{"title":"基于智能电表数据的低压配电网电能损耗计算改进方法","authors":"G. Grigoraș, M. Gavrilas","doi":"10.1109/ICEPE.2018.8559612","DOIUrl":null,"url":null,"abstract":"In the paper, a forward/backward sweep algorithm based improved calculation method to estimate the power/energy losses in low voltage distribution networks is proposed. The method has the flexibility to access the input data, being able to work simultaneously with active and reactive power profiles provided by smart meters and typical profiles associated the consumers without smart meters, in function by energy consumption category and day type (weekend and working), knowing the daily energy indexes. The method was implemented in MatLab, and the obtained results for a real low voltage network are compared with those obtained using a professional software, namely DigSilent. The mean error calculated for the total energy losses was by 1.14 %. For the phase voltages in the farthest node, the mean errors were less than 0.25 %.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An Improved Approach for Energy Losses Calculation in Low Voltage Distribution Networks based on the Smart Meter Data\",\"authors\":\"G. Grigoraș, M. Gavrilas\",\"doi\":\"10.1109/ICEPE.2018.8559612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, a forward/backward sweep algorithm based improved calculation method to estimate the power/energy losses in low voltage distribution networks is proposed. The method has the flexibility to access the input data, being able to work simultaneously with active and reactive power profiles provided by smart meters and typical profiles associated the consumers without smart meters, in function by energy consumption category and day type (weekend and working), knowing the daily energy indexes. The method was implemented in MatLab, and the obtained results for a real low voltage network are compared with those obtained using a professional software, namely DigSilent. The mean error calculated for the total energy losses was by 1.14 %. For the phase voltages in the farthest node, the mean errors were less than 0.25 %.\",\"PeriodicalId\":343896,\"journal\":{\"name\":\"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPE.2018.8559612\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPE.2018.8559612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Approach for Energy Losses Calculation in Low Voltage Distribution Networks based on the Smart Meter Data
In the paper, a forward/backward sweep algorithm based improved calculation method to estimate the power/energy losses in low voltage distribution networks is proposed. The method has the flexibility to access the input data, being able to work simultaneously with active and reactive power profiles provided by smart meters and typical profiles associated the consumers without smart meters, in function by energy consumption category and day type (weekend and working), knowing the daily energy indexes. The method was implemented in MatLab, and the obtained results for a real low voltage network are compared with those obtained using a professional software, namely DigSilent. The mean error calculated for the total energy losses was by 1.14 %. For the phase voltages in the farthest node, the mean errors were less than 0.25 %.