Reference : Overloads Management in Active Radial Distribution Systems: an Optimization Approach ...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/2273

Title :	Overloads Management in Active Radial Distribution Systems: an Optimization Approach Including Network Switching
Language :	English
Author, co-author :	Bilibin, Ilya [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Capitanescu, Florin [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sachau, Jürgen [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Jun-2013
Main document title :	2013 IEEE PES PowerTech
Peer reviewed :	Yes
Audience :	International
Event name :	PowerTech 2013
Event date :	16-06-2013 to 20-06-2013
Event organizer :	IEEE
Event place (city) :	Grenoble
Event country :	France
Keywords :	[en] active distribution system ; congestion management ; distributed generation ; optimal power flow ; network switching ; smart grid
Abstract :	[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.
Research centres :	SNT
Funders :	Fonds National de la Recherche, Luxembourg (C11/SR/1278568).
Name of the research project :	I2R-DIR-PFN-11REDE > C11/SR/1278568 : REDESG > 01/01/2012 - 31/12/2014 > SACHAU Jürgen
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/2273
Other URL :	http://powertech2013.grenoble-inp.fr/index.php

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access paper_PT_final_v2.pdf Author preprint 698.73 kB View/Open

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map