Shida Zhang, Daniel May, Peter Atrazhev, M. Gül, A. Leach, Timothy M. Weis, P. Musílek
{"title":"ETX:一种用于交互能源系统设计的灵活仿真框架","authors":"Shida Zhang, Daniel May, Peter Atrazhev, M. Gül, A. Leach, Timothy M. Weis, P. Musílek","doi":"10.1109/CCECE.2019.8861523","DOIUrl":null,"url":null,"abstract":"The rapid growth in the installations of small scale, distributed energy resources in the recent years is astonishing. However, these installations are putting strain on the grid. This paper introduces the ETX simulation framework that allows for coordinated, repeatable studies of interactions between market, operations, and regulations. In addition, ETX is an excellent environment for artificial intelligence (AI) research that allows effective simulation of (AI)-based agents. This is crucial as the grid becomes more dynamic and complex, precluding direct human involvement in energy trading and management. Finally, through modeling behavior of individual participants in transactive energy systems, ETX provides quantitative comparisons instrumental for design of future electricity markets.","PeriodicalId":352860,"journal":{"name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems\",\"authors\":\"Shida Zhang, Daniel May, Peter Atrazhev, M. Gül, A. Leach, Timothy M. Weis, P. Musílek\",\"doi\":\"10.1109/CCECE.2019.8861523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid growth in the installations of small scale, distributed energy resources in the recent years is astonishing. However, these installations are putting strain on the grid. This paper introduces the ETX simulation framework that allows for coordinated, repeatable studies of interactions between market, operations, and regulations. In addition, ETX is an excellent environment for artificial intelligence (AI) research that allows effective simulation of (AI)-based agents. This is crucial as the grid becomes more dynamic and complex, precluding direct human involvement in energy trading and management. Finally, through modeling behavior of individual participants in transactive energy systems, ETX provides quantitative comparisons instrumental for design of future electricity markets.\",\"PeriodicalId\":352860,\"journal\":{\"name\":\"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2019.8861523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2019.8861523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems
The rapid growth in the installations of small scale, distributed energy resources in the recent years is astonishing. However, these installations are putting strain on the grid. This paper introduces the ETX simulation framework that allows for coordinated, repeatable studies of interactions between market, operations, and regulations. In addition, ETX is an excellent environment for artificial intelligence (AI) research that allows effective simulation of (AI)-based agents. This is crucial as the grid becomes more dynamic and complex, precluding direct human involvement in energy trading and management. Finally, through modeling behavior of individual participants in transactive energy systems, ETX provides quantitative comparisons instrumental for design of future electricity markets.