dc.contributor.author | Maffei, Alessio | |
dc.contributor.author | Srinivasan, Seshadhri | |
dc.contributor.author | Meola, Daniela | |
dc.contributor.author | Palmieri, Giovanni | |
dc.contributor.author | Iannelli, Luigi | |
dc.contributor.author | Holhjem, Øystein Hov | |
dc.contributor.author | Marafioti, Giancarlo | |
dc.contributor.author | Mathisen, Geir | |
dc.contributor.author | Glielmo, Luigi | |
dc.date.accessioned | 2018-03-06T08:54:54Z | |
dc.date.available | 2018-03-06T08:54:54Z | |
dc.date.created | 2018-01-08T15:43:00Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 2377-3782 | |
dc.identifier.uri | http://hdl.handle.net/11250/2488798 | |
dc.description.abstract | Two Major challenges in securing reliable Optimal Power Flow (OPF) operations are: (i) fluctuations induced due to renewable generators and energy demand, and (ii) interaction and interoperability among the different entities. Addressing these issues requires handling both physical (e.g., power flows) and cyber aspects (computing and communication) of the energy grids, i.e, a cyber-physical systems (CPS) approach is necessitated. First, this investigation proposes a receding horizon control (RHC) based approach for solving OPF to deal with the uncertainties. It uses forecasts on renewable generation and demand and an optimization model solving a predictive control problem to secure energy balance while meeting the network constraints. Second, to handle the interoperability issues, a middleware using common information model (CIM) for exchanging information among applications and the associated profiles are presented. CIM profiles modelling various components and aspects of the RHC based OPF is proposed. In addition, a middleware architecture and services to collect information is discussed. The proposed CPS approach is illustrated in a distribution grid in Steinkjer, Norway having 85 nodes, 700 customers, 3 hydrogenerators, and various industrial loads. Our results demonstrate the benefits of CPS approach to implement OPF addressing also the interoperability issues. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.title | A Cyber-Physical Systems Approach for Implementing the Receding Horizon Optimal Power Flow in Smart Grids | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.journal | IEEE Transactions on Sustainable Computing | nb_NO |
dc.identifier.doi | 10.1109/TSUSC.2017.2737144 | |
dc.identifier.cristin | 1538026 | |
dc.description.localcode | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 0 | |