Lorenzo Solida, G. Chicco, E. Bompard, Tao Huang, A. Mazza, M. Rapizza
{"title":"基于公共数据构建输电网络综合模型的拓扑问题","authors":"Lorenzo Solida, G. Chicco, E. Bompard, Tao Huang, A. Mazza, M. Rapizza","doi":"10.1109/UPEC55022.2022.9917609","DOIUrl":null,"url":null,"abstract":"This paper addresses the preparation of synthetic models for electrical transmission systems, using open (publicly available) data. Starting from information gathered from maps with multiple data such as OpenStreetMap, the nodes and lines are extracted and are used to establish the network topology. An example constructed in an Italian region is shown.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Topological Aspects of Building Synthetic Models for Power Transmission Networks from Public Data\",\"authors\":\"Lorenzo Solida, G. Chicco, E. Bompard, Tao Huang, A. Mazza, M. Rapizza\",\"doi\":\"10.1109/UPEC55022.2022.9917609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the preparation of synthetic models for electrical transmission systems, using open (publicly available) data. Starting from information gathered from maps with multiple data such as OpenStreetMap, the nodes and lines are extracted and are used to establish the network topology. An example constructed in an Italian region is shown.\",\"PeriodicalId\":371561,\"journal\":{\"name\":\"2022 57th International Universities Power Engineering Conference (UPEC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 57th International Universities Power Engineering Conference (UPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC55022.2022.9917609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 57th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC55022.2022.9917609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Topological Aspects of Building Synthetic Models for Power Transmission Networks from Public Data
This paper addresses the preparation of synthetic models for electrical transmission systems, using open (publicly available) data. Starting from information gathered from maps with multiple data such as OpenStreetMap, the nodes and lines are extracted and are used to establish the network topology. An example constructed in an Italian region is shown.