{"title":"微型水轮分布式发电机的人工神经网络监督接口系统","authors":"M. R. Hamouda, M. Marei, M. Nassar, M. Salama","doi":"10.1109/CCECE47787.2020.9255730","DOIUrl":null,"url":null,"abstract":"Distributed generators based on Micro-turbine Generators (MTGs) are used widely for their proven advantages e.g. flexibility, Compatibility, low emissions…etc. This paper presents a novel interface system based on an artificial neural network (ANN) for the MTGs. The proposed interface system can identify and adapt itself to the operation mode of the system i.e. grid-connected, islanded, or fault modes. The ANN system is integrated with a back-to-back voltage source converter (VSC) interface to control MTGs in different operation modes.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANN-supervised Interface System for Microturbine Distributed Generator\",\"authors\":\"M. R. Hamouda, M. Marei, M. Nassar, M. Salama\",\"doi\":\"10.1109/CCECE47787.2020.9255730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed generators based on Micro-turbine Generators (MTGs) are used widely for their proven advantages e.g. flexibility, Compatibility, low emissions…etc. This paper presents a novel interface system based on an artificial neural network (ANN) for the MTGs. The proposed interface system can identify and adapt itself to the operation mode of the system i.e. grid-connected, islanded, or fault modes. The ANN system is integrated with a back-to-back voltage source converter (VSC) interface to control MTGs in different operation modes.\",\"PeriodicalId\":296506,\"journal\":{\"name\":\"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE47787.2020.9255730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE47787.2020.9255730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANN-supervised Interface System for Microturbine Distributed Generator
Distributed generators based on Micro-turbine Generators (MTGs) are used widely for their proven advantages e.g. flexibility, Compatibility, low emissions…etc. This paper presents a novel interface system based on an artificial neural network (ANN) for the MTGs. The proposed interface system can identify and adapt itself to the operation mode of the system i.e. grid-connected, islanded, or fault modes. The ANN system is integrated with a back-to-back voltage source converter (VSC) interface to control MTGs in different operation modes.
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