{"title":"一个评估分时电价的优化框架","authors":"W. Uturbey, A. Duarte, I. Coura, T. F. Araújo","doi":"10.1109/ISGT-LA.2015.7381210","DOIUrl":null,"url":null,"abstract":"This paper presents an stochastic optimal power flow model in order to assess the effect of Time-Of-Use tariffs on load profile. A bottom-up model is used to represent responsive loads. Uncertainty about consumers' preferences are modeled by stochastic variables with their probability density functions. The model uses data from a survey about consumption patterns of residential consumers in Brazil. The Point Estimation Method is used to solve the optimization problem. Results obtained with a 192-bus distribution system are presented.","PeriodicalId":345318,"journal":{"name":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An optimization framework to assess TOU tariffs\",\"authors\":\"W. Uturbey, A. Duarte, I. Coura, T. F. Araújo\",\"doi\":\"10.1109/ISGT-LA.2015.7381210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an stochastic optimal power flow model in order to assess the effect of Time-Of-Use tariffs on load profile. A bottom-up model is used to represent responsive loads. Uncertainty about consumers' preferences are modeled by stochastic variables with their probability density functions. The model uses data from a survey about consumption patterns of residential consumers in Brazil. The Point Estimation Method is used to solve the optimization problem. Results obtained with a 192-bus distribution system are presented.\",\"PeriodicalId\":345318,\"journal\":{\"name\":\"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-LA.2015.7381210\",\"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 PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-LA.2015.7381210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an stochastic optimal power flow model in order to assess the effect of Time-Of-Use tariffs on load profile. A bottom-up model is used to represent responsive loads. Uncertainty about consumers' preferences are modeled by stochastic variables with their probability density functions. The model uses data from a survey about consumption patterns of residential consumers in Brazil. The Point Estimation Method is used to solve the optimization problem. Results obtained with a 192-bus distribution system are presented.
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