{"title":"低压用户的电力负荷模式。罗马尼亚的一个案例","authors":"R. Porumb, N. Golovanov, C. Toader, P. Postolache","doi":"10.1109/UPEC.2012.6398427","DOIUrl":null,"url":null,"abstract":"Current structure of the main electric distribution utility in Romania consists in three areas, which cover the center and north areas of Country. Starting from the analysis of small users and users on the distribution utility subsidiaries and ways of building load profiles used in other countries and presented in the literature, are proposed following categories representative of non-dispatched users. Theoretical development of the specific mathematical model based on collecting data measured at each user was generated. The study was performed for consumers which do not have implemented the proper metering devices within each distribution subsidiary and clustering them into categories. The identified clusters were pre-evaluated from variability of consumption, in order to ease the overall load pattern identification process.","PeriodicalId":326950,"journal":{"name":"2012 47th International Universities Power Engineering Conference (UPEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Electrical load pattern for LV consumers. A Romanian case\",\"authors\":\"R. Porumb, N. Golovanov, C. Toader, P. Postolache\",\"doi\":\"10.1109/UPEC.2012.6398427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current structure of the main electric distribution utility in Romania consists in three areas, which cover the center and north areas of Country. Starting from the analysis of small users and users on the distribution utility subsidiaries and ways of building load profiles used in other countries and presented in the literature, are proposed following categories representative of non-dispatched users. Theoretical development of the specific mathematical model based on collecting data measured at each user was generated. The study was performed for consumers which do not have implemented the proper metering devices within each distribution subsidiary and clustering them into categories. The identified clusters were pre-evaluated from variability of consumption, in order to ease the overall load pattern identification process.\",\"PeriodicalId\":326950,\"journal\":{\"name\":\"2012 47th International Universities Power Engineering Conference (UPEC)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 47th International Universities Power Engineering Conference (UPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC.2012.6398427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 47th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2012.6398427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electrical load pattern for LV consumers. A Romanian case
Current structure of the main electric distribution utility in Romania consists in three areas, which cover the center and north areas of Country. Starting from the analysis of small users and users on the distribution utility subsidiaries and ways of building load profiles used in other countries and presented in the literature, are proposed following categories representative of non-dispatched users. Theoretical development of the specific mathematical model based on collecting data measured at each user was generated. The study was performed for consumers which do not have implemented the proper metering devices within each distribution subsidiary and clustering them into categories. The identified clusters were pre-evaluated from variability of consumption, in order to ease the overall load pattern identification process.