Masayoshi Koyama, T. Takeda, K. Yukita, Y. Goto, K. Ichiyanagi, T. Goda
{"title":"采用神经网络预测方法的微电网运行方法","authors":"Masayoshi Koyama, T. Takeda, K. Yukita, Y. Goto, K. Ichiyanagi, T. Goda","doi":"10.1109/INTLEC.2015.7572302","DOIUrl":null,"url":null,"abstract":"By constructing a small-scale microgrid, we have examined a control and operation method for the efficient use of distributed power generation. Thus far, the high-efficiency operation of distributed power introduced into grid has not been achieved. In this study, a method that operates a microgrid by predicting the PV output and electric power demand is proposed. Then, the effectiveness of this method is examined.","PeriodicalId":211948,"journal":{"name":"2015 IEEE International Telecommunications Energy Conference (INTELEC)","volume":"22 20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Operation method of microgrid using the forecast method by neural network\",\"authors\":\"Masayoshi Koyama, T. Takeda, K. Yukita, Y. Goto, K. Ichiyanagi, T. Goda\",\"doi\":\"10.1109/INTLEC.2015.7572302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By constructing a small-scale microgrid, we have examined a control and operation method for the efficient use of distributed power generation. Thus far, the high-efficiency operation of distributed power introduced into grid has not been achieved. In this study, a method that operates a microgrid by predicting the PV output and electric power demand is proposed. Then, the effectiveness of this method is examined.\",\"PeriodicalId\":211948,\"journal\":{\"name\":\"2015 IEEE International Telecommunications Energy Conference (INTELEC)\",\"volume\":\"22 20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Telecommunications Energy Conference (INTELEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTLEC.2015.7572302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Telecommunications Energy Conference (INTELEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTLEC.2015.7572302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Operation method of microgrid using the forecast method by neural network
By constructing a small-scale microgrid, we have examined a control and operation method for the efficient use of distributed power generation. Thus far, the high-efficiency operation of distributed power introduced into grid has not been achieved. In this study, a method that operates a microgrid by predicting the PV output and electric power demand is proposed. Then, the effectiveness of this method is examined.