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A robust convex optimization framework for autonomous network planning under load uncertainty
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Document type | Communication à un colloque (Conference Paper) – Poster |
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Access type | Accès libre |
Publication date | 2017 |
Language | Anglais |
Conference | "IEEE Powertech 2017", Manchester (du 18/06/2017 au 22/06/2017) |
Journal information | "Proceedings of 2017 IEEE Manchester PowerTech" - Vol. 2017, p. 1-6 |
Peer reviewed | yes |
Publisher | IEEE |
Publication status | Publié |
Affiliations |
UCL
- SST/IMMC/MEED - Mechatronic, Electrical Energy, and Dynamics Systems UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique UCL - SSH/LIDAM/CORE - Center for operations research and econometrics |
Keywords | Planning ; Uncertainty ; Microgrids ; Generators ; Investment ; Robustness ; Load modeling ; Robust Optimization ; Convex Optimization ; Microgrid |
Links |
Bibliographic reference | Martin, Benoît ; Glineur, François ; De Jaeger, Emmanuel. A robust convex optimization framework for autonomous network planning under load uncertainty.IEEE Powertech 2017 (Manchester, du 18/06/2017 au 22/06/2017). In: Proceedings of 2017 IEEE Manchester PowerTech, Vol. 2017, p. 1-6 |
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Permanent URL | http://hdl.handle.net/2078.1/195307 |