{"title":"基于交通-电力耦合网络密度和相关性的公路能源群落分类","authors":"Min Guo, M. Xia, Qifang Chen","doi":"10.1109/CIEEC58067.2023.10167179","DOIUrl":null,"url":null,"abstract":"The coupling between electrified highway traffic network and distribution network makes the traffic flow and power flow more complicated. The dynamic traffic flow in highway traffic network presents the characteristics of multi-temporal distribution and congestion. Dynamic vehicle-flow coupled distribution network has strong randomness, uncertainty and dispersion. Therefore, a method to divide highway energy community based on the density and correlation of highway traffic network and power network is proposed herein. Firstly, the coupling model of highway traffic network and power network is established based on the electric-hydrogen integrated energy supply station. Secondly, the highway energy community is defined, and its measurement index is given based on synergetic theory. Finally, a method of dividing highway energy community structure based on density and correlation is proposed. Simulation results show that the proposed method is effective.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classification of highway energy community based on density and correlation of highway traffic-power coupling network\",\"authors\":\"Min Guo, M. Xia, Qifang Chen\",\"doi\":\"10.1109/CIEEC58067.2023.10167179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coupling between electrified highway traffic network and distribution network makes the traffic flow and power flow more complicated. The dynamic traffic flow in highway traffic network presents the characteristics of multi-temporal distribution and congestion. Dynamic vehicle-flow coupled distribution network has strong randomness, uncertainty and dispersion. Therefore, a method to divide highway energy community based on the density and correlation of highway traffic network and power network is proposed herein. Firstly, the coupling model of highway traffic network and power network is established based on the electric-hydrogen integrated energy supply station. Secondly, the highway energy community is defined, and its measurement index is given based on synergetic theory. Finally, a method of dividing highway energy community structure based on density and correlation is proposed. Simulation results show that the proposed method is effective.\",\"PeriodicalId\":185921,\"journal\":{\"name\":\"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIEEC58067.2023.10167179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEEC58067.2023.10167179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification of highway energy community based on density and correlation of highway traffic-power coupling network
The coupling between electrified highway traffic network and distribution network makes the traffic flow and power flow more complicated. The dynamic traffic flow in highway traffic network presents the characteristics of multi-temporal distribution and congestion. Dynamic vehicle-flow coupled distribution network has strong randomness, uncertainty and dispersion. Therefore, a method to divide highway energy community based on the density and correlation of highway traffic network and power network is proposed herein. Firstly, the coupling model of highway traffic network and power network is established based on the electric-hydrogen integrated energy supply station. Secondly, the highway energy community is defined, and its measurement index is given based on synergetic theory. Finally, a method of dividing highway energy community structure based on density and correlation is proposed. Simulation results show that the proposed method is effective.