{"title":"分布式和集中式智能电网系统服务研究的建模框架","authors":"F. B. Haugli, P. Heegaard","doi":"10.1109/SmartGridComm51999.2021.9631997","DOIUrl":null,"url":null,"abstract":"The increased complexity of modern smart grids require new methods for dependability analysis, as system services depend on other services as well as components both in the power grid and ICT domain. This paper describes a method for modeling such a system with its direct and implicit dependencies. A tool has been developed for defining system models in an object oriented manner in the Python programming language and extract dependability metrics for the different system services through Discrete Event Simulation. Finally, an example case is shown illustrating the trade-off in performance and complexity between a centralized and decentralized control scheme.","PeriodicalId":378884,"journal":{"name":"2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"399 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling framework for study of distributed and centralized smart grid system services\",\"authors\":\"F. B. Haugli, P. Heegaard\",\"doi\":\"10.1109/SmartGridComm51999.2021.9631997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increased complexity of modern smart grids require new methods for dependability analysis, as system services depend on other services as well as components both in the power grid and ICT domain. This paper describes a method for modeling such a system with its direct and implicit dependencies. A tool has been developed for defining system models in an object oriented manner in the Python programming language and extract dependability metrics for the different system services through Discrete Event Simulation. Finally, an example case is shown illustrating the trade-off in performance and complexity between a centralized and decentralized control scheme.\",\"PeriodicalId\":378884,\"journal\":{\"name\":\"2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"volume\":\"399 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SmartGridComm51999.2021.9631997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm51999.2021.9631997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling framework for study of distributed and centralized smart grid system services
The increased complexity of modern smart grids require new methods for dependability analysis, as system services depend on other services as well as components both in the power grid and ICT domain. This paper describes a method for modeling such a system with its direct and implicit dependencies. A tool has been developed for defining system models in an object oriented manner in the Python programming language and extract dependability metrics for the different system services through Discrete Event Simulation. Finally, an example case is shown illustrating the trade-off in performance and complexity between a centralized and decentralized control scheme.