{"title":"一种分散的混合人工神经网络电压不稳定监测方案","authors":"H. Mori, Y. Tamaru","doi":"10.1109/ANN.1993.264318","DOIUrl":null,"url":null,"abstract":"This paper addresses a method for voltage stability monitoring with hybrid artificial neural networks. A hybrid neural network is presented to estimate the index for voltage instability and capture the feature extraction of the power system transition. In this paper, a decentralized neural network scheme is proposed to handle a large scale power systems so that the curse of dimensionality is alleviated. The proposed method is demonstrated in a sample system.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A decentralized scheme for voltage instability monitoring with hybrid artificial neural networks\",\"authors\":\"H. Mori, Y. Tamaru\",\"doi\":\"10.1109/ANN.1993.264318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses a method for voltage stability monitoring with hybrid artificial neural networks. A hybrid neural network is presented to estimate the index for voltage instability and capture the feature extraction of the power system transition. In this paper, a decentralized neural network scheme is proposed to handle a large scale power systems so that the curse of dimensionality is alleviated. The proposed method is demonstrated in a sample system.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.1993.264318\",\"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.1993.264318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A decentralized scheme for voltage instability monitoring with hybrid artificial neural networks
This paper addresses a method for voltage stability monitoring with hybrid artificial neural networks. A hybrid neural network is presented to estimate the index for voltage instability and capture the feature extraction of the power system transition. In this paper, a decentralized neural network scheme is proposed to handle a large scale power systems so that the curse of dimensionality is alleviated. The proposed method is demonstrated in a sample system.<>