{"title":"电力系统大规模阻尼控制模型辨识","authors":"J. Hauer","doi":"10.1109/CDC.1989.70476","DOIUrl":null,"url":null,"abstract":"The a priori models used to plan large electrical power systems are often inadequate for the development of robust large-scale damping controls. Methods that are used at the Bonneville Power Administration to construct measurement-based models of the controlled plant and the source noise are presented. The identification procedures include frequency-domain fitting of structured rational-block models and time-domain fitting with an extended version of Prony's method. Comparative results are shown for a recent test of the western North American power system.<<ETX>>","PeriodicalId":156565,"journal":{"name":"Proceedings of the 28th IEEE Conference on Decision and Control,","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Identification of power system models for large scale damping control\",\"authors\":\"J. Hauer\",\"doi\":\"10.1109/CDC.1989.70476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The a priori models used to plan large electrical power systems are often inadequate for the development of robust large-scale damping controls. Methods that are used at the Bonneville Power Administration to construct measurement-based models of the controlled plant and the source noise are presented. The identification procedures include frequency-domain fitting of structured rational-block models and time-domain fitting with an extended version of Prony's method. Comparative results are shown for a recent test of the western North American power system.<<ETX>>\",\"PeriodicalId\":156565,\"journal\":{\"name\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1989.70476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th IEEE Conference on Decision and Control,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1989.70476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of power system models for large scale damping control
The a priori models used to plan large electrical power systems are often inadequate for the development of robust large-scale damping controls. Methods that are used at the Bonneville Power Administration to construct measurement-based models of the controlled plant and the source noise are presented. The identification procedures include frequency-domain fitting of structured rational-block models and time-domain fitting with an extended version of Prony's method. Comparative results are shown for a recent test of the western North American power system.<>