{"title":"An artificial neural-net based method for estimating power system dynamic stability index","authors":"H. Mori","doi":"10.1109/ANN.1991.213510","DOIUrl":null,"url":null,"abstract":"The author presents an artificial neural net based method for evaluating power system dynamic stability. An adaptive pattern recognition technique is utilized to estimate an index for power system dynamic stability so that computational efforts are reduced and numerical instability problems are avoided. The proposed method is based on a multi-layer feedforward perceptron.<<ETX>>","PeriodicalId":119713,"journal":{"name":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1991.213510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The author presents an artificial neural net based method for evaluating power system dynamic stability. An adaptive pattern recognition technique is utilized to estimate an index for power system dynamic stability so that computational efforts are reduced and numerical instability problems are avoided. The proposed method is based on a multi-layer feedforward perceptron.<>
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