{"title":"利用智能电表进行配电网状态估计","authors":"B. Matthiss, Jonathan Erb, J. Binder","doi":"10.1109/SEST.2019.8849096","DOIUrl":null,"url":null,"abstract":"To estimate the grid state often pseudo-measurements based on standard-load-profiles combined with PV-generation estimates are used. To increase the accuracy of the grid state estimation further measurement units can be introduced into the grid. To ensure a cost-effective operation of the grid, a near-optimal placement of the measurements is important. In this paper, different meter placement strategies with the goal to increase the estimation accuracy with minimal investment are applied to a German distribution grid and compared. As a result, the effectiveness of the placement strategies on the estimation accuracy are compared and benchmarked in regards to the computational efficiency, resulting in estimation accuracy and investment costs.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Using Smart Meters for Distribution Grid State Estimation\",\"authors\":\"B. Matthiss, Jonathan Erb, J. Binder\",\"doi\":\"10.1109/SEST.2019.8849096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To estimate the grid state often pseudo-measurements based on standard-load-profiles combined with PV-generation estimates are used. To increase the accuracy of the grid state estimation further measurement units can be introduced into the grid. To ensure a cost-effective operation of the grid, a near-optimal placement of the measurements is important. In this paper, different meter placement strategies with the goal to increase the estimation accuracy with minimal investment are applied to a German distribution grid and compared. As a result, the effectiveness of the placement strategies on the estimation accuracy are compared and benchmarked in regards to the computational efficiency, resulting in estimation accuracy and investment costs.\",\"PeriodicalId\":158839,\"journal\":{\"name\":\"2019 International Conference on Smart Energy Systems and Technologies (SEST)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Energy Systems and Technologies (SEST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEST.2019.8849096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEST.2019.8849096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Smart Meters for Distribution Grid State Estimation
To estimate the grid state often pseudo-measurements based on standard-load-profiles combined with PV-generation estimates are used. To increase the accuracy of the grid state estimation further measurement units can be introduced into the grid. To ensure a cost-effective operation of the grid, a near-optimal placement of the measurements is important. In this paper, different meter placement strategies with the goal to increase the estimation accuracy with minimal investment are applied to a German distribution grid and compared. As a result, the effectiveness of the placement strategies on the estimation accuracy are compared and benchmarked in regards to the computational efficiency, resulting in estimation accuracy and investment costs.