{"title":"微机模糊逻辑电力系统稳定器的实验研究","authors":"T. Hiyama, S. Oniki, H. Nagashima","doi":"10.1109/ANN.1993.264288","DOIUrl":null,"url":null,"abstract":"A microcomputer based fuzzy logic power system stabilizer is implemented to an actual hydroelectric generator with the rating of 5.25 MVA to investigate its efficiency in real time control. The stabilizing signal is determined by using sampled real power signals to damp the system oscillations. The results show the proposed stabilizer improves the system damping effectively subject to various types of disturbances.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Experimental studies on micro-computer based fuzzy logic power system stabilizer\",\"authors\":\"T. Hiyama, S. Oniki, H. Nagashima\",\"doi\":\"10.1109/ANN.1993.264288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A microcomputer based fuzzy logic power system stabilizer is implemented to an actual hydroelectric generator with the rating of 5.25 MVA to investigate its efficiency in real time control. The stabilizing signal is determined by using sampled real power signals to damp the system oscillations. The results show the proposed stabilizer improves the system damping effectively subject to various types of disturbances.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1993.264288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1993.264288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental studies on micro-computer based fuzzy logic power system stabilizer
A microcomputer based fuzzy logic power system stabilizer is implemented to an actual hydroelectric generator with the rating of 5.25 MVA to investigate its efficiency in real time control. The stabilizing signal is determined by using sampled real power signals to damp the system oscillations. The results show the proposed stabilizer improves the system damping effectively subject to various types of disturbances.<>