1109/NAPS.2017.8107207","DOIUrl":null,"url":null,"abstract":"Phaser measurement unit (PMU) is one of the key components in present wide area monitoring, protection, and control systems (wAMPAC). There are delays in PMU measurements due to the delay in PMU signal acquisition that may affect the performance of applications in real time in the grid. In this paper, in order to mitigate the effect of signal acquisition delays, a predicting model of PMU is proposed for estimating the phasor. This prediction model focuses on estimation of phasors which require faster response and low latency rates with respect to protection of power system. The algorithm is tested with different window filters at various sampling frequency rates and window lengths carried out for phasor estimation. It is seen that the simulation results give an accurate and lower signal acquisition delay incurred during phasor estimation.","PeriodicalId":296428,"journal":{"name":"2017 North American Power Symposium (NAPS)","volume":"360 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting model of phasor estimation for a faster response time\",\"authors\":\"Aditie Garg, V. Centeno\",\"doi\":\"10.1109/NAPS.2017.8107207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phaser measurement unit (PMU) is one of the key components in present wide area monitoring, protection, and control systems (wAMPAC). There are delays in PMU measurements due to the delay in PMU signal acquisition that may affect the performance of applications in real time in the grid. In this paper, in order to mitigate the effect of signal acquisition delays, a predicting model of PMU is proposed for estimating the phasor. This prediction model focuses on estimation of phasors which require faster response and low latency rates with respect to protection of power system. The algorithm is tested with different window filters at various sampling frequency rates and window lengths carried out for phasor estimation. It is seen that the simulation results give an accurate and lower signal acquisition delay incurred during phasor estimation.\",\"PeriodicalId\":296428,\"journal\":{\"name\":\"2017 North American Power Symposium (NAPS)\",\"volume\":\"360 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2017.8107207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2017.8107207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting model of phasor estimation for a faster response time
Phaser measurement unit (PMU) is one of the key components in present wide area monitoring, protection, and control systems (wAMPAC). There are delays in PMU measurements due to the delay in PMU signal acquisition that may affect the performance of applications in real time in the grid. In this paper, in order to mitigate the effect of signal acquisition delays, a predicting model of PMU is proposed for estimating the phasor. This prediction model focuses on estimation of phasors which require faster response and low latency rates with respect to protection of power system. The algorithm is tested with different window filters at various sampling frequency rates and window lengths carried out for phasor estimation. It is seen that the simulation results give an accurate and lower signal acquisition delay incurred during phasor estimation.