Yanhui Xie, Jing Sun, Chunting Miz, James S. Freudenbergy
{"title":"Analysis and modeling of a DC hybrid power system testbed for power management strategy development","authors":"Yanhui Xie, Jing Sun, Chunting Miz, James S. Freudenbergy","doi":"10.1109/VPPC.2009.5289746","DOIUrl":null,"url":null,"abstract":"This paper presents the analysis and modeling results of a DC hybrid power system testbed. Hybrid power systems combine multiple complementary power generation and energy storage technologies to achieve a level of system performance that is not possible for those involving a single technology. Complicated dynamic interactions of the hybrid power system elements, coupled with stringent safety, power quality and efficiency requirements, impose challenging coordinating control and dynamic optimization problems. To facilitate optimization and power management strategy development for system level design, an experimental testbed was developed at the University of Michigan by the authors. A large signal dynamic model of the DC hybrid power system testbed is developed and validated by experimental results. This model will enable a model based design approach for control development and system integration.","PeriodicalId":191216,"journal":{"name":"2009 IEEE Vehicle Power and Propulsion Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Vehicle Power and Propulsion Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2009.5289746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper presents the analysis and modeling results of a DC hybrid power system testbed. Hybrid power systems combine multiple complementary power generation and energy storage technologies to achieve a level of system performance that is not possible for those involving a single technology. Complicated dynamic interactions of the hybrid power system elements, coupled with stringent safety, power quality and efficiency requirements, impose challenging coordinating control and dynamic optimization problems. To facilitate optimization and power management strategy development for system level design, an experimental testbed was developed at the University of Michigan by the authors. A large signal dynamic model of the DC hybrid power system testbed is developed and validated by experimental results. This model will enable a model based design approach for control development and system integration.