Jiaqi Huang, Qi-xin Wang, Z. Sang, Jie Yang, He Lei, Junyao Liu, Jiong Yan, Yin-xiang Wang
{"title":"基于电网通信网故障分析的直流潮流模型","authors":"Jiaqi Huang, Qi-xin Wang, Z. Sang, Jie Yang, He Lei, Junyao Liu, Jiong Yan, Yin-xiang Wang","doi":"10.1109/IFEEA57288.2022.10037903","DOIUrl":null,"url":null,"abstract":"The study of cascading fault is of great significance in dealing with sudden large-scale blackouts. However, the traditional study of cascading fault seldom considers the influence of information network communication optical cable on the cascading fault of power network. From the point of view of information network edge, under the DC power flow model, the influence of information network on power network cascading fault is established, and the IEEE 30 node system is taken as an example to study the influence of random fault of communication optical cable and different information network topology on power network cascading fault. The simulation results indicate that due to the introduction of the information network, the number of vulnerable points in the power system increases, resulting in an increase in the risk of large-scale blackouts. With the increase of the fault scale of the communication optical cable in the information network, the impact of the information network on the chain fault of the power network becomes weak from strong to stable. At the same time, the topological structure of the information network has a significant impact on the chain fault of the power network. The wider degree distribution of the information network increases the vulnerability of the power network. In a regular network, the greater the degree of information nodes, the smaller the impact of the communication optical cable fault on the chain fault of the power network.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The DC Power Flow Model Based Analysis on Failure of Power Grid Communication Network\",\"authors\":\"Jiaqi Huang, Qi-xin Wang, Z. Sang, Jie Yang, He Lei, Junyao Liu, Jiong Yan, Yin-xiang Wang\",\"doi\":\"10.1109/IFEEA57288.2022.10037903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study of cascading fault is of great significance in dealing with sudden large-scale blackouts. However, the traditional study of cascading fault seldom considers the influence of information network communication optical cable on the cascading fault of power network. From the point of view of information network edge, under the DC power flow model, the influence of information network on power network cascading fault is established, and the IEEE 30 node system is taken as an example to study the influence of random fault of communication optical cable and different information network topology on power network cascading fault. The simulation results indicate that due to the introduction of the information network, the number of vulnerable points in the power system increases, resulting in an increase in the risk of large-scale blackouts. With the increase of the fault scale of the communication optical cable in the information network, the impact of the information network on the chain fault of the power network becomes weak from strong to stable. At the same time, the topological structure of the information network has a significant impact on the chain fault of the power network. The wider degree distribution of the information network increases the vulnerability of the power network. In a regular network, the greater the degree of information nodes, the smaller the impact of the communication optical cable fault on the chain fault of the power network.\",\"PeriodicalId\":304779,\"journal\":{\"name\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEA57288.2022.10037903\",\"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 9th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA57288.2022.10037903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The DC Power Flow Model Based Analysis on Failure of Power Grid Communication Network
The study of cascading fault is of great significance in dealing with sudden large-scale blackouts. However, the traditional study of cascading fault seldom considers the influence of information network communication optical cable on the cascading fault of power network. From the point of view of information network edge, under the DC power flow model, the influence of information network on power network cascading fault is established, and the IEEE 30 node system is taken as an example to study the influence of random fault of communication optical cable and different information network topology on power network cascading fault. The simulation results indicate that due to the introduction of the information network, the number of vulnerable points in the power system increases, resulting in an increase in the risk of large-scale blackouts. With the increase of the fault scale of the communication optical cable in the information network, the impact of the information network on the chain fault of the power network becomes weak from strong to stable. At the same time, the topological structure of the information network has a significant impact on the chain fault of the power network. The wider degree distribution of the information network increases the vulnerability of the power network. In a regular network, the greater the degree of information nodes, the smaller the impact of the communication optical cable fault on the chain fault of the power network.