{"title":"电池储能系统模型预测控制分析","authors":"Nimat Shamim, A. Subburaj, S. Bayne","doi":"10.1109/GREENTECH.2017.11","DOIUrl":null,"url":null,"abstract":"This paper describes the Model Predictive Control technique for three phase bi-directional converter to integrate a battery system with the grid. The paper presents an overview of different predictive control technologies. The paper describes the basic concept, operating principle, governing equations and control algorithm of model predictive control for the power converter. The control technique is analyzed to integrate a 1MWh battery system model with the grid. The analysis is done in PSCAD simulation environment for both steady state and fault scenarios. The simulation results are presented to show the effectiveness of Model Predictive Control technology for battery integration.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Model Predictive Control Analysis for the Battery Energy Storage System\",\"authors\":\"Nimat Shamim, A. Subburaj, S. Bayne\",\"doi\":\"10.1109/GREENTECH.2017.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the Model Predictive Control technique for three phase bi-directional converter to integrate a battery system with the grid. The paper presents an overview of different predictive control technologies. The paper describes the basic concept, operating principle, governing equations and control algorithm of model predictive control for the power converter. The control technique is analyzed to integrate a 1MWh battery system model with the grid. The analysis is done in PSCAD simulation environment for both steady state and fault scenarios. The simulation results are presented to show the effectiveness of Model Predictive Control technology for battery integration.\",\"PeriodicalId\":104496,\"journal\":{\"name\":\"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENTECH.2017.11\",\"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 Ninth Annual IEEE Green Technologies Conference (GreenTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENTECH.2017.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model Predictive Control Analysis for the Battery Energy Storage System
This paper describes the Model Predictive Control technique for three phase bi-directional converter to integrate a battery system with the grid. The paper presents an overview of different predictive control technologies. The paper describes the basic concept, operating principle, governing equations and control algorithm of model predictive control for the power converter. The control technique is analyzed to integrate a 1MWh battery system model with the grid. The analysis is done in PSCAD simulation environment for both steady state and fault scenarios. The simulation results are presented to show the effectiveness of Model Predictive Control technology for battery integration.
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