{"title":"开发多智能体保护系统集成到智能电网中的仿真框架","authors":"P. Peidaee, Akhtar Kalam, M. H. Moghaddam","doi":"10.1109/AUPEC.2017.8282427","DOIUrl":null,"url":null,"abstract":"Although the concept of smart grid has been inspiring for applying complex algorithms and strategies in operating of power systems, but verification of these algorithms are presumed on reliable and accurate simulation framework. To address this significant aspect of the smart grid, a simulation framework is developed through interfacing between MATLAB/SIMULINK with Java Agent Development Environment (JADE). Furthermore, based on the proposed simulation framework a multi-agent protection system (MAPS) has been identified where different agent types collaborate in system protection tasks. The main objective of this paper is to highlight the requirements for an effective simulation framework to integrate MAPS into future smart grids.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Developing a simulation framework for integrating multi-agent protection system into smart grids\",\"authors\":\"P. Peidaee, Akhtar Kalam, M. H. Moghaddam\",\"doi\":\"10.1109/AUPEC.2017.8282427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although the concept of smart grid has been inspiring for applying complex algorithms and strategies in operating of power systems, but verification of these algorithms are presumed on reliable and accurate simulation framework. To address this significant aspect of the smart grid, a simulation framework is developed through interfacing between MATLAB/SIMULINK with Java Agent Development Environment (JADE). Furthermore, based on the proposed simulation framework a multi-agent protection system (MAPS) has been identified where different agent types collaborate in system protection tasks. The main objective of this paper is to highlight the requirements for an effective simulation framework to integrate MAPS into future smart grids.\",\"PeriodicalId\":155608,\"journal\":{\"name\":\"2017 Australasian Universities Power Engineering Conference (AUPEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Australasian Universities Power Engineering Conference (AUPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUPEC.2017.8282427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2017.8282427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing a simulation framework for integrating multi-agent protection system into smart grids
Although the concept of smart grid has been inspiring for applying complex algorithms and strategies in operating of power systems, but verification of these algorithms are presumed on reliable and accurate simulation framework. To address this significant aspect of the smart grid, a simulation framework is developed through interfacing between MATLAB/SIMULINK with Java Agent Development Environment (JADE). Furthermore, based on the proposed simulation framework a multi-agent protection system (MAPS) has been identified where different agent types collaborate in system protection tasks. The main objective of this paper is to highlight the requirements for an effective simulation framework to integrate MAPS into future smart grids.