Reference : Overloads Management in Active Radial Distribution Systems: an Optimization Approach ...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/2273
Overloads Management in Active Radial Distribution Systems: an Optimization Approach Including Network Switching
English
Bilibin, Ilya mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Capitanescu, Florin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sachau, Jürgen mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Jun-2013
2013 IEEE PES PowerTech
Yes
International
PowerTech 2013
16-06-2013 to 20-06-2013
IEEE
Grenoble
France
[en] active distribution system ; congestion management ; distributed generation ; optimal power flow ; network switching ; smart grid
[en] This paper focuses on the real-time overloads management in active radial distribution systems that host a significant amount of distributed generators (DGs). In order to possibly reduce the amount of generation curtailed to remove congestion, and hence harvest as much renewable energy as possible, we propose a centralized optimization approach that includes the option to use remotely controlled grid switches and breakers so as to transfer distributed generation between feeders. To mitigate the computational burden posed by modeling the switching actions as binary variables we build upon a very convenient existing optimization framework that, for a radial distribution grid, transforms precisely the original mixed integer nonlinear programming (MINLP) problem into a much simpler mixed integer quadratically constrained (MIQC) one. Although the approach focuses on overload removal in course of optimization it also pays attention not worsening other operational constraints such as voltage limits. We prove the interest and feasibility of our approach using a 33-bus benchmark distribution system as well as a 61-bus real-life distribution system model.
SNT
Fonds National de la Recherche, Luxembourg (C11/SR/1278568).
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/2273
http://powertech2013.grenoble-inp.fr/index.php

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