A. Bonfiglio, S. Bracco, M. Brignone, F. Delfino, F. Pampararo, R. Procopio, M. Robba, M. Rossi
{"title":"A receding-horizon approach for active and reactive power flows optimization in microgrids","authors":"A. Bonfiglio, S. Bracco, M. Brignone, F. Delfino, F. Pampararo, R. Procopio, M. Robba, M. Rossi","doi":"10.1109/CCA.2014.6981445","DOIUrl":null,"url":null,"abstract":"An approach based on a receding-horizon control scheme is here proposed for the optimal control of active and reactive power flows in microgrids (an aggregation of distributed energy resources (DER) of small size (such as photovoltaics, wind generation, cogeneration units - CHP, concentrated solar power - CSP, mini-hydro, energy storage)). Microgrids represent today one of the most promising technology for DERs integration, as they can alleviate management and monitoring burden for the Distribution System Operator (DSO) by clustering several DERs in a single entity which interacts with the grid as a single source. The formalized decision model is applied to an innovative test-bed facility (the University of Genova Smart Polygeneration Microgrid).","PeriodicalId":205599,"journal":{"name":"2014 IEEE Conference on Control Applications (CCA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Control Applications (CCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2014.6981445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
An approach based on a receding-horizon control scheme is here proposed for the optimal control of active and reactive power flows in microgrids (an aggregation of distributed energy resources (DER) of small size (such as photovoltaics, wind generation, cogeneration units - CHP, concentrated solar power - CSP, mini-hydro, energy storage)). Microgrids represent today one of the most promising technology for DERs integration, as they can alleviate management and monitoring burden for the Distribution System Operator (DSO) by clustering several DERs in a single entity which interacts with the grid as a single source. The formalized decision model is applied to an innovative test-bed facility (the University of Genova Smart Polygeneration Microgrid).