{"title":"基于知识的电力系统动态安全评估方法","authors":"B. Jeyasurya, S. Venkata","doi":"10.1145/98894.98908","DOIUrl":null,"url":null,"abstract":"This paper presents a knowledge-based method for predicting the robustness of a power system to severe disturbances. The method builds decision trees using the attributes which are closely related to the stability of the power system. A simple power system is used to illustrate the important features of the proposed method.","PeriodicalId":175812,"journal":{"name":"Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A knowledge-based approach for power system dynamic security assessment\",\"authors\":\"B. Jeyasurya, S. Venkata\",\"doi\":\"10.1145/98894.98908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a knowledge-based method for predicting the robustness of a power system to severe disturbances. The method builds decision trees using the attributes which are closely related to the stability of the power system. A simple power system is used to illustrate the important features of the proposed method.\",\"PeriodicalId\":175812,\"journal\":{\"name\":\"Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/98894.98908\",\"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 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/98894.98908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A knowledge-based approach for power system dynamic security assessment
This paper presents a knowledge-based method for predicting the robustness of a power system to severe disturbances. The method builds decision trees using the attributes which are closely related to the stability of the power system. A simple power system is used to illustrate the important features of the proposed method.