{"title":"基于网络分区的鲁棒状态估计","authors":"Chenxi Xu, A. Abur","doi":"10.1109/NAPS.2017.8107392","DOIUrl":null,"url":null,"abstract":"This paper presents a linear phasor state estimator which maintains robustness against gross errors while remaining computationally efficient. This is achieved by defining as many additional zones as necessary so that any bus in the system will appear as an internal bus with respect to at least one zone. All zones will have their separate state estimators which will run in parallel assuming the availability of a multi-core parallel computing platform. Thus, the overall computation time will be independent of the actual system size, but will be determined by the size of the largest zone. Such an estimator is emulated and tested on a small (30-bus) and a large (2917-bus) test power system.","PeriodicalId":296428,"journal":{"name":"2017 North American Power Symposium (NAPS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust state estimation via network partitioning\",\"authors\":\"Chenxi Xu, A. Abur\",\"doi\":\"10.1109/NAPS.2017.8107392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a linear phasor state estimator which maintains robustness against gross errors while remaining computationally efficient. This is achieved by defining as many additional zones as necessary so that any bus in the system will appear as an internal bus with respect to at least one zone. All zones will have their separate state estimators which will run in parallel assuming the availability of a multi-core parallel computing platform. Thus, the overall computation time will be independent of the actual system size, but will be determined by the size of the largest zone. Such an estimator is emulated and tested on a small (30-bus) and a large (2917-bus) test power system.\",\"PeriodicalId\":296428,\"journal\":{\"name\":\"2017 North American Power Symposium (NAPS)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2017.8107392\",\"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.2017.8107392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a linear phasor state estimator which maintains robustness against gross errors while remaining computationally efficient. This is achieved by defining as many additional zones as necessary so that any bus in the system will appear as an internal bus with respect to at least one zone. All zones will have their separate state estimators which will run in parallel assuming the availability of a multi-core parallel computing platform. Thus, the overall computation time will be independent of the actual system size, but will be determined by the size of the largest zone. Such an estimator is emulated and tested on a small (30-bus) and a large (2917-bus) test power system.