{"title":"神经网络在模糊逻辑PSS实时整定中的应用","authors":"T. Hiyama","doi":"10.1109/ANN.1993.264311","DOIUrl":null,"url":null,"abstract":"A fuzzy logic power system stabilizer is proposed, and a neural network is utilized for its real time tuning to keep its performance optimal under wider ranges of operating conditions. Simulation results show the efficiency of the proposed real time tuning of the fuzzy logic power system stabilizer by the neural network. The proposed fuzzy logic power system stabilizer can be configured by using a microcomputer and an A/D and a D/A conversion boards, and easily implemented in power systems.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Application of neural network to real time tuning of fuzzy logic PSS\",\"authors\":\"T. Hiyama\",\"doi\":\"10.1109/ANN.1993.264311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy logic power system stabilizer is proposed, and a neural network is utilized for its real time tuning to keep its performance optimal under wider ranges of operating conditions. Simulation results show the efficiency of the proposed real time tuning of the fuzzy logic power system stabilizer by the neural network. The proposed fuzzy logic power system stabilizer can be configured by using a microcomputer and an A/D and a D/A conversion boards, and easily implemented in power systems.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"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.1993.264311\",\"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.1993.264311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of neural network to real time tuning of fuzzy logic PSS
A fuzzy logic power system stabilizer is proposed, and a neural network is utilized for its real time tuning to keep its performance optimal under wider ranges of operating conditions. Simulation results show the efficiency of the proposed real time tuning of the fuzzy logic power system stabilizer by the neural network. The proposed fuzzy logic power system stabilizer can be configured by using a microcomputer and an A/D and a D/A conversion boards, and easily implemented in power systems.<>
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